Blogs

Explore the impact of AI on data centers and their energy and electricity consumption. Learn how CPUs can help mitigate these challenges.

For years, AI enthusiasts believed that powerful and costly GPUs are essential for training and running complex large language models (LLMs) like ChatGPT and Llama 2. But the landscape is changing

CloudFest ‘24 delivered an even bigger, more engaging live event experience in its 20th anniversary with more than 8,000 attendees. This being Ampere’s third year at CloudFest — the premier cloud industry event in the European region and beyond — there were themes both old and new that dominated the event from our perspective.

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.