X12 GPU with PCI-E
High Performance and Flexibility for AI/ML and HPC Applications
High performance AI/ML and HPC-optimized solution
Optimized for graphics and rendering
applications
Double the CPU to GPU throughput with
PCI-E 4.0
Dual socket Intel® Xeon® Scalable processors
up to 270W
NVIDIA GPUs supported
NVIDIA certified system
4U 10-GPU
Flexible Root Configuration, PCI-E GPU System
High density systems for double-width, full length PCI-E GPUs.
- 1U: support up to four PCI-E GPUs
- 2U: supporting up to six PCI-E GPUs
- 4U: supporting up to ten PCI-E GPUs
NVMe for lower latency with higher throughput.
New level of compute performance with Intel Xeon Scalable processors.
Key Applications
- AI/ML
- Deep Learning Training and
- Inference
- High-performance Computing (HPC)
- Rendering Platform for High-end
- Professional Graphics
- Best-in-Class VDI Infrastructure
- Platform
X12 GPU with HGX
High Performance and Flexibility for AI/ML and HPC Applications
Dense and scalable multi-GPU powerhouse
supports the latest HGX A100 8 SXM4 GPUs
Next generation of NVIDIA NVLink™, with double
the GPU-to-GPU direct bandwidth, almost 10X
higher than PCI-E 4.0
New NVIDIA NVSwitch that is 2X faster than the
previous generation
Networking up to 200G, GPUDirect RDMA and
GPUDirect Storage
AIOM slot (OCP 3.0 compliant) support
NVIDIA certified system
4U HGX A100 8-GPU
Integrated Performance
Maximum Acceleration X12 GPU System
With Supermicro’s advanced architecture and thermal design, including liquid cooling and custom heatsinks, our 4U GPU system drive NVIDIA’s latest HGX A100 8-GPU baseboard, can deliver up to 6x AI training performance and 7x inference workload capacity and highest density in a flexible 4U system.
Supermicro’s unique AIOM slots (OCP 3.0 compliant) and a slew of PCI-E 4.0 slots of these systems enhance the multi-GPU communication and high-speed data flow between systems at a large scale.
The X12 GPU systems feature the latest technology stacks such as 200G networking, NVIDIA NVLink and NVSwitch, 1:1 GPUDirect RDMA, GPUDirect Storage, and NVMe-oF on InfiniBand.
Key Applications
- AI/ML
- Deep Learning Training and
- Inference
- High-performance Computing (HPC)
- Building Block for Scalable AI
- Infrastructure
