Put on a shelf by Intel in 2019, Omni-Path faced a uncertain future, but under new custodian Cornelis Networks, OmniPath is looking to make a comeback as an independent high-performance interconn …
“One way of saying what I do for a living is to say that I develop scientific instruments,” said Kate Keahey, a senior fellow at the University of Chicago and a computer scientist at Argonne …
At last month’s 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), a group of researchers led by Martin Schulz of the Leibniz Supercomputing …
Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participants in the Scientific Research Enab …
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High Performance Computing (HPC) cooling technologies are moving into the enterprise sector. Data centers face major costs for cooling based on running increased workloads and thermal requirements. Data centers have traditionally used chillers, evaporative cooling towers, pumps, Computer Room Air Conditioner (CRAC) units and Computer Room Air Handling (CRAH) units to cool their infrastructure. Data centers are starting to integrate Direct Liquid Cooled (DLC) solutions to meet stringent energy standards, reduce costs, and increase cooling efficiency. Both traditional air conditioning and DLC are needed to meet data center cooling needs.
Organizations need to consider Capital Expenditures (CAPEX) and Operating Expense (OPEX) to determine when to use air conditioning, a DLC solution, or a hybrid solution in their data center. This paper compares the CAPEX and OPEX costs of using traditional air cooling solutions from STULZ USA with a hybrid solution that uses both STULZ air cooling and CoolIT DLC solutions.
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.
Read this paper now to learn the benefits for:
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.
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.
Join Oracle and Intel and learn how customers are increasing performance for HPC workloads across batch processing, video encoding, electronic design automation (EDA), distributed analytics, data science, AI, and computational fluid dynamics (CFD).
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