February 13, 2023
The axe has come down on quantum computing firm Rigetti, which laid off 28 percent of its staff on Monday. The company also switched to a more conservative p Read more…
January 18, 2023
At yesterday’s opening keynote to D-Wave Systems’ annual Qubits23 conference, CEO Alan Baratz took a broad swipe at the gate-based quantum computing communi Read more…
September 19, 2022
The are many issues in quantum computing today – among the more pressing are benchmarking, networking and development of hybrid classical-quantum approaches. Read more…
February 8, 2022
Quantum computing pioneer D-Wave today announced plans to go public via a SPAC (special purpose acquisition company) mechanism. D-Wave will merge with DPCM Capital in a transaction expected to produce $340 million in cash and result in a roughly $1.6 billion initial market valuation. The deal is expected to be completed in the second quarter of 2022 and the new company will be traded on the New York Stock... Read more…
January 19, 2022
The race to deliver quantum computing solutions that shield users from the underlying complexity of quantum computing is heating up quickly. One example is Multiverse Computing, a European company, which today launched the second financial services product in its Singularity product group. The new offering, Fair Price, “delivers a higher accuracy in fair price calculations for financial... Read more…
September 23, 2021
It seems the stream of quantum computing reports never ceases. This week – IonQ and Goldman Sachs tackle Monte Carlo on quantum hardware, Cambridge Quantum pu Read more…
March 11, 2021
The government of Canada today announced it is making a $40-million contribution to quantum heavyweight D-Wave Systems Inc. as part of a larger $120 million inv Read more…
September 29, 2020
D-Wave today launched its newest and largest quantum annealing computer, a 5000-qubit goliath named Advantage that features 15-way qubit interconnectivity. It a Read more…
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.
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.
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