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 ...

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast 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 ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...

SK hynix has formalized development of a next-generation solid-state drive (SSD) with Nvidia. SK hynix has posted massive results by supplying high bandwidth memory (HBM) to Nvidia, and its customer- ...

Nvidia has long dominated the market in compute hardware for AI with its graphics processing units (GPUs). However, the Spring 2024 launch of Cerebras Systems’ mature third-generation chip, based on ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...