NVIDIA Collabs With VMware To Develop AI Ready Enterprise Platform

NVIDIA has teamed up with VMware to create an AI-ready Enterprise platform. The vendors have collaborated to virtualize the AI workloads on VMware vSphere with the help of NVIDIA AI Enterprise. This would provide enterprises with the necessary software that can help in developing a wide range of AI-based solutions. For example, this may help in creating AI solutions for fraud detection in financial services, smart factories for manufacturing, and advanced diagnostics in healthcare.

IT professionals that use vSphere for compute virtualization can now work on AI with similar tools that are used to counter large-scale data centers and hybrid cloud environments. It is only possible because of the NVIDIA AI Enterprise software suite. In addition to all that, NVIDIA software suite also offers features like multi-node, scale-out, AI application performance on vSphere – which works in the same way as bare metal servers.

NVIDIA vice president and general manager of enterprise and edge computing, Justin Boitano, said that NVIDIA AI Enterprise allows customers to finish the task of developing an AI model in just 8 days instead of 80 days. The efficiency can be seen going up to 10 times that is amazing and unique at the same point of time. The NVIDIA AI Enterprise would also help in deploying and managing advanced AI applications on VMware vSphere with an “unmatchable” computing speed.

Vice President of Marketing for VMware’s cloud platform business unit, Lee Caswell, said that with the help of NVIDIA AI Enterprise and vSphere 7 update 2, the customers of VMware can now fast-track AI in virtualized data centers and deploy AI-ready infrastructure for their recent applications “without any hassle.”

NVIDIA A100 Tensor Core GPUs

Photo Justin Boitano, NVIDIA vice president and general manager of enterprise and edge computing
NVIDIA vice president and general manager of enterprise and edge computing, Justin Boitano, said that NVIDIA AI Enterprise allows customers to finish the task of developing an AI model in just 8 days instead of 80 days.

NVIDIA AI Enterprise extends its compatibility towards various pre-trained models and software development kits, CUDA applications and, AI frameworks that are running on the hybrid cloud. Optimization at regular intervals would help in dividing the workloads via multiple nodes to support deep learning training models with complete GPU virtualization.

VMware vSphere 7 Update 2 and the NVIDIA AI Enterprise is now certified for NVIDIA A100 Tensor Core GPUs on NVIDIA certified systems that consist of high-volume servers from popular organizations like HPE, Dell Technologies, Supermicro, and Lenovo. vSphere customers who have a license of NVIDIA AI Enterprise will get direct customer support from NVIDIA.

In addition to the above-mentioned information, NVIDIA has also classified vSphere as the only compute virtualization software that can provide hypervisor support for purposes like live migration with NVIDIA Multi-instance GPU technology. On top of that, NVIDIA ConnectX adapters are now certified for RDMA (Random Direct Memory Access) and vSAN.

NVIDIA has significantly contributed to the development of artificial intelligence (AI) and high-performance computing (HPC). NVIDIA GPUs have been ruling the PC gaming market since 1999. The company for example has played a major role in the growth of PC gaming market and developing the current scenario of the latest computer graphics.

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