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Nvidia and VMware team up to help enterprises scale up AI development

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Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprise software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


Nvidia and VMware team up to help enterprises scale up AI development

ZDNet

Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprises software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


Announcing: vSphere 7 Update 2 Release - VMware vSphere Blog

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We are excited to share that today VMware has released vSphere 7 Update 2. It is available to download right away, both through VMware Customer Connect and from within vSphere Lifecycle Manager itself. With vSphere 7, released in April 2020, we moved vSphere to a six-month release cycle. We released vSphere 7 Update 1 in October 2020, and vSphere 7 Update 2 today. With this faster pace, you get the benefits of the latest capabilities and innovation from VMware as well as from the VMware partner and OEM ecosystem much more quickly, to meet your business needs and be future-ready. The vSphere 7 Update 2 release sure packs a big punch!


NVIDIA vComputeServer Brings GPU Virtualization to AI, Deep Learning, Data Science NVIDIA Blog

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NVIDIA's virtual GPU (vGPU) technology, which has already transformed virtual client computing, now supports server virtualization for AI, deep learning and data science. Previously limited to CPU-only, AI workloads can now be easily deployed on virtualized environments like VMware vSphere with new vComputeServer software and NVIDIA NGC. Through our partnership with VMware, this architecture will help organizations to seamlessly migrate AI workloads on GPUs between customer data centers and VMware Cloud on AWS. IT administrators can use hypervisor virtualization tools like VMware vSphere, including vCenter and vMotion, to manage all their data center applications, including AI applications running on NVIDIA GPUs. These GPU servers are often isolated, with the need to be managed separately.


VMware's vSphere software now certified to run Nvidia AI workloads

ZDNet

VMware on Tuesday announced updates to its server virtualization software vSphere, including the latest progress in its partnership with Nvidia aimed at accelerating AI adoption. The company also announced updates to its storage virtualization portfolio vSAN 7 and said that both of the new releases will support enterprises with developer- and AI-ready infrastructure. On the server virtualization front, VMware announced that Nvidia AI workloads are certified to run on vSphere 7. The new Nvidia software suite, officially named Nvidia AI Enterprise, aims to give enterprises the ability to develop AI software for a range of applications such as advanced diagnostics in healthcare, smart factories for manufacturing, and fraud detection in financial services. According to VMware and Nvidia, the software suite provides multi-node, AI application performance on vSphere that is indistinguishable from bare-metal servers. Currently, vSphere 7 is the only virtualization platform certified to support the Nvidia AI software suite.