GPU cloud: rent NVIDIA GPU servers by the hour
Rent NVIDIA GPU servers for LLM inference, fine-tuning and image generation. Live prices, per-minute billing from your balance, Ubuntu + CUDA and PyTorch + JupyterLab templates, SSH key access.
- Live inventory, price confirmed before you order
- Filter machines by country with two-letter codes
- A stopped instance is billed for storage only
With Cloudj GPU Cloud you rent a GPU server from the live inventory: choose the GPU model, count and disk, filter by country when location matters, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template, then connect over SSH with your key. Usage is billed per minute from your account balance, and a stopped instance is only billed for its storage.
GPU rental prices and live availability
Live inventory: availability and prices change with the market. The console confirms the final price before you order.
| GPU | VRAM per GPU | Architecture | FP32 compute | Power limit | From | |
|---|---|---|---|---|---|---|
| NVIDIA RTX PRO 6000 Max-Q | 96 GB | Blackwell | ≈ 119 TFLOPS | 300 W | From $1.62/h | Details → |
| NVIDIA RTX PRO 6000 WS | 96 GB | Blackwell | ≈ 119 TFLOPS | 600 W | From $1.77/h | Details → |
| NVIDIA RTX 5090 | 32 GB | Blackwell | ≈ 107.6 TFLOPS | 575 W | From $0.70/h | Details → |
| NVIDIA RTX 5090D | 32 GB | Blackwell | ≈ 107.6 TFLOPS | 575 W | Out of stock | Details → |
| NVIDIA RTX PRO 6000 S | 96 GB | Blackwell | ≈ 93.6 TFLOPS | 600 W | From $1.29/h | Details → |
| NVIDIA RTX 4090 | 24 GB | Ada Lovelace | ≈ 81.4 TFLOPS | 450 W | From $0.49/h | Details → |
| NVIDIA RTX 6000Ada | 48 GB | Ada Lovelace | ≈ 81.4 TFLOPS | 300 W | From $0.98/h | Details → |
| NVIDIA RTX 6000D | 84 GB | Blackwell | ≈ 77.6 TFLOPS | 600 W | Out of stock | Details → |
| NVIDIA L40S datacenter | 48 GB | Ada Lovelace | ≈ 73.3 TFLOPS | 350 W | Out of stock | Details → |
| NVIDIA RTX PRO 5000 | 48 GB | Blackwell | ≈ 69.6 TFLOPS | 300 W | From $0.76/h | Details → |
| NVIDIA H100 SXM datacenter | 80 GB | Hopper | ≈ 53.5 TFLOPS | 700 W | Out of stock | Details → |
| NVIDIA RTX 5080 | 16 GB | Blackwell | ≈ 53.4 TFLOPS | 360 W | From $0.49/h | Details → |
| NVIDIA RTX 4080S | 16 GB | Ada Lovelace | ≈ 50.9 TFLOPS | 320 W | Out of stock | Details → |
| NVIDIA RTX 4080 | 16 GB | Ada Lovelace | ≈ 48.6 TFLOPS | 285 W | Out of stock | Details → |
| NVIDIA H100 NVL datacenter | 94 GB | Hopper | ≈ 48.3 TFLOPS | 400 W | From $3.57/h | Details → |
| NVIDIA H200 NVL datacenter | 141 GB | Hopper | ≈ 48.3 TFLOPS | 600 W | From $4.38/h | Details → |
| NVIDIA RTX 5070 Ti | 16 GB | Blackwell | ≈ 44.3 TFLOPS | 300 W | Out of stock | Details → |
| NVIDIA RTX PRO 4000 | 24 GB | Blackwell | ≈ 44.3 TFLOPS | 145 W | From $0.26/h | Details → |
| NVIDIA RTX 4070S Ti | 16 GB | Ada Lovelace | ≈ 42.6 TFLOPS | 285 W | From $0.22/h | Details → |
| NVIDIA H100 PCIE datacenter | 80 GB | Hopper | ≈ 41 TFLOPS | 350 W | Out of stock | Details → |
| NVIDIA RTX 4500Ada | 24 GB | Ada Lovelace | ≈ 38.2 TFLOPS | 210 W | From $0.41/h | Details → |
| NVIDIA RTX 3090 Ti | 24 GB | Ampere | ≈ 36.4 TFLOPS | 450 W | Out of stock | Details → |
| NVIDIA RTX A6000 | 48 GB | Ampere | ≈ 36.1 TFLOPS | 300 W | From $0.53/h | Details → |
| NVIDIA RTX 4070S | 12 GB | Ada Lovelace | ≈ 35.8 TFLOPS | 220 W | Out of stock | Details → |
| NVIDIA RTX 3090 | 24 GB | Ampere | ≈ 35.4 TFLOPS | 350 W | From $0.26/h | Details → |
| NVIDIA RTX 3080 Ti | 12 GB | Ampere | ≈ 35.1 TFLOPS | 350 W | From $0.16/h | Details → |
| NVIDIA A40 datacenter | 48 GB | Ampere | ≈ 29.9 TFLOPS | 300 W | From $0.59/h | Details → |
| NVIDIA RTX 3080 | 10 GB | Ampere | ≈ 29.5 TFLOPS | 380 W | From $0.19/h | Details → |
| NVIDIA RTX 4070 | 12 GB | Ada Lovelace | ≈ 29.3 TFLOPS | 200 W | Out of stock | Details → |
| NVIDIA L4 datacenter | 24 GB | Ada Lovelace | ≈ 24.2 TFLOPS | 72 W | From $0.42/h | Details → |
| NVIDIA RTX 5060 Ti | 16 GB | Blackwell | ≈ 22.8 TFLOPS | 180 W | From $0.17/h | Details → |
| NVIDIA RTX 4060 Ti | 16 GB | Ada Lovelace | ≈ 21.6 TFLOPS | 165 W | From $0.14/h | Details → |
| NVIDIA RTX A4000 | 16 GB | Ampere | ≈ 20.6 TFLOPS | 140 W | From $0.11/h | Details → |
| NVIDIA RTX 3070 | 8 GB | Ampere | ≈ 19.8 TFLOPS | 220 W | Out of stock | Details → |
| NVIDIA RTX 3060 Ti | 8 GB | Ampere | ≈ 15.7 TFLOPS | 200 W | From $0.09/h | Details → |
| NVIDIA A100 PCIE datacenter | 40 GB | Ampere | ≈ 15.6 TFLOPS | 250 W | From $0.50/h | Details → |
| NVIDIA A100 SXM4 datacenter | 40 GB | Ampere | ≈ 15.6 TFLOPS | 400 W | From $0.81/h | Details → |
| NVIDIA A800 PCIE datacenter | 80 GB | Ampere | ≈ 15.6 TFLOPS | 300 W | Out of stock | Details → |
| NVIDIA RTX 2080 Ti | 11 GB | Turing | ≈ 14.6 TFLOPS | 250 W | From $0.10/h | Details → |
| NVIDIA RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | 80 W | Out of stock | Details → |
| NVIDIA Tesla V100 datacenter | 16 GB | Volta | ≈ 12.5 TFLOPS | 300 W | From $0.15/h | Details → |
| NVIDIA CMP 170HX datacenter | 64 GB | Ampere | ≈ 12.1 TFLOPS | 250 W | From $0.43/h | Details → |
| NVIDIA RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | 170 W | From $0.09/h | Details → |
| NVIDIA Titan Xp | 12 GB | Pascal | ≈ 11.7 TFLOPS | 160 W | Out of stock | Details → |
| NVIDIA RTX A2000 | 6 GB | Ampere | ≈ 11.2 TFLOPS | 70 W | From $0.07/h | Details → |
| NVIDIA GTX 1080 Ti | 11 GB | Pascal | ≈ 11 TFLOPS | 250 W | Out of stock | Details → |
| NVIDIA GTX 1080 | 8 GB | Pascal | ≈ 7.8 TFLOPS | 130 W | Out of stock | Details → |
| NVIDIA GTX 1070 Ti | 8 GB | Pascal | ≈ 7.4 TFLOPS | 180 W | Out of stock | Details → |
| NVIDIA GTX 1650 | 4 GB | ≈ undefined TFLOPS | W | Out of stock | Details → | |
| NVIDIA Q RTX 8000 | 48 GB | Turing | ≈ 11.9 TFLOPS | 250 W | From $0.27/h | Details → |
| NVIDIA Tesla P40 datacenter | 24 GB | Pascal | ≈ 9.4 TFLOPS | 250 W | Out of stock | Details → |
| NVIDIA RTX 2070S | 8 GB | Turing | ≈ 8.8 TFLOPS | 210 W | From $0.15/h | Details → |
| NVIDIA Q RTX 4000 | 8 GB | Turing | ≈ 7.7 TFLOPS | 125 W | From $0.13/h | Details → |
| NVIDIA RTX 2070 | 8 GB | Turing | ≈ 7.7 TFLOPS | 150 W | Out of stock | Details → |
| NVIDIA RTX 2060S | 8 GB | Turing | ≈ 7.5 TFLOPS | 175 W | Out of stock | Details → |
| NVIDIA GTX TITAN X | 12 GB | Maxwell | ≈ 6.8 TFLOPS | 150 W | Out of stock | Details → |
| NVIDIA RTX 2060 | 12 GB | Turing | ≈ 6.5 TFLOPS | 130 W | Out of stock | Details → |
| NVIDIA GTX 1660 Ti | 6 GB | Turing | ≈ 5.3 TFLOPS | 120 W | Out of stock | Details → |
| NVIDIA GTX 1660 S | 6 GB | Turing | ≈ 3.6 TFLOPS | 125 W | Out of stock | Details → |
What you can run on a rented GPU
LLM inference
Install vLLM, SGLang, Ollama or llama.cpp over SSH, or bring them in your own Docker image, to serve and test language models.
Fine-tuning
Fine-tune language models on your own data with PyTorch and libraries such as Unsloth or PEFT that you install yourself.
Image and video generation
Install ComfyUI or other diffusion tools for Flux, SDXL and video workflows.
PyTorch and CUDA development
Start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and work over SSH or in JupyterLab.
Headless rendering and video
Render with Blender or encode with FFmpeg from the command line; GPU instances have no graphical desktop.
How to rent a GPU server in 4 steps
- 01
Choose a GPU model and, if location matters, the countries to search
- 02
Pick a machine from the live list, then a template and disk size
- 03
Select your SSH key, confirm the price and deploy from your account balance
- 04
Connect over SSH with the host and port shown on the instance page
GPU cloud pricing and billing
- Per minute: a running instance is charged for the GPU and its disk from your account balance; a stopped instance is charged for storage only.
- Bandwidth is charged per GB downloaded and uploaded, at the price listed for the machine.
- The price shown when you deploy is locked for that instance. GPU instances have no monthly or yearly plans.
- Prices are in USD; you can display them in VND at the current exchange rate.