Blogs

NSF Awards $13.77M for AmpereOne® M Powered Platform at Stony Brook IACS

Tiny per‑prompt impacts add up. Ampere shows how efficient processors, workload tuning, and smarter orchestration can reduce AI’s water and energy footprint at rack and data‑center scale.

Facing high AI deployment costs? Learn 4 steps to optimize AI infrastructure, cut spending, and boost monetization with smart models & CPU virtualization

From decoding the protein universe to fighting mosquito-borne diseases and accelerating drug discovery...

As AI demand surges, performance-per-watt and rack-level density can prevent runaway infrastructure expansion and ease pressure on water and energy resources

Inference is now the backbone of AI. Whether it’s powering a virtual assistant, a code companion or a real-time search agent, the need for low cost, high-performance inference continues to grow.

At Ampere, our global interns are invaluable members of the team, contributing fresh perspectives and driving innovation in projects worldwide.

Getting started with Ampere CPUs is one of the most common questions our Field Application Engineers (FAEs) ...

True appreciation of AI means looking deeper at the infrastructure that makes AI progress possible.

Tackling memory limits, shifting models, and real-world scale — without rewriting the stack.

Ampere®’s high-performance, power-efficient processors are playing a foundational role in supporting Nissan’s next-generation autonomous driving.

Ceph has been a powerhouse in the open source storage world for years – a flexible, massively scalable, and reliable provider of block...