Blogs

Ampere Memory Tagging brings production-ready memory safety to data centers. Prevent buffer overflows & errors with zero performance or capacity impact. Boost security & app reliability.

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.

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

ShapeBlue and Ampere recently announced the availability of a mutually developed reference architecture for Infrastructure as a Service (IaaS) on Arm.

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.

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

As the IT landscape evolves, new trends are emerging that promise to reshape how businesses approach technology in 2025.

The digital world is evolving rapidly, constantly adapting to new user behaviors. Streaming services have long established...

As cloud providers push the boundaries of scalability and efficiency, innovations like nested virtualization are gaining prominence...