PFAS Regulations, 3M Exit to Impact Two-Phase Cooling in HPC

January 27, 2023

Per- and polyfluoroalkyl substances (PFAS), known as “forever chemicals,” pose a number of health risks to humans, with more suspected but not yet confirmed Read more…

DOE Announces $42M ‘COOLERCHIPS’ Datacenter Cooling Program

September 28, 2022

With massive machines like Frontier guzzling tens of megawatts of power to operate, datacenters’ energy use is of increasing concern for supercomputer operati Read more…

LLNL Prepares the Water and Power Infrastructure for El Capitan

October 21, 2021

When it’s (ostensibly) ready in early 2023, El Capitan is expected to deliver in excess of two exaflops of peak computing power – around four times the powe Read more…

Berkeley Lab Team Improves HPC Datacenter Efficiency with Analytics

February 25, 2020

As HPC datacenters scale up, improving efficiency is crucial to avoiding correspondingly large energy use (and the ensuing high costs and large carbon footprint Read more…

New Supercomputer Cooling Method Saves Half-Million Gallons of Water at Sandia National Laboratories

February 24, 2020

A new cooling method for supercomputer systems is picking up steam – literally. After saving millions of gallons of water at a National Renewable Energy Laboratory (NREL) datacenter, this innovative approach, called... Read more…

Summit Has Real-Time Analytics: Here’s How It Happened and What’s Next

October 3, 2019

Summit – the world’s fastest publicly-ranked supercomputer – now has real-time streaming analytics. At the 2019 HPC User Forum at Argonne National Laborat Read more…

Sandia Engineer Helps to Halve Water Use by NREL HPC Cooling System

October 25, 2018

Processing the high volumes of water necessary to water cool HPC systems can pose serious difficulties. Now, an engineer from Sandia National Laboratories is being recognized for finding a way to halve the water used by a datacenter at the National Renewable Energy Laboratory (NREL). Read more…

When Water Quality—Not Quantity—Hinders HPC Cooling

October 18, 2018

Attention has been paid to the sheer quantity of water consumed by supercomputers’ cooling towers – and rightly so, as they can require thousands of gallons per minute to cool. But in the background, another factor can emerge, bottlenecking efficiency and raising costs: water quality. Read more…

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Whitepaper

Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™

Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.

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QCT POD- An Adaptive Converged Platform for HPC and AI

Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.

Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.

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