The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...
An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...
ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...
Opinion: AI’s energy challenge may not be solved by more power alone. Smarter compute, memory, and chip design could make ...
D-Matrix launches its Corsair inference accelerator, claiming 10x faster AI inference than Nvidia GPUs with 5x better energy ...
In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Sagence AI™ today emerged from stealth unveiling a groundbreaking advanced analog in-memory compute architecture that directly addresses the untenable ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
South Korean chip startup Xcena is betting that AI's real bottleneck is not compute, but memory.
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