Triple Data Center Efficiency and Performance

The Ampere^® Altra^® family of Cloud Native processors is ideal for running web services workloads—delivering better performance per rack and lowering energy and hardware costs.

Video Services

Whether in cloud data centers or the edge, the Ampere Altra family delivers scalability and consistent performance to maximize streaming, processing, and storing video content.

Artificial Intelligence (AI)

Ampere AI delivers a performance boost to any existing model running on a variety of supported frameworks out-of-the box.

Big Data

Ampere Altra family processors, designed for cloud native environments, provide predictable performance at half the power for big data solutions.

Ampere Altra

Built for cloud native workloads and the edge, Ampere Altra products range from 32 to 80 cores and feature industry-leading power efficiency, scalability, and high performance.

Ampere Altra Max

The most energy efficient Cloud Native Processors, 128 core Ampere Altra Max platforms deliver breakthrough data center efficiency—with up to 3x higher performance and over 4x the core density.*

"From initial exploration to public beta, our engineering team was able to create a POC running on OCI Ampere A1 within six weeks.”

─ Lukas Hertig, Senior Vice President of Business Development and Strategic Alliances at Plesk/WebPros See Case Study >

Shorten Time to Deployment

Building Cloud Applications

Understand the availability and performance of preferred build tools—including scripting, containerization, and runtime support.

Deploying Cloud Applications

Whether you’re considering cloud platforms, or choices around containers or virtual machines, we’ve got you covered.

Ampere Ready Software

Search our extensive software ecosystem to find your preferred application to make deploying Cloud Native Processors easy.

Ready to get more performance for less?

Footnote:

The web services study here is based on performance and power data for many typical workloads using single node performance comparisons measured and published by Ampere Computing.
Details and efficiency footnotes are available here.

Created At : February 9th 2023, 3:58:12 pm

Last Updated At : March 16th 2023, 9:59:26 pm