Intel’s Gelsinger Lays Out Vision and Map at Innovation 2023 Conference

September 20, 2023

Intel’s sprawling, optimistic vision for the future was on full display yesterday in CEO Pat Gelsinger’s opening keynote at the Intel Innovation 2023 confer Read more…

Intel Showcases ‘AI Everywhere’ Strategy in MLPerf Inferencing v3.1

September 18, 2023

Intel used the latest MLPerf Inference (version 3.1) results as a platform to reinforce its developing “AI Everywhere” vision, which rests upon 4th gen Xeon Read more…

MLPerf Releases Latest Inference Results and New Storage Benchmark

September 13, 2023

MLCommons this week issued the results of its latest MLPerf Inference (v3.1) benchmark exercise. Nvidia was again the top performing accelerator, but Intel (Xeo Read more…

Aurora Image

Argonne Places Aurora’s “Golden Blade” as Much Awaited Supercomputer Gathers Steam 

July 24, 2023

While not a golden HPC spike, the final blade has been loaded into Aurora. As mentioned previously, final preparation of Aurora is underway. Aurora the "almost Read more…

Appetizing Quantum Bits: Five Papers Looking at Noise, GANs, VQAs, Qubit Testing

July 12, 2023

What’s good way to characterize dynamic noise in QPUs? Why should CMOS and single electron spin qubits be a preferred approach? Can variational quantum algori Read more…

Mining Companies Consider Repurposing Idle GPUs to HPC and AI Markets

July 6, 2023

Crypto companies that loaded up on GPUs in data centers for coin mining are now investigating whether to sell or repurpose the idle hardware to the exploding ar Read more…

Aurora’s 10,624 Blades in Place as Exascale System Nears Completion

June 22, 2023

Aurora, one of the first three U.S. exascale supercomputers, has not had a straightforward path to installation and operation. The system has been repeatedly re Read more…

Intel Debuts Tunnel Falls Quantum Chip and LQC Program to Work with It

June 15, 2023

Today, Intel announced its first silicon spin-based qubit quantum chip – Tunnel Falls – a 12-qubit research chip and a program intended to selectively share Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads

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.

QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.

Download Now

Sponsored by QCT

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire