Today SuperMicro announced the general availability of its SuperServer solutions optimized for NVIDIA Tesla P100 accelerators with the new Pascal GPU architecture.
Our high-performance computing solutions enable deep learning, engineering, and scientific fields to scale out their compute clusters to accelerate their most demanding workloads and achieve fastest time-to-results with maximum performance-per-watt, per-square-foot, and per-dollar,” said Charles Liang, President and CEO of Supermicro. “With our latest innovations incorporating the new NVIDIA P100 GPUs, our customers can accelerate their applications and innovations to solve the most complex real world problems.”
Supermicro’s density optimized 4U SuperServer 4028GR-TR(T)2 supports up to 10 PCI-E Tesla P100 accelerators for up to 210 TFLOPS FP16 peak performance with GPU Direct RDMA support. Supermicro’s innovative and GPU optimized single root complex PCI-E design is proven to dramatically improve GPU peer-to-peer communication efficiency over QPI and PCI-E links, with up to 21% higher QPI throughput and 60% lower latency compared to previous generation products. These 4U SuperServers support dual Intel Xeon processor E5-2600 v4/v3 product families, up to 3TB DDR4-2400MHz memory, optional dual onboard 10GBase-T ports, and redundant Titanium Level (96%) digital power supplies.
“Supermicro’s new high-density servers are optimized to fully leverage the new NVIDIA Tesla P100 accelerators to provide enterprise and HPC customers with an entirely new level of computing horsepower,” said Ian Buck, General Manager of the Accelerated Computing Group at NVIDIA. “The new SuperServers deliver superior energy-efficient performance for compute-intensive data analytics, deep learning and scientific applications while minimizing power consumption.”
With the convergence of Big Data Analytics, the latest GPU architectures, and improved Machine Learning algorithms, Deep Learning applications require processing power of multiple GPUs that must communicate efficiently and effectively to expand the GPU network. Supermicro’s single-root GPU system allows multiple GPUs to communicate efficiently to minimize latency and maximize throughput as measured by the NCCL P2PBandwidthTest.
In this video from ISC 2016, Brian Watson from Supermicro describes the company’s new innovative HPC solutions for the Intel Xeon Phi processor and the Nvidia Tesla P100 GPU.