The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, ...

The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than ...

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, ...

Amazon and Cerebras launch a disaggregated AI inference solution on AWS Bedrock, boosting inference speed 10x.

Startups as well as traditional rivals are pitching more inference-friendly chips as Nvidia focuses on meeting the huge demand from bigger tech companies for its higher-end hardware. But the same ...

Nvidia's new offerings could help cement its position in inference, said Wall Street analysts, after the company held its annual tech event GTC.

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As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...