NVIDIA and VMware accelerates ML, Data Science and AI workloads

NVIDIA and VMware have announced their intent to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows.

Pat Gelsinger, CEO, VMware

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.

Increasingly businesses are applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings. Enterprises are rapidly adopting AI and implementing new AI strategies that require powerful computers to create predictive models from petabytes of corporate data. 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 efficiently make GPU capabilities 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.”

“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.”

Once these services become available, businesses will be able to leverage an enterprise-grade hybrid cloud platform to accelerate application modernization. They will be able 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. Benefits will include seamless portability, elastic AWS infrastructure, accelerated computing for modern applications, consistent hybrid cloud infrastructure and operations, as well as seamless, end-to-end data science and analytics pipeline.

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