Microsoft’s new Maia 200 inference accelerator chip enters this overheated market with a new chip that aims to cut the price ...

Jensen Huang has built a $4.6 trillion empire selling the picks and shovels of the AI revolution. But while he preaches ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

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 ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

AMD's stock remains highly volatile, reflecting ongoing uncertainty and rapid shifts in market sentiment, but still underperforms major indexes. Advanced Micro Devices is positioning itself for ...