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Accelerating the Modern Data Center – Gear Up for AI

Modern applications are transforming every business. From AI for better customer engagement, to data analytics for forecasting, to advanced visualization for product innovation, the need for accelerated computing is rapidly increasing. But enterprises face challenges with using existing infrastructure to power these applications.

Improving AI Inference Performance with GPU Acceleration in Aerospace and Defense

The aerospace/defense industry often must solve mission-critical problems as they arise while also planning and designing for the rigors of future workloads. Technology advancements let aerospace/defense agencies gain the benefits of AI, but it’s essential to understand these advancements and the infrastructure requirements for AI training and inference.

Photonics Company Lightmatter Names Google TPU Engineer Richard Ho VP of Hardware Engineering

BOSTON — Photonics company Lightmatter has named Richard Ho its new Vice President of Hardware Engineering. Ho spent nearly nine years at Google leading the Cloud Tensor Processing Units (TPU) project. At Lightmatter, Ho will spearhead Lightmatter’s chip engineering division with focus on developing and deploying Lightmatter’s photonic AI accelerator and wafer-scale interconnect, designed for […]

Overcome Form Factor and Field Limitations with AI/HPC Workloads on the Edge

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.

HPE and Cerebras to Install AI Supercomputer at Leibniz Supercomputing Centre

The Leibniz Supercomputing Centre (LRZ), Cerebras Systems, and Hewlett Packard Enterprise (HPE), today announced the joint development of a system designed to accelerate scientific research and innovation in AI at Leibniz Supercomputing Centre (LRZ), an institute of the Bavarian Academy of Sciences and Humanities (BAdW). The system is purpose-built for scientific research and is comprised […]

GIGABYTE Releases Arm-Based Server for NVIDIA Baseboard Accelerators for HPC, AI

May 19, 2022 – GIGABYTE Technology, (TWSE: 2376), maker of high-performance servers and workstations, today announced a scalable server, G492-PD0, that supports dual Ampere Altra Max or Altra processors with NVIDIA HGX A100 Tensor Core GPUs for cloud infrastructure, HPC, AI and other high performance environments. “Leveraging Ampere’s Altra Max CPU with a high core […]

PSC’s Neocortex HPC Upgrades to Cerebras CS-2 AI Systems

The Neocortex high-performance AI computer at the Pittsburgh Supercomputing Center (PSC) has been upgraded with two new Cerebras CS-2 systems powered by the second-generation wafer-scale engine (WSE-2) processor. PSC said the WSE-2 doubles the system’s cores and on-chip memory as well as offering a new execution mode designed for extreme-scale deep-learning tasks, including larger model […]

Supermicro Announces Universal GPU System – Supports CPU, GPU and Fabric Architectures

San Jose – Super Micro Computer, Inc. (SMCI), an enterprise computing, storage, networking solutions and green computing technology company, has announced a revolutionary technology that simplifies large scale GPU deployments and is a future proof design that supports yet to be announced technologies. The Universal GPU server provides the ultimate flexibility in a resource-saving server. […]

BullSequana XH3000, Delivering the Full Exascale Solution

In this sponsored post, Jean-Pierre Panziera – High Performance Computing CTO, Atos, discusses how the BullSequana XH3000 which supports a large spectrum of hardware technologies and feature a rich software environment will be the platform of choice to meet the Exascale challenges. The BullSequana XH3000 open architecture will lead Atos, its technology partners, and their users well into the post-Exascale era.

High Performance Computing for R&D

[SPONSORED POST] In this eBook, “High Performance Computing for R&D,” sponsored by Rescale, Microsoft Azure and AMD, we take a look at HPC deployments in support of R&D efforts. In many ways, the HPC solution in the cloud offered by Rescale on Azure delivers an unprecedented amount of power while solving for many crucial and common challenges faced by R&D and design teams across many industries.