[SPONSORED GUEST ARTICLE] Across industries cloud-based high performance computing (HPC) is on the rise. Find out from AWS and NVIDIA how GPU-accelerated compute is helping organizations run more HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
Overcome Form Factor and Field Limitations with AI/HPC Workloads on the Edge
July 11, 2022 by
In this sponsored post, our friends over at Silicon Mechanics discuss how form factor, latency, and power can all be key limitations, but find out how key advancements in technology will allow higher performance at the edge. For this discussion, the edge means any compute workloads taking place outside of both cloud and traditional on-prem data centers.
Video: VMware Talks GPU Virtualization, Sharing for AI/ML
July 21, 2020 by
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.
