There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark …
By John Russell
AWS today reported demonstrating an improved approach to quantum error correction that accounts for flip and phase errors in qubits with less overhead (redundant qubits) and on time scales that a …
By John Russell
Working in Duke University's Randles Lab, Cyrus Tanade, a National Science Foundation graduate student fellow and Ph.D. candidate in biomedical engineering, is positioned at the forefront of eff …
By Christine Baissac-Hayden
In a bold move by the number three public cloud company yesterday, Google Cloud announced it will no longer charge customers extra to move their data out of its data centers, making it the first …
By Alex Woodie
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
January 10, 2024
Intel and DigitalBridge, a global investment firm, launched an independent generative artificial intelligence (GenAI) company named Articul8. The platform offer Read more…
January 3, 2024
What a year - two new ~1000-qubit QPUs; two public Q companies have faced delisting pressure. Seems like the same boom-bust enthusiasm cycle for quantum computi Read more…
January 2, 2024
Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…
December 28, 2023
When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…
December 14, 2023
As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…
December 11, 2023
Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…
December 10, 2023
As far as big data storage goes, Amazon S3 has won the war. Even among storage vendors whose initials are not A.W.S., S3 is the defacto standard for storing lot Read more…
December 7, 2023
Few markets as small as the quantum information sciences market generate as much lively discussion. Hyperion Research pegged the worldwide quantum market at $84 Read more…
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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