Super Micro Computer, a specialist in enterprise computing, storage, networking solutions, has unveiled solutions for 5G cell tower deployments that leverage fully-configurable SuperServers based on 2nd Gen Intel Xeon Scalable processors, O-RAN compliant partner software and with the ability to operate in harsh environments.
One of the key elements to deep learning and training is lots of very dense compute, as well as the dense servers to go through the computation. Intel’s Nervana NNP-T Spring Crest silicon, which we saw at Hot Chips earlier this year, is the ‘big training silicon’ that came out of the acquisition with Nervana: a 680 mm2 built on TSMC 16nm with CoWoS with four stacks of HBM2.
Super Micro Computer, Inc. (SMCI) announced new solutions for 5G cell tower deployments leveraging fully-configurable SuperServers based on 2nd Gen Intel Xeon Scalable processors, O-RAN compliant partner software, and ability to operate in harsh environments.
These days, out of band management is a standard feature on servers. Supermicro offers an industry-standard solution for traditional management, including a WebGUI. This is based on the ASPEED AST2500 solution, a leader in the BMC field.
At SC19, Supermciro was out in full force. The company showcased a number of solutions, but there are two that we wanted to highlight after the show. One is an AMD EPYC 7002 series GPU server. The other is an Intel system with the new Intel Nervana NNP-T cards.
Super Micro Computer, a specialist in enterprise computing, storage, networking solutions, and green computing technology, is collaborating with Intel on AI solutions that are validated on the Intel Nervana Neural Network Processor for Training (NNP-T).
Dense, simple, and inexpensive storage solutions can sometimes be hard to come by, especially at scales of half a petabyte or more. If you ask for solutions from the top OEMs, depending on your storage needs, you’ll likely be presented with a 2U server with one or more HBAs to connect to additional 2U or 3U disk shelves to make up any large capacity requirements.