Posted by San Francisco, USA: NVIDIA and VMware have announced their intent to deliver accelerated GPU services for VMware Cloud on AWS.
It will power modern enterprise applications, including AI, machine learning and data analytics workflows.
These services 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.
Across industries, enterprises are implementing machine learning applications such as image and voice recognition, advanced financial modeling and natural language processing using neural networks that rely on NVIDIA GPUs for faster training and real-time inference.
Additionally, VMware recently acquired Bitfusion, which enables VMware to make GPU capabilities efficiently available for AI and machine learning workloads in the enterprise.
Through this 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.
“From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to make fast, accurate predictions that directly impact their bottom line,” said 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,” added Huang.
“Our customers are embracing the unique value of VMware Cloud on AWS to accelerate the migration and modernization of business-critical applications,” said Pat Gelsinger, CEO, VMware.
“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,” added