概述
Data center GPU accelerators for AI training, large-scale inference, HPC, and professional visualization. NVIDIA H200, A100, RTX 6000 Ada, RTX 5090, and L40S — QS Compute supplies the full range with competitive lead times.
技术规格
| Model | Architecture | Memory | Peak Performance | TDP | Form Factor | Use Case |
|---|---|---|---|---|---|---|
| NVIDIA H200 | Hopper | 141 GB HBM3e | 3,958 TFLOPS (FP8) | 700W | SXM | LLM Training |
| HGX H200 | 8× Hopper | 1,128 GB HBM3e | 31,664 TFLOPS (FP8) | 8×700W | Baseboard | Exascale AI |
| A100 80GB | Ampere | 80 GB HBM2e | 312 TFLOPS (FP16) | 300W | PCIe/SXM | Multi-Instance GPU |
| RTX 6000 Ada | Ada Lovelace | 48 GB GDDR6 ECC | 91 TFLOPS (FP32) | 300W | PCIe 4.0 | Workstation AI |
| RTX 5090 | Blackwell | 32 GB GDDR7 | 104 TFLOPS (FP32) | 250W | PCIe 5.0 | AI Development |
| L40S | Ada Lovelace | 48 GB GDDR6 ECC | 91 TFLOPS (FP32) | 300W | PCIe 4.0 | Inference, Video |
主要特性
MIG
A100: up to 7 isolated GPU instances.
NVLink
H200: 900 GB/s interconnect.
ECC Memory
All data center GPUs include ECC.
vGPU
Share one GPU across VMs.
PCIe Gen5
RTX 5090: PCIe 5.0 x16.
Global Logistics
Sample units in 15 days.
应用场景
- AI/ML Training
- HPC Simulation
- Inference Serving
- Professional Visualization
- AI Development Workstations
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