Rent an NVIDIA H200 NVL GPU with 141 GB VRAM
Rent H200 NVL cloud GPU servers by the hour on Cloudj: 141 GB VRAM, NVIDIA Hopper and about 3884 GB/s of memory bandwidth, the largest memory GPU in our lineup. It is built for teams serving 70B-class models at high precision or very long contexts, with 48.3 TFLOPS FP32 and a 600 W power limit. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.
H200 NVL specifications
VRAM per GPU
141 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.
Live H200 NVL configurations and prices
From $3.94/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the H200 NVL cloud GPU
70B-class models near full precision
141 GB holds a 70B model in 8-bit with large KV cache, or close to the 16-bit footprint, on a single GPU.
Long-context serving
3884 GB/s keeps decoding fast while the extra memory holds long prompts and many parallel sessions.
Fine-tuning 70B models with QLoRA
Run 70B QLoRA with longer sequences and bigger batches than an 80 GB card allows.
Mixture-of-experts experiments
MoE models have large total weights; 141 GB lets you load bigger expert sets for testing without sharding.
Is the H200 NVL the right GPU for your workload?
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 141 GB of memory, a smaller workstation or consumer GPU is a more practical choice.
Guides for H200 NVL
H200 NVL cloud GPU: frequently asked questions
Rent the H200 NVL cloud GPU by the hour
Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.