Pasar al contenido principal
Displaying 1 - 10 of 17

5 Reasons To Choose Supermicro for Your HPC Infrastructure

High performance computing (HPC) is used in many industries to solve complex physical problems. Simulation of mechanical systems, weather prediction, and the design of new drugs are just a few of the use cases for HPC. Depending on the use case, HPC systems are comprised of many servers, networked together and sharing information as the simulation progresses. An HPC application may require Large amounts of data, so fast storage and fast networking are necessary parts of an efficient solution. Supermicro is a leading provider of servers and storage systems for the HPC industry. Here are a few reasons customers choose Supermicro solutions for their HPC needs.
More

Supermicro Future Direction Based on the Intel Processor Roadmap

Supermicro is a leader in designing, manufacturing, and delivering a range of servers that address a wide range of workloads. Intel is a valuable partner of Supermicro and has publicly laid out a roadmap demonstrating the evolution of the data center. From general purpose CPUs, the latest (4th and 5th Gen Intel® Xeon® Scalable processors) offerings fit perfectly to the Accelerate Everything direction of Supermicro. It is now possible to design silicon that accelerates specific workloads, resulting in multiples of performance for these applications.

Supermicro continues to design, develop, and introduce systems that support our customers' need for accelerated performance and energy efficiency based on the new 5th Gen Intel Xeon Scalable processors and beyond.

More

The Case for On-Prem AI Data Centers

AI has become and will continue to be a dominant technology for enterprises worldwide. The technology to change business practices and make better decisions in a wide range of industries has led to an unprecedented demand for access to servers that can perform the AI process's training or inference phase. The AI infrastructure needed for the training phase can be significant in terms of cost, but a high end system (multiple CPUs and GPUs) may not always be the best choice. By implementing AI training within an enterprise's data center, organizations can reduce costs and become more productive and flexible at the same time.
More