Nvidia Announces Database of 100K AI and HPC-enabled Brain Images

May 30, 2022

During a special address at ISC today, general manager and vice president of Accelerated Computing at Nvidia, Ian Buck, shared promising news for the future of Read more…

HPE Brings Startup Determined AI Into Its HPC Business Group

June 22, 2021

Making machine learning easier to use is all the rage in enterprise computing as more and more businesses are finding out that adopting and integrating AI is harder to do than they first anticipated. HPE, like other large technology vendors, has been hearing that message from customers and in response, has acquired Determined AI, a San Francisco... Read more…

The Role and Potential of CPUs in Deep Learning

April 14, 2021

Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impa Read more…

Hardware Acceleration of Recurrent Neural Networks: the Need and the Challenges

July 27, 2020

Recurrent neural networks (RNNs) have shown phenomenal success in several sequence learning tasks such as machine translation, language processing, image captio Read more…

Nvidia Nabs #7 Spot on Top500 with Selene, Launches A100 PCIe Cards

June 22, 2020

Nvidia unveiled its Selene AI supercomputer today in tandem with the updated listing of world’s fastest computers. Nvidia also introduced the PCIe form factor of the Ampere-based A100 GPU. Nvidia’s new internal AI supercomputer, Selene, joins the upper echelon of the 55th Top500’s ranks and breaks an energy-efficiency... Read more…

IBM Boosts Deep Learning Accuracy on Memristive Chips

May 27, 2020

IBM researchers have taken another step towards making in-memory computing based on phase change (PCM) memory devices a reality. Papers in Nature and Frontiers Read more…

SiFive Accelerates Chip Design with Cloud Tools

March 25, 2020

Chip designers are drawing on new cloud resources along with conventional electronic design automation (EDA) tools to accelerate IC templates from tape-out to c Read more…

Micron Accelerator Bumps Up Memory Bandwidth

February 26, 2020

Deep learning accelerators based on chip architectures coupled with high-bandwidth memory are emerging to enable near real-time processing of machine learning a Read more…

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Whitepaper

End-to-End Support Toward Accelerating Discovery and Innovation with a Converged HPC and AI Supercomputer

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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