The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...
As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...
The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining ...
GPUs’ ability to perform many computations in parallel make them well-suited to running today’s most capable AI. But GPUs are becoming tougher to procure, as companies of all sizes increase their ...
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 ...
The market for serving up predictions from generative artificial intelligence, what's known as inference, is big business, with OpenAI reportedly on course to collect $3.4 billion in revenue this year ...
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Recently several novel tools for inferring transcriptional networks from expression data have been developed. Computationally inferred interactions offer a useful resource to complement experimental ...
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