Post by Ben Seipel, University of Wisconsin-River Falls/California State University, Chico; with Gina Biancarosa, University of Oregon; Sarah E. Carlson, Georgia State University; and Mark L. Davison, ...
The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler – have made their technology choices when it comes to deploying AI ...
[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...
AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...
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 ...
If you are looking for an alternative to Nvidia GPUs for AI inference – and who isn’t these days with generative AI being the hottest thing since a volcanic eruption – then you might want to give Groq ...
Qualcomm extends its presence in AI inference processing, began with its Cloud AI 100 series accelerators, with the launch of its new Qualcomm Cloud AI 100 Ultra. While Qualcomm’s Cloud AI 100 ...
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