Alibaba Shuts Down its Quantum Computing Effort

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Reuters’ reported earlier this we

By John Russell

Gaudi2, 4th Gen Xeon Show Strength in MLPerf Training 3.1, but still Trail Nvidia

Price, sufficient performance, and availability has become Intel’s mantra in the AI chip supply wars. Intel’s Gaudi2 accelerator and 4th gen Xeon CPU both posted strong showings in the MLPerf

By John Russell

Intersect360 Research: Generative AI Winds Fan HPC-AI Market Surge

Roaring demand for Generative AI enabling technology – mainly GPUs and GPU-accelerated systems – prompted Intersect360 Research to nudge up its 2023 HPC-AI forecast, which was first given at

By John Russell

Nvidia Showcases Domain-specific LLM for Chip Design at ICCAD

This week Nvidia released a paper demonstrating how generative AI can be used in semiconductor design. Nvidia chief scientist Bill Dally announced the new paper during his keynote at the Internat

By John Russell

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Cannabis Company Acquiring a Firm that Leases Nvidia H100 GPUs

October 25, 2023

Everyone is looking to cash in on the GPU and AI craze, even a cannabis company. Last month, the Colorado based American Cannabis Company agreed to acquire H Read more…

Quantum Pioneer D-Wave Again Faces NYSE Delisting

October 24, 2023

D-Wave Quantum Inc. (formerly D-Wave Systems) is once again facing delisting from the New York Stock Exchange because its stock price has dropped and hovered be Read more…

Atom Computing Wins the Race to 1000 Qubits

October 24, 2023

Atom Computing, a developer of neutral atom-based quantum computers, today announced it has built a 1,225-site atomic array that contains 1,180 qubits. This fol Read more…

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Broadcom Boosting Optical Network Speed as Moore’s Law Takes a Backseat

October 23, 2023

Optical networking inside and outside data centers is a way to create a sustainable large-scale computational infrastructure as artificial intelligence and othe Read more…

AWS/Harvard Report Optical Interface Advance for Quantum Networks

October 16, 2023

Preventing signal loss and garbling are key goals in developing effective quantum networks and eventually a quantum Internet. Today, AWS and Harvard researchers Read more…

EPB Offers Commercial Quantum Network for Quantum Developers

October 10, 2023

We hear a lot about quantum computers – sometimes too much – but not as much about quantum networking which will also be a critical component in making wide Read more…

AWS Survey Showcases Quantum Algorithms and Applications

October 5, 2023

Somewhat quietly, while quantum hardware developers have been steadily improving today's early quantum computers (scale and error correction), developers of qua Read more…

Rust Busting: IBM and Boeing Battle Corrosion with Simulations on Quantum Computer

October 3, 2023

The steady research into developing real-world applications for quantum computing is piling up interesting use cases. Today, IBM reported on work with Boeing to Read more…

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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.

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