Super Micro has announced the doubling of GPU capabilities with a new 4U server supporting eight NVIDIA HGX A100 GPUs, massively increasing the potential performance of AI and machine learning workloads.
Supermicro now offers the industry's widest and deepest selection of GPU systems with the new NVIDIA HGX A100 8-GPU server to power applications from the Edge to the cloud. The entire portfolio includes 1U, 2U, 4U, and 10U rackmount GPU systems; Ultra, BigTwin, and embedded solutions powered by both AMD EPYC and Intel Xeon processors with Intel Deep Learning Boost technology.
‘Supermicro has introduced a new 4U system, implementing an NVIDIA HGX™ A100 8-GPU baseboard (formerly codenamed Delta), that delivers 6x AI training performance and 7x inference workload capacity when compared to current systems,’ said Charles Liang, CEO and president of Supermicro. ‘Also, the recently announced NVIDIA HGX™ A100 4-GPU board (formerly codenamed Redstone) is showing wide market acceptance, and we are excited by the ongoing global customer engagement. These new Supermicro systems significantly boost overall performance for accelerated workloads required for rapidly changing markets, including HPC, data analytics, deep learning training, and inference.’
Supermicro's latest servers include custom heatsinks and optional liquid cooling, the latest high-density 2U and 4U servers feature NVIDIA HGX A100 4-GPU 8-GPU baseboards, along with a new 4U server supporting eight NVIDIA A100 PCI-E GPUs . The Supermicro's Advanced I/O Module (AIOM) form factor further enhances networking communication with high flexibility.
The AIOM can be coupled with the latest high-speed, low latency PCI-E 4.0 storage and networking devices that support NVIDIA GPUDirect RDMA and GPUDirect Storage with NVME over Fabrics (NVMe-oF) on NVIDIA Mellanox InfiniBand that feeds the expandable multi-GPU system with a continuous stream of data flow without bottlenecks. In addition, Supermicro's Titanium Level power supplies keep the system green to realise even greater cost savings with the industry's highest efficiency rating of 96%, while allowing redundant support for the GPUs.
‘Supermicro systems powered by the NVIDIA A100 can quickly scale to thousands of GPUs or, using new multi-instance GPU technology, each A100 GPU can be partitioned into seven isolated GPU instances to run different jobs,’ said Paresh Kharya, senior director of Product Management and Marketing at NVIDIA. ‘NVIDIA A100 Tensor Core GPUs with TensorFloat 32 provides up to 20 times more compute capacity compared to the previous generation without requiring any code changes.’
Supermicro's advanced 2U design for HGX A100 4-GPU
This 2U system features the NVIDIA HGX A100 4-GPU baseboard with Supermicro's advanced thermal heatsink design to maintain the optimum system temperature under full load, all in a compact form factor. The system enables high GPU peer-to-peer communication via NVIDIA NVLink, up to 8TB of DDR4 3200Mhz system memory, five PCI-E 4.0 I/O slots supporting GPUDirect RDMA as well as allowing four hot-swappable NVMe with GPUDirect Storage capability.
Dense, versatile 4U design with HGX A100 8-GPU
The new 4U GPU system features the NVIDIA HGX A100 8-GPU baseboard, up to six NVMe U.2 and two NVMe M.2, ten PCI-E 4.0 x16 slots, with Supermicro's unique AIOM support invigorating the 8-GPU communication and data flow between systems through the latest technology stacks such as GPUDirect RDMA, GPUDirect Storage, and NVMe-oF on InfiniBand. The system uses NVIDIA NVLink and NVSwitch technology. It is ideal for large-scale deep learning training, neural network model applications for research or national laboratories, supercomputing clusters, and HPC cloud services.
Hyper-dense, energy-efficient 8U SuperBlade with 20 A100 PCI-E GPUs
The industry's highest density GPU blade server can support up to 20 nodes and 40 GPUs with two single-width GPUs per node, or one NVIDIA Tensor Core A100 PCI-E GPU per node in Supermicro's 8U SuperBlade enclosure. The 20 NVIDIA A100 GPUs in 8U elevates the density of computing power in a smaller footprint allowing customers to save on TCO. To support the GPU-optimised configuration and sustain the top performance and throughput needed for demanding AI applications, the SuperBlade provides a 100% non-blocking HDR 200Gb/s InfiniBand networking infrastructure to accelerate deep learning and enable real-time analysis and decision making. High density, reliability, and upgradeability make the SuperBlade a perfect building block for enterprise applications to deliver AI-powered services.
Industry's broadest portfolio of GPU accelerated systems
Supermicro continues its support of NVIDIA's advanced GPUs in various form factors, optimised for customers’ unique use case scenarios and requirements. The 1U GPU systems contain up to four NVIDIA GPUs with NVLink, including NEBS Level 3 certified, 5G/Edge-ready SYS- 1029GQ. Supermicro’s 2U GPU systems, such as SYS- 2029GP-TR, can support up to six NVIDIA V100 GPUs with dual PCI-E Root complex capability in one system. And finally, the 10U GPU servers, such as SYS- 9029GP-TNVRT, supports 16 V100 SXM3 GPU expansions with to Dual Intel Xeon Scalable processors with built-in AI acceleration.
The flexible range of solutions powered by NVIDIA GPUs and GPU software from the NVIDIA NGC™ ecosystem provides the right building blocks for diverse tasks for organisations addressing various verticals — from AI inferencing on developed models to HPC to high-end training.
