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AWS Announces GA of EC2 Trn1 Instances for ML Model Training 

SEATTLE — Oct. 10, 2022 — Amazon Web Services today announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS-designed Trainium chips. Trn1 instances are built for high-performance training of machine learning models in the cloud. AWS said the offering saves up to 50 percent cost-to-train savings over comparable […]

UAE’s Mohamed bin Zayed University of AI to Acquire NVIDIA-AMD-driven HPC System from HPE

October 11, 2022 — DUBAI, United Arab Emirates — Hewlett Packard Enterprise (NYSE: HPE) today announced it is building a supercomputer for Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), which is dedicated to AI, designed to accelerate scientific discovery. The goal is to enable the university to run complex AI models with large data […]

The Metaverse and the AI-Driven Compute Resources That Will Make It Happen

By Liu Jun, Vice President, Inspur Information and General Manager of AI and HPC Truly understanding the metaverse requires some imagination. The digital world makes so many things possible – from exact digital copies and simulations of real-world environments to digital worlds based on far ranging and inventive creativity. Tech titans like NVIDIA and Meta […]

Supercharging Modern Data Centers with NVIDIA Networking Solutions

In this webinar sponsored by PNY Technologies, you will learn the benefits, functionalities, and key features of Accelerated Ethernet technology by NVIDIA Spectrum and how it delivers end-to-end innovations and synergies to optimize modern applications from core to cloud to edge.

@HPCpodcast: Industry Analyst Steve Conway Ranges Across the Global HPC Scene

In this episode of @HPCpodcast, Shahin and Doug caught up with Steve Conway, former senior advisor at Hyperion Research and now head of his own consulting firm, Conway Communications. A well-known HPC executive and analyst who was formerly with IDC and Cray, Conway engages us in a wide ranging discussion – we start with edge HPC and trends towards massively-distributed, massively-heterogeneous computing, which takes us to the convergence of HPC and AI, mixed precision spectrum, the importance of simulation, the impact of exascale on general computing, the “indigenous technology” trend that has taken root in the U.S., China and Europe and it’s impact on scientific collaboration, U.S.-China funding model differences, and the necessary ingredients for attracting top talent.

How the HPC-AI Rocky Linux Server Operating System Rose from the CentOS Ashes

[SPONSORED CONTENT]  CentOS disappeared in the dead of winter. On December 8, 2020, the day with the earliest sunset of the year in northern latitudes, Red Hat announced it would no longer support the Linux server operating system, and for many CentOS users “what instruments we have agree the day of (its) death was a dark cold day.” If you were an advocate of CentOS Linux, you knew all about it. You knew its traits, its ways, its bugs, its quirks. You knew its personality. You knew how to tease the best out of it, and how to avoid….

MIT AI Policy Forum Virtual Summit Sept. 28 to Explore Challenges Surrounding AI Deployment 

Cambridge, MA — Sept. 22, 2022 — On Wednesday, Sept. 28 from 9 am to 5 pm Eastern Time, the MIT AI Policy Forum will host a free, virtual summit convening leading voices from government, business, and academia to explore the global policy challenges surrounding the implementation of AI technologies. The summit will feature a live […]

Supermicro Announces 8U ‘Universal GPU’ Server for NVIDIA H100’s 

HPC-AI server maker Supermicro today announced what the company said is its most advanced GPU server incorporating eight NVIDIA H100 Tensor Core GPUs. Supermicro now offers three Universal GPU servers: the 4U, 5U and the new 8U. The Universal GPU platforms also support Intel and AMD CPUs up to 400W, 350W and higher, according to […]

How Aerospace/Defense Can Harness Data with a Well-Designed AI Infrastructure

In this sponsored post, our friends over at Silicon Mechanics discuss how solving mission-critical problems using AI in the aerospace and defense industry is becoming more of a reality. Every day, new technologies emerge that can simplify deployment, management, and scaling of AI infrastructure to ensure long-term ROI. There are several questions to ask yourself to ensure deploying AI workloads, and harnessing the full potential of data, in aerospace/defense is much more plausible and efficient.

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.