Today at Mobile World Congress in Barcelona, Spain, Super Micro Computer, Inc. (SMCI) announced new edge systems built for artificial intelligence (AI) and 5G workloads. These new solutions are designed to handle all the data volumes demanded by 5G using AI inferencing. Supermicro will be showcasing this technology at booth at Mobile World Congress 2019 in Barcelona, Spain, February 25-28, Booth #5J70.
Today at Mobile World Congress in Barcelona, Spain, Super Micro Computer, Inc. (SMCI) announced new edge systems built for artificial intelligence (AI) and 5G workloads. These new solutions are designed to handle all the data volumes demanded by 5G using AI inferencing. Supermicro will be showcasing this technology at booth at Mobile World Congress 2019 in Barcelona, Spain, February 25-28, Booth #5J70.
With all of the mobile and IoT devices entering the market, data at the edge is exploding. And while tons of benefits can be derived, many challenges rise up on how to handle this data, bandwidth congestion, lack of scalability, processing delays, data security and integrity, and compliance and privacy issues. There are certainly several challenges to struggle with, but it is also an opportunity for vendors such as Supermicro. The company is rolling out several solutions that, in their words, aim to transform enterprises and empower them with intelligent connectivity from IoT devices to the cloud.
The solutions announced here offer optional support for Intel Programmable Acceleration FPGA cards or graphics accelerators deliver local compute and AI inferencing. Though this inferencing customers will be able to converge the edge and cloud into one seamless data processing platform. Two of the new solutions include the Intel Xeon D-2100 CPU-based 1019D-16C-FHN13TP and 1019D-FRN5TP systems. Designed for the edge these systems deliver balanced compute, AI, storage and networking, support up to 37 LANs (both RJ45 and SFP ports), up to 16 cores, up the 512GB of DDR4 memory, up to four 10GbE LAN ports with RDMA support, and internal storage expansion options including mini-PCIe, M.2 and NVMe support as well as support for multiple FPGA and GPU acceleration cards for AI inferencing. These solutions can reach to other markets than AI and Edge including manufacturing, retail, oil and gas, healthcare, and smart cities.
Sign up for the StorageReview newsletter
