Don’t let 2021 slip by without looking at how VMware and NVIDIA have simplified the prospect of bringing ground-breaking AI applications to your private cloud.
The results of our work this year are impressive:
- VMware vSphere 7 Update 2 is now performance-optimized for AI.?It also supports shared?NVIDIA Multi-Instance GPU technology?on virtualized infrastructure with bare-metal performance.
- The recent vSphere 7 Update 3a with Tanzu?enables containerized workloads to leverage GPU acceleration in Tanzu Kubernetes Grid cluster and adds?Kubernetes support?for policy-based deployment and management of containerized NVIDIA NGC libraries.
- The?NVIDIA?AI?Enterprise?software suite added support for virtualization,?exclusively optimized for vSphere users, with AI developer frameworks and tools backed by NVIDIA support. NVIDIA AI Enterprise also includes access to the latest versions of the?NVIDIA Triton inference server?and?NVIDIA TensorRT SDK?for high-performance deep learning inference, which were announced today.
NVIDIA LaunchPad now gives easy access to these innovations.
- As announced at NVIDIA GTC, LaunchPad offers a set of curated data science and AI labs, including NVIDIA AI Enterprise software running on VMware vSphere. LaunchPad is available across nine Equinix colocation sites, where users can take advantage of dedicated, secure, temporary testing resources at no charge.
- Within these labs, teams can learn how to train a model using TensorFlow, perform sentiment analysis with NVIDIA RAPIDS, or deploy an AI support chatbot — all within the familiar resilient vSphere enterprise infrastructure environment that runs non-AI applications.
Use LaunchPad to Accelerate Your AI Deployment in 2022
- AI creates a competitive advantage for a data-driven economy, and VMware and NVIDIA’s AI-Ready Enterprise Platform, a combination of VMware vSphere with the NVIDIA AI Enterprise software suite, is a game-changer. To get started with LaunchPad curated labs and try AI projects like deploying a customer service chatbot at no cost or risk, go to?https://blogs.nvidia.com/blog/2021/11/09/launchpad-global-expansion/
Don't miss this! AI into the enterprise is now a reality
A great partnership with NVIDIA here - and the performance of AI/ML apps is shown in both companies' tests to be very close to, if not equal to, in many cases, that of a native deployment. You can take your AI/ML workloads into your mainstream data center with all the management benefits of vSphere.
Product Marketing Executive
3 年Killer use case for AI. There are great GTC Sessions featuring VMware and Nvidia that drill down into this solution.
NVIDIA designed and fully supports their AI software to run on vSphere... "The NVIDIA AI Enterprise software suite added support for virtualization, exclusively optimized for vSphere users, with AI developer frameworks and tools backed by NVIDIA support."
SVP Product and Solutions Marketing at Nutanix
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