Blogs

Did you know that up to 85% of AI silicon that we use today in data centers and at the edge is dedicated to AI inferencing? This is where a trained AI model takes the knowledge it has acquired to make predictions on new data.

Ampere team member, Sandy Dash, talks about life at Ampere, the culture, and how she has been able to help tell Ampere's story in her Silicon Validation role.

Donated Ampere servers support the work of the FreeBSD community with the extra punch of cloud native possibilities.

The use of AI is becoming widespread, and 2023 was a breakout year. A McKinsey study revealed that respondents expect AI to transform their industries, and 22 percent said they regularly use it in their work.

In this blog I show that gprofng is easy to use and useful for digging into the dynamic behavior of a Java application.

Find out more about deploying Aarch64 and x86 nodes side by side in your next infrastructure deployment. This blog walks through how to implement the HPE RL300 to run some of the NGINX workload for a common web service.

Ampere Partners OCI and Equinix are teaming up with the CNCF and Ampere to give the Cloud Native SW developer ecosystem unprecedented access to Ampere platforms and instances to significantly expand the availability of Arm64 based architecture to Cloud Native software developers across the CNCF ecosystem.

Ampere Computing and the Cloud Native Computing Foundation (CNCF) are launching a pilot project to provide Actuated’s managed CI for GitHub Actions to a number of CNCF projects.

Microsoft has launched the Azure Bpsv2 VMs, designed for real-world usages that are bursty, with the same emphasis on performance, predictability, and sustainability that have made the Azure Dpsv5 Ampere VMs so popular.

Learn how AlmaLinux came to be, how it fits into the complex and changing “CentOS” ecosystem, and why the project uses Ampere platforms for their Arm64 builds.

Google NEXT’23, Google revealed the upcoming private preview of the new compute-optimized instance, C3A — powered by AmpereOne^™ processors.

An innovation in CPU architecture—Cloud Native Processors—is providing a viable alternative to the high cost and power consumption of x86 for AI inferencing.