Performance
Intensive
Computing

In Part 1 of this 2-part Tech Explainer, we explored the difference between how machine learning and deep learning models are trained and deployed. Now, in Part 2, we’ll get deeper into deep learning to discover how this advanced form of AI is changing the way we work, learn and create.

What’s the difference between machine learning and deep learning? That’s the subject of this 2-part Tech Explainer. Here, in Part 1, learn more about ML. 

Liquid cooling can offer big advantages over air cooling. According to a new Supermicro solution guide, these benefits include up to 92% lower electricity costs for a server’s cooling infrastructure, and up to 51% lower electricity costs for an entire data center.

The new 3Rs of green computing are reduce, reuse and recycle. 

In an interview, Oliver Tennert, director of HPC marketing and post-sales at NEC Germany, explains how the company keeps pace with a fast-developing market.

AMD and Supermicro are jointly offering high-performance AI alternatives with superior price and performance.

The ultimate goal of Green Computing is net-zero emissions. To get there, organizations can and must innovate, conducting an ongoing campaign to increase efficiency and reduce waste.

AMD strengthens its commitment to the cloud and enterprise data centers with new "Bergamo" CPUs, "Genoa-X" cache, Instinct accelerators.

Like a hockey team with players in different positions, an AI system with both a GPU and CPU is a necessary and winning combo. This mix of processors can bring you and your customers both the lower cost and greater energy efficiency of a CPU and the parallel processing power of a GPU. With this team approach, your customers should be able to handle any AI training and inference workloads that come their way.

With ChatGPT the newest star of tech, generative AI has emerged as a major market opportunity for traditional hardware and software suppliers. Here’s some of what you can expect from AMD and Supermicro.