Rent NVIDIA H200 SXM Cloud Instances
📊 Pricing at a Glance
NVIDIA H200 SXM rental pricing ranges from $3.50/GPU/hr to $6.22/GPU/hr across 95 instances from 13 providers (updated June 2026).
Looking for a specific provider? See Ori NVIDIA H200 SXM, VERDA NVIDIA H200 SXM, or Vast.ai NVIDIA H200 SXM.
Available Offers
Compare the top 5 cheapest offers from 13 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Ori | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | Available | ||
 VERDA | NVIDIA H200 SXM 141GB VRAM | 141GB | 44 vCPU 182GB RAM | Helsinki | $4.00/GPU/hr | Available | ||
Ori | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available | ||
Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available | ||
VERDA | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 176 vCPU 740GB RAM | Helsinki | $4.00/GPU/hr $16.00/hr total (4×) | Available |
QuantaCloud
H-series supply is constrained.
Most providers are sold out through Q3 2026. If you need 16+ GPU reserved or cluster capacity in the next 90 days, we can quote B300 or remaining Hopper inventory within 24 hours.
Technical Specifications
Strengths & Limitations
- Exceptional memory bandwidth with HBM3e, enabling faster data processing.
- High compute performance for AI training and inference.
- SXM form factor allows for high-speed GPU-to-GPU communication.
- Optimized for large language models and generative AI workloads.
- Supports NVIDIA's comprehensive software stack, including CUDA and TensorRT.
- High cost compared to other GPUs.
- SXM form factor limits deployment options to compatible servers.
- High power consumption requires robust cooling solutions.
- May be overkill for smaller or less demanding workloads.
Top Use Cases
The H200's massive memory capacity and bandwidth are crucial for training large language models with billions of parameters. It enables faster iteration and improved model accuracy.
Scientific simulations, weather forecasting, and computational fluid dynamics benefit from the H200's high compute performance and memory bandwidth, accelerating complex calculations.
The H200 accelerates data processing and model training for various machine learning tasks, including image recognition, natural language processing, and fraud detection.
Real-World Benchmark
Market Analysis
The NVIDIA H200 SXM is positioned as a premium GPU for the most demanding AI and HPC workloads. Its high price reflects its advanced capabilities and target market. It competes with other high-end GPUs, such as the NVIDIA H100 and AMD Instinct MI300X, as well as future generation GPUs. The market for these high-performance GPUs is driven by the increasing demand for AI and data analytics, particularly in cloud computing and enterprise data centers.
Frequently Asked Questions
What is the difference between the H200 SXM and H100 SXM?â–¾
The H200 SXM features increased memory capacity and bandwidth compared to the H100 SXM, using HBM3e memory. This allows it to handle larger datasets and more complex models more efficiently.
What kind of power supply is required for a server with H200 SXM GPUs?â–¾
Servers with H200 SXM GPUs require high-wattage power supplies and robust cooling solutions due to the GPU's high power consumption. Consult the server manufacturer's specifications for detailed requirements.
What software frameworks are compatible with the H200 SXM?â–¾
The H200 SXM is compatible with NVIDIA's CUDA toolkit, TensorRT, and other popular machine learning frameworks such as TensorFlow, PyTorch, and MXNet.
Alternative GPUs
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