AI-ready infrastructure at the centre of VMware’s updates

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Bengaluru: VMware’s new releases of vSphere 7 and vSAN 7 focus on the developer and AI-ready infrastructure. VMware’s new updates will help IT teams support new and existing applications with infrastructure that is developer and AI-ready. But also scalable, secure data and simplifies operations.

“Infrastructure owners are racing to support exciting new containerized applications. Such as advanced AI workloads, without compromising security,” said Lee Caswell, VP – Marketing, Cloud Platform Business Unit, VMware.

Interestingly, NVIDIA has exclusively certified VMware vSphere 7 release for its AI enterprise software suite. The NVIDIA suite is a cloud-native collection of optimized AI applications and frameworks. This will offer an end-to-end AI solution.

VMware and NVIDIA had announced a partnership last year to put joint efforts into delivering an AI-ready enterprise platform. The new updated vSphere 7 is in that direction.

vSphere 7 update 2 introduces support for the NVIDIA A100 Tensor Core GPUs in NVIDIA-Certified Systems. This, with NVIDIA AI enterprise, enables customers to fold-in an end-to-end AI solution on their existing enterprise virtualization platform. And not running AI projects in separate unmanageable IT silos.

Further, it allows customers to incorporate NVIDIA GPUs into their virtual environment and take Multi-Instance GPU (MIG). This allows GPU cycles to be shared across multiple users. Here, vSphere vMotion will provide live migration for non-disruptive operations. And vSphere Distributed Resource Scheduler (DRS) for automatic initial workload placement to avoid performance bottlenecks.

And from the real-world scenario, the AI-ready enterprise platform combines VMware vSphere and NVIDIA enterprise suite. “VMware is helping vSphere admins expand their influence beyond traditional virtualized applications to new enterprise AI environments via our partnership with NVIDIA,” added Caswell.

“This will allow high-capacity HCI use cases with HCI Mesh from vSAN, security-sensitive containerized workloads that can benefit from the SEV-ES security feature in AMD EPYC processors. These new capabilities allow infrastructure to seamlessly meet the rapid pace of application change,” explained Caswell.

“NVIDIA AI enterprise is a software suite optimized, certified and supported on VMware vSphere. It enables customers to rapidly deploy, manage and scale AI in production,” said Justin Boitano, VP and GM – Enterprise and Edge Computing, NVIDIA.

“Through NVIDIA’s collaboration with VMware, IT professionals can now support business teams with the industry’s most trusted AI tools across their hybrid cloud infrastructure,” added Boitano.

VMware introduced vSphere with Tanzu to deliver Kubernetes last September to millions of IT admins across the globe. Today’s update delivers a faster, more scalable and secure application experience by including VMware NSX Advanced Load Balancer Essentials as part of vSphere with Tanzu.

This provides customers with VMware supported L4 load balancing for Kubernetes clusters with Kubernetes native automation. And a seamless upgrade path to the full capabilities of the NSX Advanced Load Balancer Enterprise Edition.

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