Report Identifies Key Environmental Trends and Opportunities to Improve Datacenter TCO with Resource-Saving Datacenter Designs

New family of Latency, Bandwidth, Density and Thermal Optimized solutions supporting new EDSFF form factor allow rack level pooling of NVMe resources to reduce costs and improve efficiency and utilization

Designed for AI, Deep Learning and HPC, Supermicro systems optimized with NVIDIA GPUs deliver unmatched performance to power the latest breakthroughs in autonomous vehicles, accelerated data science, healthcare, virtual reality and aerospace design

Industry’s Broadest Selection of HPC Systems on Display at SC18 Including Petascale All-Flash NVMe, BigTwin™, SuperBlade®, and GPU Systems for AI and Deep Learning

New Servers ranging from compact, cost-effective 1U platforms to powerful and efficient multi-node MicroCloud and MicroBlade™ Systems all supporting the new Intel® Xeon® E-2100 Processors (formerly codenamed Coffee Lake)

Powerful and Compact Systems Optimized for SD-WAN, uCPE, CDN and Security Applications supporting Intel® Xeon® Scalable processors, Intel® Xeon® D Processors and Intel® QuickAssist Technology with 1G, 10G and 25G Networking all available

Supermicro along with Apple and Amazon refute claims in Bloomberg story

Supermicro’s Resource-Saving Application-Optimized Systems Share Reaches 10% of Worldwide Data Center Market as Rapid Growth Continues

Inference-optimized system extends Supermicro’s leading portfolio of GPU Servers to offer customers an unparalleled selection of AI solutions for Inference, Training, and Deep Learning including Singe-Root, Dual-Root, Scale-up and Scale Out designs

Designed for the Next-Generation of AI, New HGX-2 System with 16 Tesla V100 GPUs and NVSwitch leverages over 80,000 Cuda Cores to deliver unmatched performance for deep learning and compute workloads