Blogs

Global cloud spend is projected to exceed $700 billion this year, driven by AI-powered services and Cloud Native applications. At the same time, efficiency has become non-negotiable...

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.

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.

At Embedded World 2025, Ampere redefined what edge AI can look like: real-time multimodal AI inference — computer vision and natural language processing —

Artificial intelligence has rapidly evolved from a promising innovation to a powerful force reshaping every corner of business and daily life.