If you’ve wondered why GPUs are faster than CPUs, in part it’s because GPUs are asked to do less – or, to be more precise, to be less precise. Next question: So if GPUs are faster than CPUs, why aren’t GPUs the mainstream, baseline processor used in HPC server clusters? Again, in part it gets […]
Double-precision CPUs vs. Single-precision GPUs; HPL vs. HPL-AI HPC Benchmarks; Traditional vs. AI Supercomputers
July 20, 2021 by Leave a Comment
ALCF Developer Session: Inside the NVIDIA Ampere A100 GPU in ThetaGPU and Perlmutter
July 19, 2021 by Leave a Comment
On Wednesday, July 28 at 11 am CT, the Argonne Leadership Computing Facility will present a developer session focused on utilization of the Nvidia Ampere A100 GPU in ALCF’s ThetaGPU and NERSC’s Perlmutter supercomputers. Registration is here. The Ampere A100 GPU builds on the performance of the NVIDIA V100 GPU and includes new features for […]
Spend Less on HPC/AI Storage (and more on CPU/GPU compute)
July 19, 2021 by Leave a Comment
[SPONSORED POST] In this whitepaper courtesy of HPE, you’ll learn about the three approaches that can help you to feed your CPU- and GPU-accelerated compute nodes without I/O bottlenecks while creating efficiencies in Gartner’s Run category. As the market share leader in HPC servers, HPE saw the convergence of classic modeling and simulation with AI methods such as machine learning and deep learning coming and now offers you a new portfolio of parallel HPC/AI storage systems that are purpose engineered to address all of the previously mentioned challenges—in a cost-effective way.
Report: Intel Weighing Acquisition of GlobalFoundries
July 16, 2021 by Leave a Comment
New Intel CEO Pat Gelsinger’s vow earlier this year to move the company into the foundry business – making chips not just for itself but also for others – may take the form of acquiring GlobalFoundries in a deal that could be worth $30 billion, according to a story in the Wall Street Journal. The […]
NVIDIA and Partners Launch HGX A100 Systems for Industrial AI and HPC
June 28, 2021 by Leave a Comment
NVIDIA today announced a revamp of its NVIDIA HGX AI supercomputing platform with new technologies that fuse AI with high performance computing, designed to make supercomputing more useful to a growing number of industries. To accelerate the new era of industrial AI and HPC, NVIDIA has added three key technologies to its HGX platform: the […]
New Supermicro Servers Featuring NVIDIA A100 80GB PCIe GPUs
June 28, 2021 by Leave a Comment
San Jose, June 28, 2021 — Super Micro Computer, Inc., a maker of enterprise computing, storage, networking and green computing technology, announced Supermicro servers that will support the latest NVIDIA technologies. Both 3rd Gen Intel Xeon Scalable processors or 3rd Gen AMD EPYC processor-based servers will be available that incorporate the new NVIDIA A100 80GB PCIe Tensor Core GPUs. […]
Fugaku Stays on Top of Top500 Supercomputer List – But Is China Holding Back?
June 28, 2021 by Leave a Comment
The new edition of the Top500 saw the Japanese Fugaku supercomputer solidify its number one status in a list that the list organizers said shows a somewhat static and flattening performance growth curve. Just one new system made it into the top 10 (here’s the complete list). Fugaku performance is now at 442 petaflops on […]
Lenovo at ISC: ‘Exascale to Every Scale’
June 27, 2021 by Leave a Comment
For at least four years, Lenovo has been vocal about its high ambitions in high performance computing, and by all appearances the company is progressing toward its objectives. This is the eighth year since China-based Lenovo purchased IBM’s Intel x86-based server business, an acquisition that marked the company’s entrance into HPC, and despite some U.S. […]
Purdue University Seeing New Opportunities for Innovation with Cloud Technology Using Azure’s AMD EPYC™ Processor-based HBv3 Instances
May 21, 2021 by
In this sponsored article, Preston Smith, Director of Research Services and Support at Purdue University, discusses how Purdue University’s community cluster program has supported scientists from every corner of the campus since 2004, building upon decades of experience at Purdue in scientific computing. Batch high-performance computing remains the scientists’ bread and butter, with current community clusters delivering hundreds of millions of CPU-hours each year, but cloud technology, using Azure’s AMD EPYC™ processor-based HBv3 instances, is providing new opportunities for innovation.
5 Considerations When Building an AI / GPU Cluster
April 22, 2021 by
AI continues to change the way many organizations conduct their work and research. Deep learning applications are constantly evolving and organizations are adapting to new technologies, improving their performance and capabilities. Companies that fail to adapt to these emerging technologies run the risk of falling behind the competition. At PSSC Labs we want to make sure that doesn’t happen to you. There is a lot going on in the world of AI and even more to think about when building a GPU-heavy AI server or cluster system. This article offers five essential elements to an AI/GPU computing environment.
