Overview
When you need to train a foundation model — or run inference at hyperscale — you don't build from scratch. You deploy a pre-integrated GPU server with everything pre-wired: 8 GPUs on a single NVLink/NVSwitch fabric, direct-attached NVMe storage, and high-speed networking. QS Compute sources the full range — from NVIDIA's own DGX line to Supermicro's validated GPU platforms.
These systems run from $150K to $500K+ depending on GPU and configuration. Lead times vary by model. We handle procurement, configuration, and global logistics. All systems ship factory-sealed with full warranty.
| Model | GPUs | GPU Memory | CPU | Form Factor | Cooling |
|---|---|---|---|---|---|
| NVIDIA DGX B200 | 8× B200 | Up to 1.4TB HBM3e | Dual Intel Xeon | 8U Rack | Liquid |
| NVIDIA DGX H200 | 8× H200 | 1.1TB HBM3e | Dual Intel Xeon | 8U Rack | Air / Liquid |
| SYS-821GE-TNHR | 8× H100/H200 | Up to 1.1TB HBM3e | Dual 5th Gen Xeon | 8U Rack | Air / Liquid |
| SYS-421GE-TNRT | 4× GPU | Configurable | Dual 5th Gen Xeon | 4U Rack | Air |
| SYS-221HE-FTNR | 2× GPU | Configurable | Dual Intel Xeon | 2U Rack | Air |
| AS-8125GS-TNMR2 | 8× GPU (AMD) | Configurable | Dual AMD EPYC | 8U Rack | Liquid Ready |
Product Line
NVIDIA DGX B200
Next-gen Blackwell architecture. 8×B200 GPUs with NVLink 5, purpose-built for trillion-parameter LLMs and multimodal AI. Liquid-cooled. Integrated NVIDIA networking (ConnectX-8, BlueField-4). The definitive platform for frontier AI training.
NVIDIA DGX H200
8×H200 GPUs with 141GB HBM3e each — 1.1TB total GPU memory. NVLink + NVSwitch fabric. 900 GB/s GPU-to-GPU bandwidth. Proven platform for GPT-class training, HPC, and scientific computing.
Supermicro SYS-821GE-TNHR
Dual 5th Gen Intel Xeon (up to 64 cores). 32 DIMM slots DDR5-5600. 12 NVMe hot-swap bays. 10 PCIe 5.0 slots. Choice of air or direct-to-chip liquid cooling. Same 8-GPU density as DGX at lower TCO.
Supermicro SYS-421GE-TNRT
4×GPU rack server. Compact 4U form factor. Dual 5th Gen Intel Xeon. Ideal for mid-scale training and high-throughput inference clusters.
Supermicro SYS-221HE-FTNR
2×GPU high-frequency compute node. Optimized for single-node AI inference with maximum clock speeds. 2U form factor for dense rack deployment.
Supermicro AS-8125GS-TNMR2
8×GPU AMD EPYC platform. 9004/9005 series processors. PCIe 5.0, DDR5, liquid cooling ready. Alt platform to Intel-based GPU servers for AMD ecosystem customers.
Use Cases
- LLM Training — Train 70B+ parameter models on 8-GPU nodes. Scale to clusters with NVLink + InfiniBand.
- Foundation Model Inference — Serve GPT-class models at production scale. 8×H200 delivers 1.1TB GPU memory pool for running large models without sharding.
- HPC & Scientific Computing — Molecular dynamics, CFD, weather modeling. Double-precision FP64 tensor cores for physics simulation.
- Multi-Modal AI — Video generation, omnimodal models, real-time translation. B200's massive compute for next-gen AI workloads.
Ready to deploy? Contact us with your workload and quantity. We'll provide lead time, pricing, and configuration options — typically within 8 hours.
Request GPU Server Quote →