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insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. This guide (i) provides an overview of the Fusion Computing Model; (ii) describes how Seagate Technology PLC (Seagate) and Intel Corporation technologies can meet fusion […]

MLCommons Launches MLPerf Tiny AI Inference Benchmark

Today, open engineering consortium MLCommons released a new benchmark, MLPerf Tiny Inference to measure trained neural network AI inference performance for low-power devices in small form factors. MLPerf Tiny v0.5 is MLCommons’s first inference benchmark suite for embedded device machine learning, a growing field in which AI-driven sensor data analytics is performed in real-time, close […]

Graphcore and SiPearl Form Euro Partnership to Combine AI and HPC

Graphcore, the British maker of the Intelligence Processing Unit (IPU) for artificial intelligence workloads, and SiPearl, the Franco-German company building an HPC chip, have entered into a strategic partnership intended to enable innovation in simulation and prediction for use cases such as meteorology, climatology, epidemiology and energy management. Under the terms of the agreement, the […]

Los Alamos in R&D Pact with Quantum Computing Inc. for Exascale and Petascale Simulations

Quantum Computing Inc., a Leesburg, VA-based company focused on bridging classical and quantum computing, today announced a three-year cooperative research and development agreement with Los Alamos National Laboratory. QCI will collaborate with Los Alamos scientists through its administrator, Triad National Security, LLC, on a key component of large-scale simulations that are critical for a range […]

How DOE Scientists Disrupted COVID-19

In early 2020, when the novel coronavirus was gaining momentum but had not yet been named a pandemic, computational chemist Marti Head of Oak Ridge National Laboratory – along with scientists and researchers around the globe – abruptly switched her focus to the fight against COVID-19. The world was struggling to understand this new virus known as severe acute […]

US Launches National AI Research Resource Task Force

June 10, 2021 — The U.S. National Science Foundation and the White House Office of Science and Technology Policy today announced the formation of the National Artificial Intelligence Research Resource Task Force. As directed by Congress in the “National AI Initiative Act of 2020,” the task force will serve as a federal advisory committee, developing […]

IBM Releases AI Toolkit for Deep Learning Uncertainties

Deep learning is smart — show off smart. It loves connecting dots no one else can see and being the smartest one in the room. But that’s when deep learning can go wrong – when it thinks it knows everything. What deep learning needs is a touch of humility, to not just be smart but […]

GIGABYTE Offers More NVIDIA-Certified GPU Servers

June 3, 2021 – GIGABYTE Technology, (TWSE: 2376), a maker of high-performance servers and workstations, today announced additional GIGABYTE servers that have been added to the growing list of NVIDIA-Certified Systems. This program validates the best configuration of servers that use hardware such as NVIDIA Ampere architecture-based GPUs and NVIDIA SmartNICs, including the newly added […]

Icelandic AI Company Miðeind Leverages atNorth’s HPC & AI Cluster-as-a-Service for NLP

Reykjavik, Iceland June 2, 2021 – atNorth, formerly known as Advania Data Centers, has delivered an AI and deep learning system to Icelandic start-up Miðeind. The Supercomputer – built on HPE servers and powered by the latest generation of nVidia Graphic Processor Units (A100) – is hosted in atNorth’s Mjölnir Colocation Data Center facilities in […]

How to Integrate GPUs into your Business Analytics Ecosystem

This whitepaper, “How to Integrate GPUs into your Business Analytics Ecosystem,” discusses how GPU technology can augment data analytics performance, enabling data warehouses and other solutions to better respond to new, yet common, database limitations that are the result of increasing data set sizes, increasing user concurrency and demand, and increased use of interactive analytics.