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NVIDIA and Partners Target Artificial Intelligence at GTC - RTInsights

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New products announced at the NVIDIA GTC conference had a common objective: Accelerate AI and extend its use to new application areas including digital twins, simulations, and 3D collaboration. The NVIDIA GTC conference held this past week was a gathering place for everything related to artificial intelligence. Dubbed "The Developer Conference for the Era of AI," NVIDIA and its ecosystem of technology cohorts made numerous product, solutions, and partnering announcements focused on accelerating artificial intelligence workloads and expanding AI into new application areas. To start, NVIDIA announced major updates to its NVIDIA AI platform, a suite of software for workloads including speech, recommender system, hyperscale inference, and more. The technology has been adopted by global industry leaders such as Amazon, Microsoft, and Snap.


Global Availability of NVIDIA AI Enterprise Makes AI Accessible for Every Industry

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NVIDIA today announced the availability of NVIDIA AI Enterprise, a comprehensive software suite of AI tools and frameworks that enables the hundreds of thousands of companies running VMware vSphere to virtualize AI workloads on NVIDIA-Certified Systems . Leading manufacturers Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro are offering NVIDIA-Certified Systems optimized for AI workloads on VMware vSphere with NVIDIA AI Enterprise. Separately, Dell Technologies today announced Dell EMC VxRail as the first hyperconverged platform to be qualified as an NVIDIA-Certified System for NVIDIA AI Enterprise. To help teams of data scientists run their AI workloads most efficiently, Domino Data Lab today announced it is validating its Domino Enterprise MLOps Platform with NVIDIA AI Enterprise, which runs on mainstream NVIDIA-Certified Systems. "The first wave of AI has been powered by specialized infrastructure that focused adoption on industry pioneers," said Manuvir Das, head of Enterprise Computing at NVIDIA.


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.


Nvidia, Digital Realty Team Up on Enterprise AI - SDxCentral

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Colocation giant Digital Realty deepened its ties to Nvidia with a service that allows enterprises to deploy Nvidia-powered artificial intelligence (AI) and machine learning workloads on Digital Realty's data center platform. Nvidia launched its DGX-Ready Data Center program last year with 19 data center partners including Digital Realty. The AI partner program gives customers access to Nvidia's AI infrastructure inside the colocation providers' facilities. Meanwhile, Digital Realty in November announced PlatformDigital. At launch the data center platform offered customers four new services that they could deploy on top of PlatformDigital.


Lenovo, Nvidia partnership bridges HPC and enterprise AI with switches for optimized networking - SiliconANGLE

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Artificial intelligence is fast becoming a part of the everyday enterprise workflow, but the computing infrastructure to support such a data-intense task must modernize. As businesses transform to better leverage data intelligence and become more agile through cloud-native processes, high-performance networking becomes priority. But investing in the InfiniBand standard for high-performance computing network switches has been a hard sell for information-technology departments with an existing Ethernet fabric in place. Enabling enterprise to catch the fast train to intelligent business operations are long-time partners Nvidia Corp. and Lenovo Group Ltd. "We love, from an HPC perspective, to use InfiniBand," said Scott Tease (pictured, right), general manager of HPC and AI at Lenovo. "But most enterprise clients are using Ethernet. We go to a partner that we've trusted for a very long time. And we selected the Nvidia Mellanox Ethernet switch family."