Blogs

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.

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 —

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.

The Ampere® roadmap has been meticulously designed to address the evolving demands of data centers and cloud computing environments, especially with the ramp of AI inference applications...

Continuing our efforts from last year, we’ve extended our testing and evaluation of Ceph storage performance. We’ve shown significant efficiency advantages...

Ampere® has released a new version of its flagship AmpereOne® processor with 12 memory channels.