Ampere

It’s official! We’re proud to be a part of @SoftBank_Group, enabling Masayoshi Son’s vision for AI & continuing to drive forward with our innovative roadmap for high-performance, energy-efficient AI Compute. We look forward to shaping the future of AI together.

As AI adoption accelerates in Europe, so does demand for sovereignty. Modern, efficient compute infrastructure in local clouds will be essential to power this shift. Learn how Ampere works with regional cloud providers to support AI sovereignty. ow.ly/wzZl50YYlVi

High-performance, high-efficiency computing. Learn how Ampere is powering the future of digital services with less power. ow.ly/9fNk50YV7QK

AmpereOne M transforms big data workloads with up to 50% faster query times and 35% better energy efficiency for Hadoop and Spark. Check out the performance benchmarks to see how Ampere helps lower operating costs and cooling demands. ow.ly/NkYI50YV7Mb

Ampere is proud to support the development of the SPEC CPU 2026 benchmarks. Featuring 52 real-world tests and improved scaling for high-core CPUs, the update reflects today’s tech advances and ensures accurate performance measurement for modern processors.

How does native hardware support Linux kernel maintenance? 🐧 On May 14, Greg Kroah-Hartman (@linuxfoundation Fellow) joins @nearyd to discuss using a 128-core Ampere Altra server for native Arm64 development on the -stable branch. Reg: streamyard.com/watch/5GehknXX… @AmpereComputing

Ampere, @Uber & @Oracle turned years of collaboration into A4. Powered by AmpereOne M, A4 instances deliver consistent, scalable performance. Learn how we're helping set the foundation for Uber’s future of energy-efficient & cost-optimized computing. ow.ly/gjSv50YRYVt

Unlike prompt-driven AI, agentic systems run persistent workflows with multiple specialized models. This shifts infrastructure needs from peak power to sustained efficiency. Ampere’s CPUs are designed to meet these demands, here's how. ow.ly/70zZ50YRYN8

Built for modern distributed applications & AI inference workloads, A4 Acceleron enables organizations to optimize performance and cost. Get to know more about the new A4 instances combining the power of AmpereOne M with @Oracle’s Acceleron architecture. ow.ly/S88J50YQQOe

By upgrading its global PoPs with Ampere processors, @wedos achieved over 50% efficiency gains. This enabled the hosting and cybersecurity provider to handle 200K requests per second at just a 3% CPU utilization. Read more on their deployment journey. ow.ly/g5Ov50YOFRB

On this Earth Day, a reminder that scaling AI does not have to mean scaling energy consumption at the same rate. See how smaller, task-focused models paired with efficient Ampere CPUs help scale AI responsibly without unnecessary power consumption. ow.ly/6Y4L50YO8EX

AI-ready. Cost-effective. Secure. See how AI inference workloads run efficiently on the new AmpereOne M-based A4 Acceleron instances in @OracleCloud. ow.ly/BJAb50YNbnt

From Sean Varley at @CloudFest: Ampere’s high performance, high efficiency processors are well suited for agentic AI workloads. Watch his interview with @AlbertoAbsmeier to understand how our low cost infrastructure enables business productivity. ap-verlag.de/techtalk-wir-s…

Introducing new OCI Ampere-powered A4 Acceleron instances, featuring @Oracle’s Acceleron networking technology. These instances deliver enhanced infrastructure capabilities designed for today’s cloud & AI workloads. ow.ly/uppo50YKvy2

Building off their initial Ampere deployment, @glesysab is offering a new AmpereOne-based server infrastructure to their customers. See how the Nordic cloud provider delivers enhanced cost-efficiency with a lower carbon footprint. ow.ly/aVeK50YIvs9

The latest MegaDC systems combine the efficiency of AmpereOne M with @Supermicro's architecture to deliver up to 50% performance improvements for AI inference workloads. Get to know the latest platforms built for the AI-driven future. ow.ly/7mLs50YIvcC

AmpereOne M takes a fundamentally different approach. Instead of relying on software or scheduling tricks to isolate workloads and manage noisy neighbors, it enforces predictability in the architecture itself. Here's how. ow.ly/qCvw50YF4hP

Ampere continues to see strong demand for Arm-based compute among hyperscale & regional cloud providers throughout Europe. Learn about some of the latest AmpereOne & AmpereOne M deployments including @Oracle and @Hetzner_Online via @datacenter. ow.ly/10q350YF3uo

Join #DeveloperImpactLive Apr 16 @ 9AM PT / 18:00 CEST! 🚀 @Kubeflow’s Chase Christensen on scaling AI from Edge to Cloud via #arm64. See a live demo on @AmpereComputing & lrn how to get better performnce w/ CPU inference. @CloudNativeFdn Watch: streamyard.com/watch/w7am9Hmt… #MLOps #AI

Learn how to tune your Java applications for the cloud, specifically those deployed on Kubernetes. We dive deep into container awareness, system resources made available to Java containers, and common Linux configurations. ow.ly/snCz50YBW8L

Agentic AI doesn’t just change software. It changes the infrastructure required to run it. Continuous autonomous workloads demand compute that scales efficiently across power, space and cost. A look at what that means for enterprise AI. ow.ly/w5IC50YCqh3