Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.
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Broadcom and OpenAI unveil custom-built Jalapeño inference processor
Broadcom and OpenAI reveal their Jalapeño custom-built inference ASIC that allegedly beats existing leading-edge in terms of ...
Abstract: This article presents a support vector machine (SVM) processor that supports both seizure detection and on-chip model adaptation for epileptic seizure control. Alternating direction method ...
Every major computing era has been defined not by technology, but by a dominant workload—and by how well processor architectures adapted to it. The personal computer era rewarded general-purpose ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for laptops, as well as for the data center. Here's the download on what's new in ...
Please be advised that Enoki is no longer being maintained. It is superseded by Dr.Jit. Enoki is a C++ template library that enables automatic transformations of ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The speed and efficiency of traditionally developed software applications is limited by the fact ...
The Titan, Raider, Stealth, Cyborg, Vector, and more are all getting the RTX 50-series treatment. The Titan, Raider, Stealth, Cyborg, Vector, and more are all getting the RTX 50-series treatment. is a ...
Author: David M. Cooke, Francesc Alted, and others. NumExpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like '3*a+4*b') are accelerated and use ...
Abstract: This paper explores using a multicore RISC- V vector processor to enhance the performance of convolutional neural networks (CNNs) quantized to low and ultra-low precisions. Optimizing CNNs' ...
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