Performance
Intensive
Computing

Content creators in media and entertainment need lots of compute, storage and networking. Supermicro servers with AMD EPYC processors are enhancing the creativity of these content creators by offering improved rendering and high-speed storage. These systems empower the production of creative ideas.  

Your customers already have plenty of data. What they need now are insights. Supermicro, AMD and Cloudera are here to help.

Supermicro Inc. is celebrating its 30th year of research, development and manufacturing. At the company, formed in 1993, some things remain the same. Founder Charles Liang remains Supermicro’s president and CEO. And the company is still based in California’s Silicon Valley.

Catch up on the latest IT market research, surveys and forecasts. 

The intelligent edge has emerged as an essential component of the internet of things. By moving compute and storage close to where data is generated, the intelligent edge provides greater control, flexibility, speed and even security.

The intelligent edge moves compute, storage and networking capabilities close to end devices, where the data is being generated. Organizations gain the ability to process and act on that data in real time, and without having to first transfer that data to the a centralized data center.

Supermicro has introduced five Supermicro H13 WIO and short-depth servers powered by the new AMD EPYC 8004 Series processors. These servers are designed for intelligent edge and telco applications.

The new 4th gen AMD EPYC 8004 family extends the ‘Zen4c’ core architecture into lower-count processors with TDP ranges as low as 80W. The processors are designed especially for edge-server deployments and form factors.

Sales of AI semiconductors are poised for big growth. AI is transforming the data center. Sustainability services are hot. Manufacturers are saving big money with cloud. And Americans are surprisingly lacking in tech understanding.

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.