Rent NVIDIA H200 NVL GPU by the hour
The NVIDIA H200 NVL is a Hopper-architecture datacenter GPU built for memory-intensive workloads, offering 140 GB of VRAM and a memory bandwidth of about 3884 GB/s. It operates at a 600 W power envelope, supports compute capability 9.0, and delivers about 48.3 TFLOPS of standard floating-point compute. You can deploy this processor on Cloudj with per-hour billing, direct SSH access, and ready templates.
Specifications
VRAM per GPU
140 GB
Architecture
NVIDIA Hopper
Compute capability
9
FP32 compute
≈ 48.3 TFLOPS
Memory bandwidth
≈ 3884 GB/s
Power limit
600 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
Live stock and prices, updated continuously. The final price is confirmed before you order.
Rent nowWhat the H200 NVL is good for
Large Language Model Inference
Run large models in memory without sharding, taking advantage of the 140 GB VRAM capacity and about 3884 GB/s of memory bandwidth.
Model Fine-Tuning and Training
Train and adapt deep learning models using Hopper compute capability 9.0 and spacious GPU memory for large batch sizes.
High-Throughput Batch Processing
Process massive datasets and long context windows efficiently using pre-configured PyTorch/CUDA, vLLM, or Ollama templates.
Scientific Computing and Simulation
Execute complex datacenter simulations that require about 48.3 TFLOPS of standard floating-point performance and substantial onboard memory.
Is it the right GPU for you?
Choose the H200 NVL when your primary bottleneck is VRAM capacity and memory bandwidth, particularly for hosting large models on a single card. If you are running lighter inference, standard image generation, or development tasks that do not require 140 GB of memory, a smaller workstation or consumer GPU is a more practical choice.
Frequently asked questions
Rent the H200 NVL by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.