In this video, Mike Adams, VMware’s Senior Director CPBU, AI/ML Market Development, talks with us about a new, integrated VMware vSphere 7 feature enabling “elastic infrastructure” on-demand for AI and machine learning. VMware vSphere Bitfusion is a result of VMware’s 2019 acquisition of Bitfusion, developer of virtualized hardware accelerators, including GPUs, used to improve performance of AI/ML workloads.
Industry Perspectives
New, Open DPC++ Extensions Complement SYCL and C++
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
White Papers
Deep Learning GPU Cluster
In this whitepaper, our friends over at Lambda walk you through the Lambda Echelon multi-node cluster reference design: a node design, a rack design, and an entire cluster level architecture. This document is for technical decision-makers and engineers. You’ll learn about the Echelon’s compute, storage, networking, power distribution, and thermal design. This is not a cluster administration handbook, this is a high level technical overview of one possible system architecture.
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