Blogs

Meet Phu, Madhavi, and Dylan, our current interns at Ampere! We had the privilege of speaking with them to discover more about their daily contributions and what they love about #LifeAtAmpere.

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

Global spending on public cloud services is projected to exceed $725 billion this year, reflecting a dramatic rise in demand for scalable, cloud-native solutions.

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.

Large Language Models (LLMs) are revolutionizing our interactions with technology. However, their size typically makes them resource-intensive, driving up costs and energy consumption.

Jenkins CI packages running Ampere® Processors provide core functionality required for mixed architecture builds