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UF’s HiPerGator AI Supercomputer Chomps Down on Cattle Science
The average American consumes over 58 pounds of beef and 141 pounds of milk per year, but cattle farming is a deeply resource-intensive process with significant impacts on land use and carbon emi …
IBM Introduces its First Power10-based Server, the Power E1080; Targets Hybrid Cloud
IBM today introduced the Power E1080 server, its first system powered by a Power10 IBM microprocessor. The new system reinforces IBM’s emphasis on hybrid cloud markets and the new chip beefs up …
HPE Wins $2B GreenLake HPC-as-a-Service Deal with NSA
September 1, 2021
In the heated, oft-contentious, government IT space, HPE has won a massive $2 billion contract to provide HPC and AI services to the United States’ National Security Agency (NSA). Following on the heels of the now-canceled $10 billion JEDI contract (reissued as JWCC) and a $10 billion... Read more…
Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip
August 27, 2021
Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…
Argonne’s 44-Petaflops ‘Polaris’ Supercomputer Will Be Testbed for Aurora, Exascale Era
August 25, 2021
A new 44-petaflops (theoretical peak) supercomputer is under construction at the Department of Energy’s Argonne National Laboratory. Called Polaris, this new Read more…
Wafer Scale to ‘Brain-Scale’ – Cerebras Touts Linear Scaling up to 192 CS-2 Systems
August 24, 2021
At the Hot Chips conference today, held as a virtual event, wafer-scale computing company Cerebras Systems unveiled its “brain-scale” approach for running the largest models in the world across up to 192 CS-2 clusters. To enable this, Cerebras is debuting its weight streaming technology, which flips the way that models are usually run, and launching two new products: MemoryX and SwarmX. Read more…
Enter Dojo: Tesla Reveals Design for Modular Supercomputer & D1 Chip
August 20, 2021
Two months ago, Tesla revealed a massive GPU cluster that it said was “roughly the number five supercomputer in the world,” and which was just a precursor to Tesla’s real supercomputing moonshot: the long-rumored, little-detailed Dojo system. “We’ve been scaling our neural network training compute dramatically over the last few years,” said Milan Kovac, Tesla’s director of autopilot engineering. Read more…
Baidu Brain 7.0 AI Platform Announced; Baidu Kunlun II AI Chips Now in Mass Production
August 18, 2021
The latest version of Baidu’s open AI platform, Baidu Brain 7.0, has been launched by the Chinese technology company, which also announced that its Kunlun II Read more…
Zapata Computing’s Formula for Achieving Quantum Advantage Today
August 16, 2021
While most of the quantum computing world is focused on achieving fault tolerant computing – some day – with intermediate applications for NISQ (near interm Read more…
Argonne Turns to Insects for Neuromorphic Computing
August 13, 2021
The burgeoning field of neuromorphic computing – arguably led by Intel’s “Loihi” chip – leverages virtualized neurons to mimic the behavior of the bra Read more…
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Meeting AI/ML Compute Needs with the HPE Apollo 6500 Gen10 Plus
Companies across most industries run workloads that use HPC, artificial intelligence, and machine learning to deliver real-time insights that help their businesses operate more efficiently, respond to changes faster, and innovate. The HPE Apollo 6500 Gen10 Plus System based on the latest NVIDIA A100 Tensor Core GPUs and both 2nd and 3rd Gen AMD EPYC™ processors and AMD Instinct™ MI100 accelerators deliver the needed exceptional performance, fast insights, and advanced security to fuel better business outcomes. Download this white paper to learn about the system’s capabilities, its performance in MLPerf Inference benchmarking tests, and HPE services that complement the system.
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Direct Liquid Cooling: CAPEX and OPEX, the Complete ROI Story
Health data capture, precise data analysis and machine assisted diagnosis are a big focus of the precision medical field. It is critical that medical organizations and researchers have a method for efficiency, simplification, and scalability to run precision medicine workloads. An optimized infrastructure is required to meet the needs of GPU systems capable of running precision medicine applications and workloads.
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This paper describes how Quanta Cloud Technology (QCT) developed the QCT POD for Medical (QPM) platform specifically designed to meet the needs for life science customers. QCT provides an on-premises rack-level system for the healthcare industry. To reach greater flexibility and scaling, QPM offers common building blocks to meet different medical demands, like Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Image Recognition. In addition, QCT optimized the QPM solution to automate launching the NVIDIA Clara application framework for AI-powered imaging and genomics.
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Why Storage Infrastructure Choices Matter for Data-Intensive Organizations
Oracle’s next generation HPC architecture with Intel compute instance based on 3rd Generation Intel® Xeon® Scalable processors, code named "Ice Lake", changes the game for HPC in the Cloud. The new HPC Bare Metal instance delivers performance gains of up to 42% compared to the previous generation HPC instance. Oracle Cloud Infrastructure with Intel’s 3rd generation processors also offers the flexibility to choose the right combination of cores and memory to suit workloads. The price per core-hour stays the same as the previous HPC instance, across all Oracle Cloud regions. This combination of improved performance and flat pricing translates to faster simulations and big cost savings.
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Sponsored by DDN
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A Modern Converged Platform to Boost Smart Medical Workloads
In this webinar, Intersect360 Research CEO Addison Snell will lead a discussion with AMD HPC Leaders Robert Hormuth, CVP, Architecture and Strategy, Brad McCredie, Corporate Vice President of Data Center GPU and Accelerated Processing and Brock Taylor, Global HPC Solutions Director around AMD's innovative HPC solutions and the momentum AMD has gained across all customer use cases. These AMD executives will discuss the applicability of AMD’s high-performance CPU and GPU approaches in a common environment along with the feature set that can enable small HPC clusters to the world’s most powerful supercomputers.
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