Ampere

Semiconductor design company leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.

[Ampere @AmpereComputing]

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.

[Ampere @AmpereComputing]

Since 2023, @CloudNativeFdn projects received $3M in OCI credits to improve build, test and release workflows on Arm64. See how the program helps projects like @opentelemetry & @kubeflow deliver better multi-architecture software with greater confidence. https://t.co/A1UrQbOMeE

[Ampere @AmpereComputing]

At the OCI Summit, Ampere VP Naren Nayak & Oracle OCI Architect Shuo Wang highlighted @Oracle's “Arm-first” silicon strategy & how they enabled customers like @Uber & @RedBullRacing to migrate around a central premise of silicon optionality, platform leverage & performance per $.

[Ampere @AmpereComputing]

Struggling with high CPU usage but flat application throughput on ARM64/Linux? It might not be your code.

In this Developer Impact Series episode, learn a top-down tuning approach that helps identify platform bottlenecks early. https://t.co/ragOru32V8

[Ampere @AmpereComputing]

Agentic AI drives continuous autonomous workflows, requiring always-on, high-efficiency CPUs to optimize power and performance at scale.

Explore how modern architectures are evolving to meet the demands of next-gen AI infrastructure. https://t.co/HbzT1yQhgo

[Ampere @AmpereComputing]

The Ampere Performance Toolkit makes it easier to diagnose & optimize performance without needing to be familiar with every single Linux tool.

The Director of Application Engineering shares a deep dive into each of the specialized tools available to devs. https://t.co/aoAGN1Ytrr

[Ampere @AmpereComputing]

Experts project that data centers may consume 12% of US electricity by 2028 amid rising temperatures and demand.

Maximizing performance-per-watt can reduce the need for new data centers, cutting energy use, water consumption, and environmental impact. https://t.co/yZREhEAqw7

[Ampere @AmpereComputing]

Since day one, Ampere has been driven by a commitment to power-efficient, high-performance computing.

Hear CPO Jeff Wittich on The Compute 100 share Ampere’s origin, our vision for the future and insights for the next generation of compute innovators. https://t.co/6m31VVy4Jn

[Ampere @AmpereComputing]

Accelerate AI workloads while significantly reducing power consumption.

Learn how Ampere's Arm-based processors deliver efficient, scalable compute designed to maximize performance and minimize energy costs. https://t.co/2tn6AtEgCb

[Ampere @AmpereComputing]

Europe’s sovereign cloud market is set to nearly quadruple by 2027, reaching $23B in IaaS spending and driving AI innovation across the region.

Learn how Ampere is enabling sovereignty in the cloud. https://t.co/G55mO3IRw9

[Ampere @AmpereComputing]

The true cost of agentic AI is ongoing operational overhead, not just model training. Efficiency beats peak performance for always-on agents.

Ampere CPUs provide the performance and efficiency needed for continuous autonomous AI without hidden costs. https://t.co/vYVFWkLoa1

[Ampere @AmpereComputing]

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. https://t.co/XUOBjPv55Y

[Ampere @AmpereComputing]

High-performance, high-efficiency computing.

Learn how Ampere is powering the future of digital services with less power.

https://t.co/BaN9LjnRhn

[Ampere @AmpereComputing]

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. https://t.co/3nif0GuY7G

[Ampere @AmpereComputing]

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.

[SPEC @spec_perf]

The SPEC CPU 2026 benchmark suites are here! As the industry standard for vendor-neutral performance, this suite uses 52 real-world apps to help server buyers evaluate how the latest CPUs, memory & compilers handle intense workloads. 🔗 https://t.co/XmEV1L9XjZ #SPEC #Server #CPU

[Aaron Williams🇺🇦 @aarondonw]

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: https://t.co/5lRsXIHyoJ
@AmpereComputing

[Ampere @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. https://t.co/cyZCPIjh1k

[Ampere @AmpereComputing]

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. https://t.co/vySQtWyjcM

[Ampere @AmpereComputing]

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. https://t.co/mCrmfLNXpX

[Ampere @AmpereComputing]

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. https://t.co/wCnIICe7wZ

[Ampere @AmpereComputing]

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. https://t.co/FJErtYOa4l