Generative AI

The New Standard Unit of Compute

In today’s AI-driven landscape, the measure of computing power comes from the synergy of interconnected GPUs, CPUs, memory, and storage—spanning across nodes and racks—that forms the backbone of modern artificial intelligence.

This advanced infrastructure demands:

  • Networks that are both swift and responsive
  • Meticulously engineered cooling systems
  • Power management to maintain peak performance and efficiency tailored to each data center’s needs.

Supermicro’s SuperCluster solution lays the essential groundwork for the swift development of Generative AI and Large Language Models (LLMs). This comprehensive, ready-to-deploy data center solution hastens the delivery timeline for vital enterprise applications and simplifies the once daunting task of assembling a large-scale cluster, a process traditionally marked by extensive design refinement and the meticulous fine-tuning associated with supercomputers.

With 32 NVIDIA HGX H100/H200 8-GPU, 4U Liquid-cooled Systems (256 GPUs) in 5 Racks

SRS-48UGPU-AI-LCSU

SYS-421GE-TNHR2-LCC/AS -4125GS-TNHR2-LCC

  • Doubling compute density through Supermicro’s custom liquid-cooling solution with up to 40% reduction in electricity cost for data center
  • 256 NVIDIA H100/H200 GPUs in one scalable unit
  • 20TB of HBM3 with H100 or 36TB of HBM3e with H200 in one scalable unit
  • 1:1 networking to each GPU to enable NVIDIA GPUDirect RDMA and Storage for training large language model with up to trillions of parameters
  • Customizable AI data pipeline storage fabric with industry leading parallel file system options
  • NVIDIA AI Enterprise Software Ready

With 32 NVIDIA HGX H100/H200 8-GPU, 8U Air-cooled Systems (256 GPUs) in 9 Racks

SRS-48UGPU-AI-ACSU

SYS-821GE-TNHR / AS -8125GS-TNHR 

  • Proven industry leading architecture for large scale AI infrastructure deployments
  • 256 NVIDIA H100/H200 GPUs in one scalable unit
  • 20TB of HBM3 with H100 or 36TB of HBM3e with H200 in one scalable unit
  • 1:1 networking to each GPU to enable NVIDIA GPUDirect RDMA and Storage for training large language model with up to trillions of parameters
  • Customizable AI data pipeline storage fabric with industry leading parallel file system options
  • NVIDIA AI Enterprise Software Ready

With 256 NVIDIA GH200 Grace Hopper Superchips, 1U MGX Systems in 9 Racks

SRS-MGX256-SU-001

ARS-111GL-NHR

  • Unified GPU and CPU memory for cloud-scale high volume, low-latency, and high batch size inference
  • 1U Air-cooled NVIDIA MGX Systems in 9 Racks, 256 NVIDIA GH200 Grace Hopper Superchips in one scalable unit
  • Up to 144GB of HBM3e + 480GB of LPDDR5X, enough capacity to fit a 70B+ parameter model in one node
  • 400Gb/s InfiniBand or Ethernet non-blocking networking connected to spine-leaf network fabric
  • Customizable AI data pipeline storage fabric with industry leading parallel file system options NVIDIA AI Enterprise software ready

Ready to get started?

If you are ready to take your Edge AI projects to the next level with DiGiCOR Solutions, don’t hesitate to contact us today. We are here to help you find the best solution for your needs and budget.

Don’t settle for less. Choose DiGiCOR Solutions for Edge AI today.


A Blueprint for LLM and Generative AI Infrastructure at Scale

What does AI Infrastructure entail, and how does Supermicro offer the blueprints for a future-proof approach?

Learn about the proven approach to AI infrastructure that will carry forward for the foreseeable future

Contact Us