Simplify AI Infrastructure and Operations with NVIDIA and VxRail

VMware, NVIDIA, and Dell Technologies have joined together to provide a curated, simplified AI experience to deliver an accelerated data center.

Today, many organizations and their IT leaders want to lean into Artificial Intelligence (AI) to realize greater business insights and gain a competitive edge. From healthcare to retail to cybersecurity, AI is transforming many aspects of business and everyday life. However, for many companies, the complexity of integrating AI solutions with infrastructure is a key barrier to implementation.

According to a recent study by Gartner, 30% of respondents said this complexity was a key cause for concern¹ and “the reality is that most organizations struggle to scale the AI pilots into enterprise wide production, which limits the ability to realize AI’s potential business value.” Dell Technologies and NVIDIA have worked together to provide a curated, simplified experience, making it easier to deploy, scale and manage AI infrastructure and workloads to deliver on the business advantages of AI.

Today, Dell Technologies is announcing the certification of Dell VxRail for the newly available NVIDIA AI Enterprise software suite. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems™. It includes key enabling technologies from NVIDIA for rapid deployment, management and scaling of AI workloads in the modern hybrid cloud.

It’s not surprising that VxRail is the first HCI system to achieve certification with NVIDIA. As the only HCI system jointly engineered with VMware to enhance VMware, VxRail delivers a fully curated HCI platform with end to end automation including single click, full stack lifecycle management (LCM). The VxRail certified systems have been tested specifically with NVIDIA AI Enterprise workloads taking the guess work out of which VxRail and NVIDIA GPU configurations are optimized for their AI workloads.

Simplifying the AI Experience

While VxRail and NVIDIA GPUs deliver the performance needed for AI workloads, the big story here is how we have worked together to simplify the entire experience, from procurement to deployment, to day to day operations and lifecycle management. VxRail HCI System Software delivers end-to-end automation and LCM, and native integration with existing VMware management tools helps reduce the complexity of adopting NVIDIA AI Enterprise in VMware environments. Customers adopting NVIDIA AI Enterprise can seamlessly manage their infrastructure and application from a single console so that AI resources can be managed more efficiently and effectively, saving time and money.

What helps set VxRail apart is our relentless focus on software innovation. Continuous enhancements to VxRail HCI System Software gives customers greater control over AI installations. Customers can validate, orchestrate and automate cluster deployment on their own timeline, ideal for enterprises with remote or distributed AI environments. 

Accelerating AI Apps

High performance and flexible scaling are critical to AI, machine learning and data analytics workloads. Data Engineers need to crunch through vast amounts of data quickly. Data scientists need to develop and train their models quickly for fast time-to-deployment.

In June, Dell Technologies announced that the VxRail V Series now offers A100 Tensor Core GPU options. When combined with NVIDIA AI Enterprise and NVMe caching capabilities, these configurations offer greater performance and simpler deployment for demanding AI and machine learning applications. The NVIDIA A100 delivers world-class AI performance with up to 20 times the performance of the previous generation GPU while NVAIE is optimized for performance and can run AI workloads at near bare metal speeds with new optimizations for GPU acceleration on vSphere.

Customers also have the option to support larger and more complex AI training and data analytics that may need more boosted scale-out performance with the recently announced VxRail dynamic nodes that  take advantage of VMware HCI Mesh to share vSAN storage pools while flexibly growing compute-only resources.

Deploying with Confidence

The rapid pace of AI innovation makes designing and implementing an effective AI infrastructure challenging. Dell Technologies and NVIDIA eliminate the guesswork so you can design and deploy faster using VxRail configurations (V570, V570F and V670F) that are specifically and rigorously tested with NVIDIA AI Enterprise to deliver the best solution for particular AI use cases.

In addition, customers can deploy with confidence knowing that that your mission-critical AI projects will stay on track with world class support from NVIDIA and Dell Technologies experts.

With NVIDIA and Dell Technologies, you can now take AI where you never thought before.

For more information visit the VxRail website or register for our webinar on September 1 where you can hear directly from experts. The session will also be available for on-demand viewing.

1 Gartner: Understanding MLOps to Operationalize Machine Learning Projects, April 26, 2021

About the Author: Nancy Hurley

Nancy Hurley, is a highly accomplished marketing executive with over 25 years’ experience in strategic planning and implementation, product marketing, product management, messaging and branding and go to market execution. Nancy's team supports the Dell Technologies HCI portfolio, Connectivity solutions, DevOps enablement offerings and the new APEX Cloud Platform portfolio.