Harnessing NVIDIA Tools for Developers with Precision AI-Ready Workstations

In the rapidly evolving field of AI and machine learning, there’s a growing need for tools that can enhance efficiency and effectiveness in the development process. With LLMs being an essential component of GenAI, enterprises are looking for an easy button to integrate models into their day-to-day workflows.

Dell Precision AI-ready workstations, in combination with the NVIDIA AI Workbench enterprise-ready toolkit—recently made generally available at NVIDIA GTC—represent a powerful solution to address the challenges developers face in setting up, managing and scaling their AI projects and play an integral role in the newly announced Dell AI Factory with NVIDIA.

Key Challenges

AI developers and data scientists encounter various challenges that impede model development and collaboration, hampering efforts in model creation, customization and training. A few of the key challenges include:

• Hardware setup. Configuring hardware for deep learning and GenAI tasks is typically intricate and technical, involving multiple steps that consume developers’ time and resources, diverting their focus from actual model development.
• Portability freedom. Achieving the flexibility to migrate developments and workloads to different locations requires substantial effort and technical proficiency. Challenges encountered on the source machine may resurface on the target, particularly if the environment is different. Dependencies and variables play a crucial role in determining how projects perform across diverse environments.
• Workflow management. Identifying, installing and managing elements of AI workflows requires many cycles. Developers are faced with manually tracking project elements, and the lack of automation and user-friendly interfaces impact productivity.

NVIDIA Tools for Developers

NVIDIA provides a rich ecosystem of tools through NVIDIA AI Enterprise, available today through Dell—an end-to-end software platform designed to accelerate data science pipelines and simplify the development and deployment of AI applications. With best-in-class development tools, frameworks and pre-trained models, enterprises using NVIDIA AI Enterprise software can seamlessly move from pilot phases to full-scale production. New NVIDIA microservices, including NVIDIA NIM for inference and NeMo Retriever for retrieval-augmented generation, or RAG, are supported on Dell Precision AI-ready workstations, giving developers incredible flexibility in building and running production-grade enterprise AI. This capability, paired with Precision workstations, is extremely effective in developing, testing and collaborating on AI projects within the Dell AI Factory with NVIDIA. AI Enterprise can seamlessly move from the Precision on the desktop to PowerScale AI servers in the data center or private cloud, and easily scale to full production.

In addition, the newly announced general availability of NVIDIA AI Workbench addresses developer challenges by providing a platform for reproducibility and portability. GenAI developers and data scientists can fine-tune, customize and deploy large language models across GPU-enabled environments. Whether users are starting locally on an NVIDIA RTX-powered workstation or scaling out to a data center or cloud instance via NVIDIA AI Enterprise, AI Workbench streamlines selecting foundation models, building the project environment and fine-tuning these models with domain-specific data. By removing the complexity of technical tasks that may confound experts or hinder novices, AI Workbench makes AI development accessible to every software coder. The platform offers several features and benefits:

◉ Easy setup. AI Workbench streamlines the setup and configuration of GPU-accelerated hardware, automating software and driver installation which allows for optimal Jupyter Notebook setup for workstations.

◉ Automation. The platform automates workflows across infrastructure, from deskside to data center technology environments, including multicloud, enabling developers to reproduce, collaborate and easily port their work anywhere to any platform, for optimal scale, speed and cost.

◉ Greater productivity. By automating installation and streamlining access to popular repositories like Hugging Face, GitHub and NVIDIA NGC, developers can focus on execution and manage interactive project workflows across the enterprise development environment.

Powering AI Development

Dell Precision AI-ready workstations equipped with NVIDIA RTX™ professional GPUs and paired with NVIDIA AI Workbench play a critical role in AI infrastructures. Workstations provide an ideal foundation for developing and deploying AI models locally. As the world’s number one workstation brand, Precision workstations offer a comprehensive selection of AI-ready devices, allowing businesses to capitalize on opportunities to drive innovation. Precision workstation platforms, from mobile to tower form factors, provide several key advantages:

• Simplified. Precision workstations simplify the AI journey by enabling software developers and data scientists to prototype, develop and fine-tune GenAI models locally on the device.
• Local environment and control. Within a sandbox environment, developers have full control over the configuration and resources, allowing for easy customization and upgrades. This provides for predictability, which is crucial for informed decision-making and builds confidence in the AI models.
• Tailored and scalable. Depending on the requirements for GenAI workloads, workstations can be designed and configured to support up to four NVIDIA RTX Ada Generation GPUs in a single unit, such as the Precision 7960 Tower. This provides users with substantial performance across their AI projects and streamlines both training and development phases.
• Trusted. Running AI workloads at the deskside allows for data to stay on-premises, providing greater control over data access and minimizing the potential exposure of proprietary information.

Partnering for Success

Dell Technologies, in collaboration with NVIDIA, is at the forefront of AI, providing the technology that makes tomorrow possible, today. Together, NVIDIA AI Workbench and Dell Precision AI-ready workstations unlock a new array of tools and resources that are designed to expedite the AI journey from deskside to data center.

Source: dell.com

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The Telecom Testing Dilemma: Dine Out or Take Home?

It’s no secret among communications service providers (CSPs) that building an open 5G network can be complicated, particularly when you consider the mix of cloud, radio access network (open, virtualized and traditional), hardware and software vendors in the mix today. One of the great developments in the industry is that Dell Technologies provides a world-class testing, integration and validation facility—dubbed the Open Telecommunications Ecosystem Lab (OTEL)—where you can test and validate best-of-breed 5G solutions in an advanced and secure setting with Dell’s expert telecom engineers on hand.

But now, visiting OTEL is no longer the only option to take advantage of Dell’s testing and validation expertise. With the recent expansion of Dell Open Telecom Ecosystem Lab Validation Services, that expertise can be delivered straight to your door for a secure, on-site experience. It’s Alexander Graham Bell meets Taco Bell: telecom expertise with take-home convenience, but without the messy fingers afterward.

We’re Your Resident Experts

Since we opened OTEL in 2021, many CSPs and network equipment providers (NEPs) have come through its doors for testing and validation services. They come to us because integrating open-source components from multiple vendors to build a production-ready 5G solution is hard work. They come to us because finding people who know how to integrate and validate those systems is not easy. They come to us because secure, state-of-the-art testing facilities that you can trust are hard to find.

With Lab Validation Services, all of that can now also come to you. We bring the people, the processes, the tools and the proven methodologies to help you create, integrate and validate 5G solutions right in your secure environment. Lab Validation Services deliver the benefits of Dell’s expertise right to your door: a resident lab engineer with unparalleled knowledge in telecommunications, cloud and virtualization, proven methods based on real-world successes, access to cutting-edge technology from the world’s leading network equipment vendors, comprehensive reports and recommended configurations and a dedicated program manager to make sure it all runs smoothly.

End-to-end Services . . . and Much More

At Dell, we believe an open ecosystem built around best-of-breed solutions is what’s best for CSPs in the future. If you want scalable, sustainable hardware, advanced automation tools and deep experience in wrangling different partners together to support integrated solutions, we’ve got it. But we’ve also got great relationships with other industry leading 5G solution providers. It’s our ability to work well with others that makes us the right partner to work with when you’re ready to integrate and validate your own best-of-breed 5G solutions.

Nowhere is the power of that partnership more evident than in our Dell Telecom Infrastructure Blocks. These engineered solutions are designed by Dell Technologies to reduce the cost of complexity of deploying a telco cloud infrastructure by providing pre-integrated, pre-validated Dell hardware with software from our telco cloud partners, Red Hat and Wind River. Infrastructure Blocks deliver the right (and right-sized) infrastructure for your cloud transformation and can now be tested and validated through Dell’s Lab Validation Services using your own testing tools and network equipment in a pre-production environment on-prem.

Beyond Infrastructure Blocks, Dell’s Lab Validation Services can help CSPs modernize their networks in a number of ways. We can help you design and test Open RAN or virtualized RAN solutions featuring software from your workload vendor of choice. We can help you build a 5G standalone or non-standalone core network with your choice of NEPs. And we can do all those things while helping you optimize your network capacity, improve performance and ensure compliance.

We’ll Even Take the Next Steps

Whether you choose off-site testing and validation services at our secure OTEL facility, on-site testing and validation in your own labs with a resident lab engineer or a combination of two, Dell Technologies is there for you to help you embrace 5G and next-generation technologies on your terms. Customers who engage with Dell’s telecom service professionals have experienced a host of benefits, including faster time to value for new services. IDC also reinforces the value of a resident engineer, with these experts driving measurable outcomes, including 25% technology performance improvements, 31% more efficiency in staffing and 18 fewer incidents per month on average.

Building, testing and deploying 5G network services has never been so convenient. So, if you’re ready to take the next step in your network modernization journey, talk to Dell Technologies. We’ll take the next steps from there…all the way to your front door.

Source: dell.com

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Detect and Respond to Cyber Threats

Cyber threats stifle innovation by disrupting organizations. The objective of detecting and responding to cyber threats is to minimize the impact of organizational progress and potential damage caused by security incidents.

Detecting and responding to cyber threats is a cybersecurity concept that helps to proactively identify and actively address potential security incidents and malicious activities within a computer network, system or organization. It involves monitoring and analyzing network traffic, system logs and security data as ways to identify signs of unauthorized access, intrusions, malware infections, data breaches or other cyber threats.

The process of detecting and responding to cyber threats typically involves the following, but is not limited to:

• Monitoring. Scanning network and system activities using security tools and technologies like intrusion detection systems (IDS), intrusion prevention systems (IPS), log analysis and threat intelligence feeds.
• Threat detection. Analyzing collected data to identify patterns, anomalies, and indicators of compromise (IoCs) that may indicate a potential cyber threat. This includes recognizing known attack signatures as well as identifying anomalous behavior or deviations from the norm.
• Alerting and notification. Generating alerts and notifications to security personnel or a security operations center (SOC) when potential threats or incidents are detected. These alerts provide early warning to prompt investigation and response.
• Incident response. Initiating a response plan to investigate and mitigate confirmed security incidents. This involves containing the impact, identifying the root cause and implementing necessary actions to restore systems and prevent further damage with MDR type tools.
• Utilization of AI / ML. Detecting cyber threats through real-time analysis of unusual data patterns or behaviors. These technologies also facilitate rapid response by assessing threat severity, predicting impacts, automating certain defensive actions and scaling security practices, thus minimizing potential damage.
• Forensic analysis. Conducting detailed analysis of the incident to understand the attack methodology, determine the extent of the breach, identify affected systems or data and gather evidence for potential legal or disciplinary actions.
• Remediation and recovery. Taking steps to remediate vulnerabilities, patch systems, remove malware and implement enhanced security measures to prevent similar incidents in the future. Restoring affected systems and data to their normal state is also part of the recovery process.

Promptly identifying and responding to threats allows organizations to mitigate risks, protect sensitive data, maintain business continuity and safeguard their reputation. Faster response to threats enables businesses to stay focused on innovation and drive the business forward. This is an ongoing and iterative process that starts with an honest assessment of an organization’s environment and requires a combination of technology, skilled personnel, well-defined processes and collaboration across various teams within an organization, as well as experienced partners.

Taking steps to increase the visibility, control and responsiveness of an environment helps organizations more effectively meet their uptime objectives, keep the business operational and help ensure businesses continue their innovation journey.

Source: dell.com

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Dell and AMD: Redefining Cool in the Data Center

You might be surprised to learn that one of the main challenges facing data centers today isn’t scalability or security. It’s energy. As servers become exponentially more powerful, they require even more power to run them. This at a time when energy costs are fluctuating and most enterprises are committed to reducing their energy usage through sustainable business practices. Fortunately, Dell Technologies has developed some really cool innovations around energy efficiency that make our PowerEdge servers featuring AMD’s fourth generation EPYC processors both more scalable and more sustainable than ever before.

Keeping Up with Rising Demands…without Catching Heat

There’s a lot more to Dell’s PowerEdge servers than just processors and storage drives. For example: air. And while you may not think about airflow when you think of a server chassis, at Dell we spend a lot of time thinking about how to optimize and improve airflow to keep energy costs low and processing performance at peak levels. Our unique Smart Cooling technology uses computational fluid dynamics to discover the optimal airflow configurations for our PowerEdge servers. Dell’s Smart Flow design, for example, enables PowerEdge servers to run at higher temperatures by increasing airflow in the server chassis, even as it reduces fan energy consumption by as much as 52%.

Improved airflow is only one aspect of our Smart Cooling initiative. We’ve also forged innovations in direct liquid and immersion cooling, which you can read more about here. And we continue to work with our partners to improve the sustainability and energy efficiency of our products through joint development initiatives—like the PowerEdge C6615 with AMD Siena, which maximizes density and air-cooling efficiency for data centers where footprint expansion is not an option.

Dell Delivers Energy Savings You Can See

Now, you may be thinking, “Those innovations sound impressive, but how do I know they’re actually saving me money and reducing energy consumption?” That’s where Dell’s OpenManage Power Manager comes into play. OpenManage Power Manager allows organizations to view and manage their energy consumption, calculate energy cost savings and track other performance metrics from their PowerEdge servers through an easy-to-navigate graphical user interface (GUI). Power Manager monitors server utilization, greenhouse gas (GHG) emissions, energy savings (based on local energy rates) and more to ensure that you’re getting the most from your PowerEdge servers while using the least amount of energy (known as power usage effectiveness or PUE).

Another tool for energy management is the integrated Dell Remote Access Controller (iDRAC). iDRAC works in conjunction with Dell Lifecycle Controller to help manage the lifecycle of Dell PowerEdge servers from deployment to retirement. It also provides telemetry data generated by PowerEdge sensors and controls, including:

◉ Real-time airflow consumption (in cubic feet per minute or CFM) with tools to remotely control airflow balancing at the rack and data center levels.

◉ Air temperature control from the inlet to exhaust.

◉ PCIe card inlet temperature and airflow.

◉ Exhaust temperature controls based on hot/cold aisle configurations or other considerations.

Achieving Sustainability at Scale

You can choose Dell PowerEdge servers for their legendary reliability and exceptional scalability. Many hyperscalers and enterprises do just that. But it’s nice to know that you don’t have to choose between doing what’s best for your data center and doing what’s best for the environment. With Dell PowerEdge servers featuring AMD EPYC processors, companies can increase their server performance per watt for scale workloads, reduce the amount of energy they use in their data centers, measure that energy usage in real time, automate energy-tracking policies such as power caps and proactively address energy issues before they present a problem. The complete PowerEdge portfolio for scale is available in multiple configurations and chassis heights with air-cooling and DLC options that enable significant energy savings and greater computational efficiency compared with previous server generations.

As more businesses look to balance scalability with sustainability, there’s never been a better time to consider Dell PowerEdge servers powered by AMD for your data center. PowerEdge servers with AMD EPYC processors deliver the consolidation opportunities and scalability you need to move forward, without getting burned by high energy costs. Now, how cool is that?

Source: dell.com

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Addressing Critical Data Security Challenges Through the GenAI Lifecycle

As organizations move forward with generative AI (GenAI), they must consider and provide for data security. Because generative AI models consume text, images, code and other types of unstructured, dynamic content, the attack surface is broadened, escalating the risk of a security breach.

Having trusted data is essential for building confidence in GenAI outcomes and driving business transformation. It’s crucial to secure data for deployment of reliable GenAI solutions.

Organizations must consider generative AI data risks in the four stages of the GenAI data lifecycle: data sourcing, data preparation, model customization/training and operations and scaling. For each stage, we’ll look briefly at the overall challenges, a potential attack vector and mitigation actions for that attack.

Data Sourcing: Protect Your Sources

In this stage, data sources are discovered and acquired from the organization’s internal systems and datasets or from external sources. Organizations must continue to ensure the cleanliness and security of structured and semi-structured data. With GenAI, unstructured data—such as images, video, customer feedback or physician notes—also moves to the forefront. Finally, the integrity of the model data must be assured, which includes fine-tuning data, vector embeddings and synthetic data.

An AI supply chain attack occurs when an attacker modifies or replaces data or a library that supplies data for a generative AI application. As an example, an attacker might modify the code of a package on which the application relies, then upload the modified package version to a public repository. When the victim organization downloads and installs the package, the malicious code is installed.

An organization can protect itself against an AI supply chain attack by verifying digital signatures of downloaded packages, using secure package repositories, regularly updating packages, using package verification tools and educating developers on the risks of supply chain attacks.

Data Preparation: Control Access and Enforce Data Hygiene

In the data preparation stage, acquired data is prepared for model training, fine-tuning or model augmentation. This may include filtering junk data, de-duplication and cleansing, identifying bias and handling sensitive or personally identifiable information. All these activities provide opportunities for an actor to contaminate or manipulate data.

Data poisoning attacks occur when an attacker manipulates training data to cause the model to behave in an undesirable way. For example, an attacker could cause a spam filter to incorrectly classify emails by injecting maliciously labeled spam emails into the training data set. The attacker also could falsify the labeling of the emails.

To prevent these sorts of attacks, companies should validate and verify data before using it to train or customize a model, restrict who can access the data, make timely updates to system software and validate the model using a separate validation set that was not used during testing.

Model Training/Customization: Validate Data and Monitor for Adversarial Activity

In the model training stage, the acquired data is used to re-train, fine-tune or augment the generative AI model for specific requirements. The AI team trains or enriches the model with a specific set of parameters that define the intent and needs of the GenAI system.

In model skewing attacks, an attacker manipulates the distribution of the training data to cause the model to behave in an undesirable way. An example case would be a financial institution that uses an AI model to predict loan applicant creditworthiness. An attacker could manipulate the feedback loop and provide fake data to the system, incorrectly indicating that high-risk applicants are low risk (or vice versa).

Key mitigating steps to prevent a model skewing attack include implementing robust access controls, properly classifying data, validating data labels and regularly monitoring the model’s performance.

Operations and Scaling: Protect AI Production Environment Integrity

As an organization scales its AI operations, they will mature and become more competent in robust data management practices. But opportunities remain—for example, the generated information itself becomes a new dataset. Companies will need to stay vigilant.

A prompt injection occurs when an attacker manipulates a large language model (LLM) through crafted inputs, causing the LLM to inadvertently execute the attacker’s intentions. Consider an attacker who injects a prompt to an LLM-based support chatbot which tells the chatbot to “forget all previous instructions.” The LLM is then instructed to query data stores and exploit package vulnerabilities. This can lead to remote code execution, allowing the attacker to gain unauthorized access and privilege escalation.

To inhibit prompt injections, restrict LLM access to back-end systems to the minimum necessary and establish trust boundaries between the LLM, external sources and extensible functionality such as plugins.

Examine Your Data Risks as Part of AI Strategy and Execution

This post has presented some types of attack risks that can be opened up when training, customizing and using GenAI models. In addition to familiar risks from data analytics, GenAI presents new data security challenges. And the model itself must be guarded during training, fine-tuning, vector embedding and production.

This is a big undertaking. Given the ambitious goals and time-frames many organizations have set for deploying GenAI use cases, they can’t afford the time to gradually add the people, processes and tools required for the heavy lift of GenAI data security.

Dell Services is ready to help with these challenges, with our Advisory Services for GenAI Data Security. Consultants with data security and AI expertise help you identify data-related risks through the four stages of the GenAI data lifecycle—data sourcing, data preparation, model training/customization and AI operations and scaling. Our team provides understanding of possible attack surfaces and helps you prioritize the risks and mitigation strategies, leveraging frameworks such as MITRE ATLAS, OWASP ML Top 10 and OWASP LLM Top 10.

Source: dell.com

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PowerScale: World’s First Ethernet Storage Certified on NVIDIA SuperPOD

Welcome to the era of GenAI, where innovation meets efficiency, and the possibilities are limitless. As businesses navigate the competitive landscape, the demand for harnessing the power of AI has never been higher. At Dell, we understand the importance of staying ahead in this fast-paced environment, which is why we’re bringing you the ultimate solution: Dell PowerScale, the world’s first Ethernet-validated storage solution for NVIDIA DGX SuperPOD with NVIDIA DGX H100 systems.

In today’s world, driving impactful results requires staying at the forefront of technological advancements. With GenAI technology, organizations can unlock new insights, optimize processes and drive innovation like never before. Dell PowerScale, coupled with NVIDIA DGX SuperPOD, offers a game-changing solution that enables businesses to innovate faster and achieve powerful efficiency in their AI initiatives.

What Sets Dell PowerScale Apart?

Refining GenAI Models with Unmatched Flexibility and Security

One of the key advantages of Dell PowerScale is its unmatched flexibility and security. With PowerScale’s scalable architecture, organizations can effortlessly expand their storage footprint as needed, ensuring they have the resources to refine GenAI models and unlock valuable insights. Additionally, PowerScale’s robust security features, powered by the OneFS operating system, provide organizations with peace of mind knowing their data is protected at all times.

Accelerating Data Access with High-Speed Ethernet Technology

Efficiency is paramount in the world of AI, and Dell PowerScale excels in delivering high-speed data access to the NVIDIA DGX systems that make up the DGX SuperPOD. Technologies like NVIDIA Magnum IO, GPUDirect Storage and NFS over RDMA are natively integrated in NVIDIA ConnectX-6 NICs to accelerate network access to storage. These technologies help enable PowerScale to ensure data transfer times are minimized, leading to faster storage throughput for AI training, checkpointing and inferencing. This seamless integration of storage and compute allows organizations to maximize the performance of their AI workloads while minimizing latency.

Maximizing Performance with Smart Scale-Out Capabilities

In addition to delivering high-speed data access, Dell PowerScale offers a new Multipath Client Driver that enhances GPU utilization and maximizes performance. This innovative feature ensures organizations can achieve the high-performance thresholds required by the DGX SuperPOD, allowing them to accelerate AI model training and inference with ease.

The Power of Collaboration: Dell with NVIDIA

At Dell, we believe that collaboration is key to driving innovation. By combining the power of NVIDIA accelerated computing with Dell’s class-leading storage infrastructure, organizations can achieve powerful performance and efficiency in their AI initiatives. With PowerScale meeting performance requirements for DGX SuperPOD at every level, you can confidently construct GenAI infrastructure solutions. Dell PowerScale with NVIDIA DGX SuperPOD offers a comprehensive solution that accelerates AI model training, inference and data processing, helping businesses unlock new innovations and drive meaningful impact.

Excel with GenAI Solutions

In today’s fast-paced world, staying ahead of the competition requires harnessing the power of AI. With Dell PowerScale and NVIDIA DGX SuperPOD, organizations can innovate faster, refine GenAI models with enhanced flexibility and security, accelerate data access with high-speed NVIDIA Spectrum Ethernet technology and maximize performance with smart scale-out capabilities. Dell is working with NVIDIA to revolutionize the way businesses approach AI, empowering them to achieve more and unlock new opportunities in the era of GenAI.

Dell PowerScale with NVIDIA DGX SuperPOD marks the latest step toward the bright future of AI. Join us on this exciting journey and revolutionize your AI initiatives today!

Source: dell.com

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Simplifying AI in the Enterprise: The Dell AI Factory with NVIDIA

Today, at the NVIDIA GTC conference, Dell Technologies announced the Dell AI Factory with NVIDIA, the industry’s first end-to-end enterprise artificial intelligence (AI) solution designed to address the complex needs of enterprises seeking to leverage AI technologies.

From improving operational efficiency to driving innovation, AI has the power to transform business operations and outcomes. However, AI implementation within enterprises is a challenging task due to the need for:

• Narrowing down vast possibilities into the most impactful use cases
• Managing, preparing, ensuring security and governance of critical enterprise data
• Providing the uncompromising performance required by AI applications
• Sourcing the technical skills required to integrate point solutions
• Ensuring appropriate and accurate responses

Recognizing this, many enterprises are on the hunt for comprehensive solutions that can simplify the process of deploying AI. The Dell AI Factory with NVIDIA is a pioneering solution that integrates Dell’s leading compute, storage, networking, workstations and laptops, with NVIDIA’s advanced AI infrastructure and NVIDIA Enterprise AI software (which includes the new NIM microservice for optimized inference), all underpinned by NVIDIA’s high-speed Spectrum-X networking fabric.

Delivered as a fully integrated solution, it takes advantage of rack-level design, with rigorous testing and validation to deliver a seamless solution for transforming data into valuable insights and outcomes, specifically designed for enterprise data security and governance standards. As enterprises operate in a world where data is increasingly distributed across multiple locations, the Dell AI Factory with NVIDIA supports deployment options across the entire enterprise landscape. In addition to integrated AI infrastructure for core datacenters, the solution includes support for edge deployments (utilizing Precision AI-ready workstations, NVIDIA AI Workbench and PowerEdge-XR servers) and cloud deployments through our growing cloud service provider ecosystem.

The Dell AI Factory with NVIDIA builds on the collaboration between the two companies for building the most advanced large scale AI system based on Dell PowerEdge XE9680 with the latest  NVIDIA  GPUs, NVIDIA Spectrum-X Ethernet platform and Dell PowerScale F710 storage to optimize the performance and throughput at scale, validate customer use cases and identify optimum configurations.

Built to Support Enterprise AI Use Cases

The Dell AI Factory with NVIDIA supports a wide array of AI use cases and applications. It includes end-to-end validation to support the entire GenAI lifecycle from inferencing and retrieval augmented generation (RAG) to model tuning and model development and training.

Industry-leading Professional Services

Organizations can also take advantage of industry-leading Professional Services to accelerate each organization’s AI transformation at every stage of its AI journey. Customers leverage Dell Services proven framework for getting started with strategy workshops, use case assessments, data preparation, and organizational readiness. Dell and NVIDIA bring technical expertise to assist organizations with their data center design, optimized AI software and data analysis to accelerate proofs of concepts and production implementations. Finally, experts can assist with model tuning, augmentation, data security and scaling AI operations. Employee experience services combined with training and certifications are available to address skill gaps while streamlining adoption of new AI tools and techniques.

Pay-as-you-go Flexibility

Dell AI Factory with NVIDIA solutions are also available through Dell APEX subscriptions, enabling enterprises to rapidly adopt AI solutions, bringing AI to enterprise data without extensive upfront investment. APEX subscriptions allow organizations to only pay for what they use, aligning financial and operational needs as technology evolves.

The Dell AI Factory with NVIDIA is available now, offering enterprises a unique opportunity to harness the power of AI to drive innovation and achieve smarter, higher-value outcomes.

Collaborating on the Next Leap Forward for AI Performance

NVIDIA and Dell are also collaborating to bring a rack-scale, high-density liquid-cooled architecture based on the NVIDIA GB200 Grace Blackwell Superchip for the Dell AI Factory with NVIDIA. These systems will support the next generation of capability for data centers, including distributed, dense power—up to 100KWs per rack—and updated  racks providing the foundation for a step function leap in performance and density for enterprise AI factories.

With the Dell AI Factory, customers can leverage a consistent framework of solutions, software and strategies to create, launch, productize and scale their AI and generative AI workstreams for all their teams globally.

Dell Technologies and NVIDIA are committed to advancing AI technology and making it accessible to a broad range of enterprise use cases. Through this collaboration, businesses can look forward to unlocking new potential use cases and moving the business forward, thereby staying competitive in the rapidly evolving digital landscape.

Source: dell.com

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INNOVATION How Retrieval Augmented Generation is Shaking Up AI

In the dynamic world of artificial intelligence and generative AI (GenAI), retrieval augmented generation (RAG) is emerging as a groundbreaking force. While ChatGPT democratized access to data science results, initially creating or modifying GenAI models was still elusive to all but the largest organizations. RAG is making AI accessible to all, fostering innovation, enabling scalability and providing real-time data access. In this blog post, we’ll explore why RAG is being hailed as the great democratizer in the AI industry and how it holds the potential to revolutionize industries across the spectrum. Welcome to the future of AI, where every organization can control its AI journey by tapping into the power of retrieval augmented generation.

Enabling Greater Access with RAG

Traditionally, generative AI models are limited to their training data. Any modification or fine-tuning requires a data scientist, which can be a very scarce and expensive resource. What makes RAG so powerful is that it acts as a bridge, connecting users to a vast pool of information and providing more accurate and relevant responses. This makes AI technology more effective and easier to use, regardless of one’s technical skills. But what truly sets RAG apart is its adaptability. Users can customize RAG to access and utilize various external data sources, meaning it can be tailored to suit different business needs across diverse industries. This flexibility is a game-changer, bringing valuable AI solutions within reach of businesses large and small. Plus, RAG simplifies the process of fine-tuning AI models, making them less resource-intensive and more user-friendly.

Accelerating Generative AI Innovation

RAG is also revolutionizing the way organizations deploy generative AI, infusing innovation into their operations. In simple terms, RAG is a tool that makes AI smarter and more efficient. It does this by connecting AI systems to an organization’s unique data, which allows these systems to generate responses that are both more accurate and more contextually relevant. This adaptability makes RAG an invaluable asset across various industries, as it can be tailored to fit different business needs and enable generative AI to be used for additional use cases that need that added context. By grounding AI in an organization’s unique expertise, RAG helps overcome hurdles in deploying large language models, thereby facilitating the creation of truly helpful user interfaces.

How RAG Improves Scalability

By making additional data available to the large language models, RAG facilitates enhanced efficiency and scalability without requiring retraining the model. This means businesses can expand their AI deployments more effectively, adjusting as their needs evolve. Additionally, RAG’s ability to draw from various external data sources empowers it to adapt to diverse needs and applications, scaling the model to reach new use cases. From a business perspective, this democratizes AI, making it accessible to organizations of all sizes. It enables them to leverage advanced AI technologies without massive resource allocation, thus leveling the playing field.

Deliver Real-time Capabilities with RAG

Enabling real-time capabilities is critical to applying generative AI to many of today’s business use cases. RAG allows for the swift retrieval and integration of data from various external sources into the generation process, ensuring responses are up-to-date and contextually relevant. This real-time functionality means businesses can leverage AI to deliver immediate insights, make timely decisions and provide instant personalized services, thereby enhancing their competitiveness and customer experience. Furthermore, this capability is allowing inferencing to occur wherever business occurs and greatly reduces the need for vast computational resources and specialized expertise usually required for real-time AI applications. As a result, RAG is making AI more efficient and responsive and easier to access across every area of the business—enabling knowledge workers and edge deployments to benefit from real-time generative AI.

Dell Technologies Supports Organizations on their AI Journeys

In today’s data-driven world, businesses of all sizes can harness the power of RAG to achieve their AI goals while maintaining data sovereignty. At Dell Technologies, we believe by bringing AI to your data, we can help you achieve the best outcomes. With our industry-leading expertise and comprehensive portfolio spanning from desktop to data center and cloud, Dell is the ideal partner to enable this transformative journey. Our services are designed to support you at every step, ensuring a seamless integration of AI into your business operations. Moreover, our open and deep partner ecosystem further enhances our offerings, providing a holistic solution tailored to your specific needs. With Dell as your partner, you can confidently navigate the complexities of AI adoption, leveraging the power of RAG to drive growth, innovation and competitive advantage in your business.

Source: dell.com

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Intel and Dell: Better Air Cooling for Data Centers

With the adoption of AI throughout enterprises, data center performance demands are set to increase significantly. And data centers are also evolving—especially in the geographies where they’re located. For example, with on-premises AI model inferencing, having the data to use where it’s generated, whether at a retail site or factory floor, can provide strong value to the organization. Increasing compute needs in both traditional data centers and unconventional locations brings unique challenges, such as keeping the data center cool and running at optimal temperatures. Adding to these challenges is the need for energy efficiency or sustainability due to rising electricity costs, government regulations or enterprise ESG goals. Innovations from Intel and Dell Technologies enable both high performance and efficient performance to help solve these challenges.

New to 4th Gen Intel Xeon Scalable processors are a full set of built-in accelerators that deliver performance and energy savings. These accelerators, continued in the latest 5th Gen Intel Xeon processors, cover a wide variety of workloads including AI, security and storage and enable up to 10x higher performance/watt.¹ Dell’s Intel-powered PowerEdge servers are offered with a built-in Power Saving BIOS configuration and the Dell Active Power Controller BIOS configuration. These configurations combine the intelligence of Intel’s power-saving features with multiple other server-level optimizations to allow users to experience virtually no impact to compute performance, while saving up to 30% of the energy required for many typical workloads.²

Cooling these high-performance servers is typically done via air cooling. Higher Thermal Design Power (TDP) processors, developed to provide even greater performance, can challenge traditional air cooling. Liquid cooling technology can be a solution, but it is typically deployed in more greenfield settings. To keep existing infrastructure and minimize capital costs, Dell offers solutions that enable greater air-cooling thermal capability.

Dell servers incorporate Smart Cooling technology, which is a holistic approach that considers server cooling as a fundamental aspect of the server design. For example, placing power supplies on either side of the chassis rather than forcing air through smaller passages on one side enhances air flow through PowerEdge servers. Dell cooling specialists have driven fundamental innovations in fans, resulting in an energy efficiency improvement of more than 15% since the twelfth generation Dell PowerEdge servers. Users can realize additional power savings with optimized heat sinks that take full advantage of the more efficient fans. Dell innovations in advanced thermal controls ensure fans are spinning only as fast as required by considering input from an array of thermal sensors throughout the server. This can cut fan power by up to 90% in some applications.³ In addition, Dell offers PowerEdge servers in multiple chassis heights. Just moving from a 1U chassis to a 2U chassis has been shown to save up to 80% of required fan power when maximum configurations are compared.³ Increasing the chassis height may also allow future, higher powered processors to be air-cooled efficiently.

We know liquid cooling at the rack or server level provides the greatest savings in data center cooling energy. But for the many applications where liquid cooling is not possible or practical, there are solutions to extend air-cooled options. Thanks to the innovations of both Intel and Dell Technologies, these air-cooled options can still enable significant energy savings and greater computational efficiency compared with previous server generations.

Source: dell.com

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PowerScale: The Architectural Backbone for GenAI Workloads

Embarking on the journey of generative AI (GenAI), a groundbreaking blend of artificial intelligence and unstructured data, demands a robust storage architecture capable of navigating complexities and scaling alongside innovation. Enter PowerScale. Our trusted, market-leading storage is engineered to streamline IT environments and drive GenAI model delivery with unprecedented speed, simplicity and cost-effectiveness.

PowerScale Architecture Demystified

At the heart of PowerScale is an AI-crafted architecture, powered by OneFS software, designed to manage unstructured data in distributed environments. Let’s dive into the three foundational layers.

Client Access Layer. This pivotal component of the network file system ensures seamless access to unstructured data from a variety of clients and workloads. Boasting high-speed ethernet connectivity and support for multiple protocols such as Network File System (NFS), Server Message Block (SMB) and Hadoop Distributed File System (HDFS), the Client Access Layer simplifies and unifies file access across diverse workloads. It embraces cutting-edge technologies like NVIDIA GPUDirect Storage and Remote Direct Memory Access (RDMA), facilitating direct data transfer between GPU memory and storage devices for GenAI applications. Intelligent load-balancing policies optimize performance and availability, while multi-tenancy controls ensure security and tailored service levels.

OneFS File Presentation Layer. Unifying data access across the cluster, this layer eliminates the hassle of worrying about physical data locations. OneFS seamlessly integrates volume management, data protection and tiering capabilities, simplifying the management of large data volumes across various storage types. Boasting high availability and non-disruptive operations, it enables users to upgrade, expand and migrate effortlessly, ensuring a smart and efficient file system that adapts to diverse needs.

PowerScale Compute and Storage Cluster Layer. Serving as the backbone, this layer delivers nodes and internode networking elements, enabling scalable and highly available file clusters. From small, affordable clusters handling basic capacity and computational tasks, to expansive configurations accommodating petabyte-scale data, PowerScale effortlessly scales and auto-balances clusters without administrative burden. Designed for easy lifecycle management, nodes facilitate upgrades, migrations and tech refreshes without disrupting cluster operations.

These layers form the bedrock of GenAI deployment, empowering high-performance data ingestion, processing and analysis in a flexible and “always-on” manner.

PowerScale’s Core Capabilities

Enhanced by the latest innovations in PowerScale all-flash technology and OneFS software, developers can accelerate the AI lifecycle from data preparation to model inference. Driven by Dell PowerEdge servers, PowerScale delivers enhanced performance, accelerating streaming reads and writes for advanced AI models. These core capabilities, combined with high-performance and high-density nodes, pave the way for intelligent data-driven decisions with unparalleled speed and precision.

GPUDirect for ultra-high performance. Leveraging GPUDirect storage, PowerScale establishes a direct path between GPU memory and storage, slashing latency and boosting bandwidth. Supporting GPUDirect-enabled servers and NFS over RDMA, it enhances throughput and reduces CPU utilization, delivering up to eight times improvement in bandwidth and throughput.

Client driver for high throughput Ethernet support. Enhancing NFS clients’ performance over high-speed Ethernet networks, the optional client driver allows leveraging multiple TCP connections to different PowerScale nodes simultaneously. This distributed architecture achieves higher throughput for I/O operations, improving single NFS mount performance and balancing network traffic to prevent bottlenecks.

Scale-out to scale up and down. Designed for seamless scalability, PowerScale accommodates evolving GenAI needs, from small clusters to multi-petabyte environments. With easy node additions and upgrades, PowerScale ensures consistent and predictable performance, even across different node types and configurations.

Flexibility to support storage tiers. Offering All Flash, Hybrid and Archive nodes, PowerScale caters to diverse storage needs and budgets. Intelligent load-balancing policies optimize resource utilization, while in-line data reduction reduces effective storage costs by eliminating duplicate or redundant data.

Delivering on GenAI Today

In the realm of GenAI, the choice of architecture is paramount. PowerScale emerges as the ultimate solution, accelerating the AI journey and driving better outcomes. With its unparalleled capabilities, including direct GPU communication, high-speed data processing and seamless scalability, PowerScale paves the way for unparalleled innovation for GenAI workflows.

Source: dell.com

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Providing Customers Greater Flexibility with Managed Detection and Response

In today’s rapidly evolving threat landscape, organizations require options to increase threat detection capabilities across their business and IT environment. With more threat vectors and precise targeting by adversaries, customers need continuous monitoring response capabilities to protect their most precious assets. To meet the unique needs of each customer, Dell Services is expanding its management capabilities to include your choice of XDR platforms so you get the one that best fits your IT environment.

Comprehensive Coverage

Dell Managed Detection and Response (MDR) portfolio brings to the table robust managed detection and response capabilities and 360° security operations, ensuring that threats are not only identified but addressed swiftly and efficiently. Our MDR security operations center (SOC) can utilize the CrowdStrike Falcon XDR platform to monitor, detect, investigate and respond to threats across your environment including endpoints, data centers, cloud and edge. This integration covers the full spectrum of threat detection including applying analytics gleaned from threat data across thousands of customers. Our experts assist customers in deploying the Falcon sensors and integrating technologies across their data sources via the supported XDR Third-Party Integrations. When threats arise, our security analysts use XDR capabilities to automate remediation or collaborate with you to address threats uncovered during monitoring. We also take proactive measures to help prevent future attacks.

Advanced Threat Intelligence

One of the standout features of the CrowdStrike Falcon platform, which analyzes and correlates billions of events from across the globe, is real-time threat detection. When managed by our MDR service, businesses benefit from actionable intelligence, proactive threat hunts and expert analysis, allowing them to stay one step ahead of attackers. This combination ensures that defenses are constantly updated and informed by the latest global threat intelligence.

In the event of a threat, our analysts use all available tools and capabilities to address the threat. This gives us context-rich data for full visibility into the threat actor for a quicker, more efficient response, allowing our analysts to respond appropriately, providing a hands-free experience with detailed logs so the customer can see our actions. These real-time response actions by the Dell SOC can be incorporated into playbooks which allows for automated response actions based on customized alert conditions, resulting in seamless security orchestration and decreased response time.

Speed and Efficiency

According to the 2024 CrowdStrike Global Threat Report, cyberattacks are faster, more sophisticated, and stealthier than ever. Dell’s MDR team provides 24/7 monitoring and expert response, and the integration of CrowdStrike’s lightweight agent that uses advanced algorithms and machine learning, threats are neutralized quickly, reducing the risk of significant damage or data loss. If a breach occurs, Dell MDR includes incident response and remediation hours which allows us to collaborate with our customers and bring business operations back online. Using CrowdStrike Falcon Forensics which collects historical data on the endpoint, the Dell Incident Response (IR) team can determine root cause and timeline to address the attack with surgical precision, leading to less interruption to end user productivity.

Simplified Management

Managing cybersecurity can be a complex and resource-intensive task. Organizations are challenged and are constantly in reactive mode as they are forced to do more with less as the cybersecurity skills gap grows. The integrated solution simplifies security management, offering a single, unified platform for threat detection, investigation and response across on premise and cloud domains. With Dell’s expertise in managed services and CrowdStrike’s advanced technology, organizations can alleviate the burden on their internal teams, allowing them to focus on strategic business initiatives and improving overall cybersecurity posture.

Source: dell.com

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Live Optics: A CIO’s Guide to Optimizing Infrastructure Planning Efficiency

In today’s fast-paced business world, efficient infrastructure planning and optimization are imperative for organizations striving to maintain a competitive edge. With today’s core, cloud and edge architectural complexity, a technology inventory and operational performance assessment is beyond human management alone. CIO teams need a repeatable methodology to baseline and benchmark their existing infrastructure performance versus cost, determine over and under-provisioning and gain insights into innovation and growth opportunities.

As companies explore innovative solutions to streamline their IT operations, Live Optics has emerged as a game-changing tool and the de facto standard over the last 20 years. With its robust feature set and user-friendly interface, Live Optics is revolutionizing infrastructure planning efficiency, garnering the trust of the top 100 U.S. companies, and challenging the conventional “go big” or overprovisioning deployment model. With Live Optics, CIOs receive custom proposals for their unique scenario to simplify infrastructure planning, drive “right-sized” buying decisions and make informed decisions to strike a balance between performance and cost over time.

The Three Pillars of Live Optics: Your Blueprint for Success

1. Discover: Delivering Visibility and Clarity

Infrastructure planning hinges on understanding your assets and their utilization. Live Optics provides a repeatable and quantifiable methodology to build a historical baseline, comprehend current demands and model future growth.

Live Optics provides organizations with the visibility and clarity needed to map their entire IT environment, from the core data center to the cloud and the edge. Achieved through an agentless data collector, Live Optics comprehensively catalogs IT infrastructure, helping organizations locate assets, visualize workloads and understand various parameters. It extends beyond vendor-specific ecosystems, offering multi-vendor visibility, including major cloud providers and OEMs.

Extending beyond simple asset discovery, Live Optics offers deep visibility into asset performance and utilization across your entire infrastructure landscape. Whether you analyze your core data center, cloud-based resources or edge devices, Live Optics ensures consistent clarity and assessment repeatability. This invaluable data empowers IT teams to make informed decisions about resource allocation, performance optimization and cost management.

Image of data analysis in the Dell Live Optics user interface.

2. Assess: Gaining Insight and Control

Live Optics enables organizations to analyze their IT environment effectively, identifying under-provisioning, over-provisioning and anomalies in their IT infrastructure. This data-driven approach eliminates guesswork and ensures efficient resource utilization.

Empowering IT professionals to view performance metrics, workload placements and costs, Live Optics offers a deep understanding of customers’ infrastructure. Users can model and compare different options, exporting secure, standardized reports into business intelligence tools for performance versus cost evaluations. These reports form the basis for constructing IT modernization plans and aligning decision-makers and partners with strategic infrastructure plans. With Live Optics Cloud Pricing Calculator, it is straightforward to model existing workload cost performance versus other cloud providers to maximize workload cost-performance placement.

Live Optics promotes teamwork in today’s collaborative IT landscape by allowing cross-functional teams to engage in self-service infrastructure planning cycles. It also facilitates collaboration with trusted partners and vendors, aiding in evaluating IT assessments to develop infrastructure solutions.

Image from the Dell Live Optics Pricing Calculator.

3. Modernize: Ensuring Right-sized Deployments

Ensuring precision in deployments is critical to implementing operational IT changes to ensure right-sized deployments and that resources are allocated where they are most needed, eliminating waste and optimizing performance. Live Optics also identifies opportunities to modernize critical infrastructure assets, providing a competitive advantage in today’s ever-evolving tech landscape.

Organizations leveraging Live Optics can determine whether modernization, migration, repatriation or recalibration of evolving workloads is the best course of action. Qualitative data insights validate workload placement recommendations with stakeholders, ensuring alignment with business goals. Integrating IT assessments with business growth and innovation planning enables targeted IT roadmap development, realistic budget planning and right-size deployments. The assessments ensure IT investments align with broader strategic goals, fostering innovation and growth. Regular check-ins with Live Optics track progress against infrastructure goals, promoting continuous improvement.

A Trusted Solution for Fortune Companies

Over the last fifteen years, Live Optics has emerged as the tool of choice for 99% of Fortune 100 companies seeking to streamline infrastructure planning and optimization. Leveraging Live Optics, these enterprises have experienced a significant reduction in infrastructure planning efficiency from discovery to deployment. Live Optics’ success is rooted in its three pillars: discover, assess and modernize. By harnessing these pillars, organizations eliminate the traditional guesswork and gain key insights, operational control and targeted precision needed to navigate the complex landscape of modern IT environments successfully.

Live Optics continues to innovate and reshape infrastructure planning and optimization. Its three pillars provide organizations with comprehensive insights into their IT assets, performance, and opportunities for improvement. As Live Optics continues to empower leading global companies and CIOs, this repeatable methodology has proven to be a tested and trusted solution, redefining how we approach and streamline infrastructure planning and ensuring businesses remain agile, efficient, and competitive in the digital age.

Source: dell.com

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AI-Driven Patient-Centricity Takes Center Stage at HIMSS24

Are you ready to join us at HIMSS24, the can’t-miss health information and technology event of the year? From March 11 to 15, 2024, Dell Technologies Healthcare and Life Sciences team will be at this year’s event in Orlando, Florida, showcasing how Dell Technologies empowers patient-centric care with AI-driven innovation.

This year’s conference theme is “Creating Tomorrow’s Health,” which couldn’t be timelier. Dell Technologies and Intel are helping customers and partners come together to harness a new era of artificial intelligence to advance human progress.

Empowering Patient-centric Care with AI-driven Innovation

Guided by a patient-centric philosophy, our health information solutions prioritize seamless data accessibility, fostering a comprehensive understanding of individual healthcare and research journeys. This data-anywhere approach transcends physical boundaries, creating a more responsive and connected healthcare ecosystem. Dell Technologies integrated solutions leverage our multicloud strategy, providing tools to elevate patient experiences with robust AI integration. And recognizing the critical nature of healthcare data, our solutions ensure the highest security standards, safeguarding patient information.

Our AI-enabled solutions help reimagine innovation by integrating and testing cutting-edge technologies. We collaborate with our partners, empowering healthcare, and life sciences organizations to unlock insights, enhance diagnostics and optimize efficiency. In life sciences, for example, we partner with leading organizations, that use high-performance computing architectures for agile management of large volumes of genetic patient data extracting actionable insights for life-changing decisions.

Innovation on Display at HIMSS24

We’ll have a range of exciting technical demonstrations in our booth, with a strong emphasis on AI. Highlights include:

• Transform point-of-care ultrasound with rapid training and inference. Learn how we use AI to enhance the quality and speed of ultrasound imaging, enabling faster diagnosis and treatment for patients.
• Simplify healthcare multicloud experiences. Discover how we help you manage your multicloud environment with ease and confidence, ensuring data security, compliance and interoperability across different platforms and applications.
• Animate virtual experiences with digital humans. See how we create realistic and interactive digital humans using AI, opening new possibilities for patient education, engagement and empathy.
• Detect, track, and analyze PHI security in real-time. Find out how we protect your sensitive patient data from cyber threats, using AI to monitor, detect and respond to any anomalies or breaches in real-time.
• Learn about the benefits of on-prem GenAI LLM solutions. Learn how we provide on-premises AI solutions for genomic analysis, leveraging large language models to accelerate the discovery of new insights and therapies from massive amounts of genomic data.
• Leverage AI and analytics-ready workspaces to deliver advanced clinical and research outcomes. Discover how we empower clinicians and researchers with AI and analytics tools that enhance their productivity, collaboration and decision-making.
• Tailor devices, apps and data to healthcare and life sciences worker personas. See how we customize our devices, apps and data to suit the specific needs and preferences of different healthcare and life sciences workers, such as nurses, doctors, researchers and administrators.
• Experience the digital patient room 2.0. Learn how technology can transform the patient room into a smart and connected space, using AI to provide near real-time patient insight and feedback, improving outcomes and satisfaction.
• Modernize the patient experience. Learn how we use AI to enhance the patient journey, from scheduling appointments, to accessing records, to receiving personalized care and support.
• Deliver one-click patient status and event labeling. Find out how we use AI to automate the annotation and documentation of electrocardiogram (ECG) signals, reducing errors and saving time for clinicians.

Source: dell.com

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Dell and Broadcom’s Continued Commitment to VxRail

With Broadcom’s acquisition of VMware now finalized, Dell Technologies and Broadcom want to reaffirm their dedication to their customers, including those of VxRail. VxRail’s innovation, automation, and operational simplicity bring immense value to our global community of over 20,000 customers, with nearly 300,000 nodes deployed worldwide.

It’s crucial to emphasize that Broadcom’s acquisition of VMware does not impact the deployment and support experience of VxRail and VCF on VxRail for which VMware and Dell have been known and remain committed to delivering for their customers.

VxRail is currently the only jointly engineered HCI solution – built with VMware, for VMware customers, to enhance business outcomes. As IT landscapes evolve in multicloud settings, VxRail’s agility, scalability and reliability has become increasingly vital for our shared customers. We’re dedicated to facilitating modernization in dynamic environments. VCF on VxRail offers VMware customers one of the simplest paths to hybrid cloud. VxRail HCI System Software is fully integrated with VMware Cloud Foundation SDDC Manager, VCF on VxRail delivers a turnkey experience that simplifies infrastructure management with seamless control, visibility and enhanced lifecycle management capabilities.

Our product and engineering teams continue to collaborate on delivery and support for our customer base, which drives the ongoing evolution and dedication to excellence in both VxRail and VCF on VxRail. Together, we’re enhancing our capabilities to meet the modern needs of your HCI architecture across VMware environments, spanning from core to edge to cloud.

Our goal is to provide our customers with the technology and support needed to:

• Embrace modern applications at cloud scale: Utilize VMware Cloud Foundation on VxRail for seamless, automated integration and thrive in today’s dynamic digital landscape.
• Optimize the data center: Streamline operations and efficiently manage workloads for traditional vSphere environments with VMware vSphere Foundation on VxRail.

Dell Technologies and Broadcom have a shared commitment to delivering exceptional value. With our joint focus on innovation, automation and operational simplicity, we are dedicated to meeting the evolving needs of our global customer community. We remain committed to driving excellence, providing the technology and support necessary for our customers to thrive in today’s dynamic digital landscape and beyond.

Source: dell.com

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