Blogs

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.

MWC is massive. 100K people ebbed in and out each day. This was my third time at MWC in Barcelona, and it never fails to amaze me – from the breadth of technologies to the massive displays to the quirky gadgets that one might find at the show.

Modern AI Compute workloads have pushed legacy processor architectures to their limits. The need for higher performance, greater scalability...

Artificial Intelligence (AI) workloads are growing at an unprecedented rate with the resulting data center electricity consumption expected to exceed 1,000 terawatt-hours globally by 2026.