Nvidia, VMware team on GPU virtualization in the hybrid cloud

August 26, 2019 //By Rich Pell
Nvidia, VMware team on GPU virtualization in the hybrid cloud
Graphics processing unit (GPU) provider Nvidia (Santa Clara, CA) and virtualization software and services company VMware (Palo Alto, CA) have announced an agreement to deliver accelerated GPU services for VMware Cloud on AWS to power next-generation applications, including AI, machine learning, and data analytics workflows.

These services, say the companies, will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics, and video processing applications.

"From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to make fast, accurate predictions that directly impact their bottom line," says Jensen Huang, founder and CEO, NVIDIA. "Together with VMware, we're designing the most advanced GPU infrastructure to foster innovation across the enterprise, from virtualization, to hybrid cloud, to VMware's new Bitfusion data center disaggregation."

Through the partnership, VMware Cloud on AWS customers will gain access to a new, highly scalable and secure cloud service consisting of Amazon EC2 bare metal instances to be accelerated by NVIDIA T4 GPUs and new NVIDIA Virtual Compute Server (vComputeServer) software .

Pat Gelsinger, CEO, VMware says, "Our customers are embracing the unique value of VMware Cloud on AWS to accelerate the migration and modernization of business-critical applications. Through new innovations driven by partnerships we have with industry leaders such as NVIDIA and AWS, we will bring best-in-class GPU acceleration services for the most intense data-driven workloads and modern applications across the hybrid cloud."

Once available, businesses will be able to leverage an enterprise-grade hybrid cloud platform to unify deployment, migration, and operations across a consistent VMware infrastructure from data center to the AWS cloud in support of most compute-intensive workloads, including AI, machine learning, and data analytics. The benefits, say the companies, will include the following:

  • Seamless portability: Customers will be able to move workloads powered by NVIDIA vComputeServer software and GPUs with a single click of a button and no downtime using VMware HCX. This will give customers more choice and flexibility to execute training and inference in the cloud or on-premises.
  • Elastic AWS infrastructure: With the ability to automatically scale VMware Cloud on AWS clusters accelerated by NVIDIA T4, administrators

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