September 28, 2022
Over the past five years, Intel has been iterating on its neuromorphic chips and systems, aiming to create devices (and software for those devices) that closely Read more…
September 30, 2021
Four years after the introduction of Loihi, Intel’s first neuromorphic chip, the company is introducing its successor. According to Intel, the second-generation chip will provide faster processing, higher resource density and greater energy efficiency. Intel is also introducing Lava, a software framework for neuromorphic computing. Read more…
August 13, 2021
The burgeoning field of neuromorphic computing – arguably led by Intel’s “Loihi” chip – leverages virtualized neurons to mimic the behavior of the bra Read more…
October 2, 2020
After facing setbacks in its semiconductor execution, including a delay in its 7nm node, Intel is announcing two partnerships with U.S. national labs that reaffirm its commitment to advanced computing: first, a partnership with the DOE and the national labs that focuses on developing next-generation semiconductors and manufacturing techniques; and second... Read more…
August 20, 2020
Intel’s neuromorphic chip has learned to smell, learned to touch – and now, it’s here to help. The chip, which mimics the behavior of the human brain, is Read more…
July 15, 2020
Moving neuromorphic technology from the laboratory into practice has proven slow-going. This week, National University of Singapore researchers moved the needle Read more…
March 18, 2020
Neuromorphic chips attempt to directly mimic the behavior of the human brain. Intel, which introduced its Loihi neuromorphic chip in 2017, has just announced that Loihi has been scaled up into a system that simulates over 100 million neurons. Furthermore, it announced that the chip smells. 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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