Making sense of today’s quantum computing landscape is challenging. IBM’s research chief Dario Gil says quantum computing writ large is now undeniably an industry. Jim Clarke, Intel’s quant …
Is it possible to get quantum advantage without actually using a quantum device? One Swiss start-up, Terra Quantum, says it’s not only possible but that doing so is a core part of its business …
• SC Conference Chair Candace Culhane
• TACC’s Vision for Leadership Computing
• Talking Carbon-free HPC with Lancium
• Frontier: From Exasperation to Exascale
December 13, 2022
Currently, Intel doesn’t have a quantum processor that potential users can access. In the fall, it launched a new quantum software development kit and simulat Read more…
December 7, 2022
Hyperion Research delivered its latest outlook for the quantum computing market yesterday at the Q2B22 Conference, estimating revenues for 2022 will finish arou Read more…
December 1, 2022
Part scorecard, part grand vision, IBM’s annual Quantum Summit held last month is a fascinating snapshot of IBM’s progress, evolving technology roadmap, and Read more…
November 23, 2022
Last month, QuEra Computing began providing access to its 256-qubit, neutral atom-based quantum system, Aquila, from Amazon Braket. Founded in 2018, and built o Read more…
November 19, 2022
For all of its politeness, a fascinating panel on the last day of SC22 – Quantum Computing: A Future for HPC Acceleration? – mostly served to illustrate the Read more…
November 14, 2022
MLCommons last week issued its third annual set of MLPerf HPC (v2.0) results intended to showcase the performance of larger systems when training more rigorous Read more…
November 10, 2022
MLCommons yesterday issued its latest round of MLPerf benchmarks – for Training, HPC, and Tiny. Releasing three sets of benchmarks at the same time makes pars Read more…
November 3, 2022
D-Wave Systems, a pioneer in quantum annealing-based computing, today announced significant upgrades to its constrained quadratic model (CQM) hybrid solver that Read more…
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A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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