Rent NVIDIA H100 SXM GPU by the hour
The NVIDIA H100 SXM is a Hopper-architecture datacenter GPU equipped with 80 GB of VRAM and a 700 W power envelope. It delivers about 53.5 TFLOPS of standard floating-point compute and a memory bandwidth of about 2869 GB/s, supporting CUDA compute capability 9.0. Rent it on Cloudj with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
80 GB
Architecture
NVIDIA Hopper
Compute capability
9
FP32 compute
≈ 53.5 TFLOPS
Memory bandwidth
≈ 2869 GB/s
Power limit
700 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 H100 SXM is good for
Large Language Model Inference
Deploy demanding language models into production using the 80 GB VRAM capacity and about 2869 GB/s of memory bandwidth via vLLM or Ollama templates.
Deep Learning Fine-Tuning
Train and fine-tune neural networks using the Hopper architecture and CUDA compute capability 9.0 with pre-configured PyTorch/CUDA environments.
High-Throughput Batch Processing
Run intensive data processing and simulation workloads that benefit from about 53.5 TFLOPS of compute performance in a 700 W datacenter form factor.
Heavy Generative Media Workflows
Execute complex ComfyUI pipelines and diffusion models with large batch sizes that fit comfortably within the 80 GB memory pool.
Is it the right GPU for you?
Choose the H100 SXM when your training or inference workloads require 80 GB of high-bandwidth datacenter memory and Hopper architecture features. A smaller workstation or consumer GPU is a more practical choice for lightweight development or small models, while a newer or higher-capacity datacenter GPU is preferable if a single instance cannot hold your entire model in 80 GB of VRAM.
Frequently asked questions
Rent the H100 SXM by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.