Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Radio Free HPC Reviews the Results from the ASC 2018 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results of the ASC 2018 Student Cluster Competition.

“The ASC 2018 Student Supercomputer Challenge finalist were announced on March 20, 2018. The 20 finalists will design and build supercomputers up to 3,000 Watts, solve exceptionally difficult problems in AI reading comprehension, perform RELION optimization as a core application of the Nobel winning cryo-electron microscopy, and utilize CFL3D, HPL, and HPCG.”

One Stop Systems Launches Rack Scale GPU Accelerator System

Today One Stop Systems expanded its line of rack scale NVIDIA GPU accelerator products with the introduction of GPUltima-CI. “The GPUltima-CI power-optimized rack can be configured with up to 32 dual Intel Xeon Scalable Architecture compute nodes, 64 network adapters, 48 NVIDIA Volta GPUs, and 32 NVMe drives on a 128Gb PCIe switched fabric, and can support tens of thousands of composable server configurations per rack. Using one or many racks, the OSS solution contains the necessary resources to compose any combination of GPU, NIC and storage resources as may be required in today’s mixed workload data center.”

Steve Oberlin from NVIDIA Presents: HPC Exascale & AI

Steve Oberlin from NVIDIA gave this talk at SC17 in Denver. “HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by letting researchers analyze massive amounts of data faster and more effectively. It’s a transformational new tool for gaining insights where simulation alone cannot fully predict the real world.”

NVIDIA Tesla V100 GPUs Power New TYAN Server

Today TYAN showcased their latest GPU-optimized platforms that target the high performance computing and artificial intelligence sectors at the GPU Technology Conference in Munich. “TYAN’s new GPU computing platforms are designed to provide efficient parallel computing for the analytics of vast amounts of data. By incorporating NVIDIA’s latest Tesla V100 GPU accelerators, TYAN provides our customers with the power to accelerate both high performance and cognitive computing workloads” said Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN Business Unit.

OSS Showcases New HDCA Platforms with Volta GPUs at GTC Europe

At GTC Europe this week, One Stop Systems (OSS) will exhibit two of the most powerful GPU accelerators for data scientists and deep learning researchers, the CA16010 and SCA8000. NVIDIA GPU computing is helping researchers and engineers take on some the world’s hardest challenges,” said Paresh Kharya, group product marketing manager of Accelerated Computing at NVIDIA. “One Stop Systems’ customers can now tap into the power of our Volta architecture to accelerate their deep learning and high performance computing workloads.”

Fujitsu to Build 37 Petaflop AI Supercomputer for AIST in Japan

Nikkei in Japan reports that Fujitsu is building a 37 Petaflop supercomputer for the National Institute of Advanced Industrial Science and Technology (AIST). “Targeted at Deep Learning workloads, the machine will power the AI research center at the University of Tokyo’s Chiba Prefecture campus. The new Fujitsu system feature will comprise 1,088 servers, 2,176 Intel Xeon processors, and 4,352 NVIDIA GPUs.”

NVIDIA Tesla GPUs Come to Oracle Bare Metal Cloud

Over at the NVIDIA Blog, Kristin Bryson writes that the Oracle Bare Metal Cloud now offers Tesla P100 GPUs for technical computing. “The move underscores growing demand for public-cloud access to our GPU computing platform from an increasingly wide set of enterprise users. Oracle’s massive customer base means that a broad range of businesses across many industries will have access to accelerated computing to harness the power of AI, accelerated analytics and high performance computing.”

The New Nvidia HGX-1: GPU Power for Machine Learning at Hyperscale

Rob Ober from Nvidia describes the company’s new HGX-1 reference platform for GPU computing. “Powered by NVIDIA Tesla GPUs and NVIDIA NVLink high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalized healthcare to superhuman voice recognition—are taking off in the cloud.”