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AI Chip Start-up Groq to Detail Technology Progress in Fall
August 13, 2020
AI chip startup Groq announced yesterday it had closed its most recent funding round, saying the new investments will help it double in size by the end of this Read more…
MIT Improves Memristor Device Performance Using Silver and Copper
June 10, 2020
Memristors hold great promise for implementation of low power, artificial neural networks, however the phase change technology most commonly used to implement m Read more…
Intel Debuts Pohoiki Beach, Its 8M Neuron Neuromorphic Development System
July 17, 2019
Neuromorphic computing has received less fanfare of late than quantum computing whose mystery has captured public attention and which seems to have generated mo Read more…
Mixed-Signal Neural Net Leverages Memristive Technology
January 8, 2018
Memristive technology has long been attractive for potential use in neuromorphic computing. Among other things it would permit building artificial neural networ Read more…
Intel Debuts Myriad X Vision Processing Unit for Neural Net Inferencing
August 28, 2017
Intel today introduced the Movidius Myriad X Vision Processing Unit (VPU) which Intel is calling the first vision processing system-on-a-chip (SoC) with a dedic Read more…
AI’s Forward March: Machine Teaches Itself to Play Chess in 72 Hours
September 23, 2015
The field of artificial intelligence has had a rocky history with numerous setbacks, but there have been high points too, like when IBM's Deep Blue beat reignin Read more…
Knowm Snaps in Final Piece of Memristor Puzzle
September 9, 2015
Adaptive computing company Knowm Inc. says it has cleared a major technological hurdle in the pursuit of practical artificial neural network (ANN) chips that Read more…
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Whitepaper
A New Standard in CAE Solutions for Manufacturing
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
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Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
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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