Source – https://www.hpcwire.com/ NF5488LA5, boasting high-efficiency liquid-cooling, ranks No.1 in 11 of the 16 tests in the closed data center division of the 2021 MLPerf™ Inference v1.0 Benchmark. SAN JOSE, Calif. – June 28, 2021 – Today at ISC High Performance 2021 Digital, the event for high performance computing, machine learning, and data analytics, Inspur Information, Read More
Tag: GPU
Source – https://aithority.com/ Cirrascale Cloud Services, a premier cloud services provider of deep learning infrastructure solutions for autonomous vehicles, natural language processing, and computer vision workflows, announced its dedicated, multi-GPU deep learning cloud servers support the NVIDIA A100 80GB and A30 Tensor Core GPUs. With record-setting performance across every category on the latest release of MLPerf, Read More
Source – https://www.arnnet.com.au/ WebGPU API for GPU rendering and computation is supported in the latest upgrade to the JavaScript/TypeScript runtime. Deno 1.8, released on March 2, offers preliminary support for an API to bring enhanced machine learning to the secure JavaScript/TypeScript runtime. Experimental backing for the WebGPU API, for performing operations such as rendering and computation on Read More
Source – https://www.infoworld.com/ WebGPU API for GPU rendering and computation is supported in the latest upgrade to the JavaScript/TypeScript runtime. Deno 1.8, released on March 2, offers preliminary support for an API to bring enhanced machine learning to the secure JavaScript/TypeScript runtime. Experimental backing for the WebGPU API, for performing operations such as rendering and computation on Read More
Source: datacentrenews.eu Super Micro Computer has announced two new systems designed for artificial intelligence (AI) deep learning applications that leverage the third-generation NVIDIA HGX technology with the new NVIDIA A100 Tensor Core GPUs as well as full support for the new NVIDIA A100 GPUs across the company’s broad portfolio of 1U, 2U, 4U and 10U Read More
Source: virtualizationreview.com Israel-based Run:AI, specializing in virtualizing artificial intelligence (AI) infrastructure, claimed an industry first in announcing a fractional GPU sharing system for deep learning workloads on Kubernetes. The company offers a namesake Run:AI platform built on top of Kubernetes to virtualize AI infrastructure in order to improve on the typical bare-metal approach that statically provisions AI Read More