A.I. chip, Maia 200, calling it “the most efficient inference system” the company has ever built. The Satya Nadella -led tech ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models efficiently, but also to provide robust developer workflows, lifecycle ...

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, ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

As AI workloads move from centralised training to distributed inference, the industry’s fibre infra challenge is changing ...

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...

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