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GPU Cloud

GPU cloud for AI, LLMs and rendering

Rent NVIDIA GPU servers by the hour or by billing cycle. Compare live configurations and prices, start from a ready-made template and connect over SSH or the browser terminal.

Create a GPU serverSee current prices
  • Live GPU inventory with current prices
  • Templates for PyTorch, LLM serving and image generation
  • SSH and terminal access in the browser

With Cloudj GPU Cloud you rent a GPU server from the live inventory: choose the GPU model, VRAM and disk, start from a template such as PyTorch, vLLM, Ollama or ComfyUI, then connect over SSH. Hourly servers are charged from your account balance, and a stopped hourly server is only billed for its disk.

Available GPUs and current prices

Live inventory: availability and prices change with the market. The console confirms the final price before you order.

GPUVRAM per GPUArchitectureFP32 computePower limit
NVIDIA RTX PRO 6000 Max-Q 96 GBBlackwell≈ 119 TFLOPS300 WDetails →
NVIDIA RTX PRO 6000 WS 96 GBBlackwell≈ 119 TFLOPS600 WDetails →
NVIDIA RTX 5090 32 GBBlackwell≈ 107.6 TFLOPS575 WDetails →
NVIDIA RTX 5090D 32 GBBlackwell≈ 107.6 TFLOPS575 WDetails →
NVIDIA RTX PRO 6000 S 96 GBBlackwell≈ 93.6 TFLOPS600 WDetails →
NVIDIA RTX 4090 24 GBAda Lovelace≈ 81.4 TFLOPS450 WDetails →
NVIDIA RTX 6000Ada 48 GBAda Lovelace≈ 81.4 TFLOPS300 WDetails →
NVIDIA RTX 6000D 84 GBBlackwell≈ 77.6 TFLOPS600 WDetails →
NVIDIA L40S datacenter45 GBAda Lovelace≈ 73.3 TFLOPS350 WDetails →
NVIDIA RTX PRO 5000 48 GBBlackwell≈ 69.6 TFLOPS300 WDetails →
NVIDIA H100 SXM datacenter80 GBHopper≈ 53.5 TFLOPS700 WDetails →
NVIDIA RTX 5080 16 GBBlackwell≈ 53.4 TFLOPS360 WDetails →
NVIDIA RTX 4080S 16 GBAda Lovelace≈ 50.9 TFLOPS320 WDetails →
NVIDIA RTX 4080 16 GBAda Lovelace≈ 48.6 TFLOPS285 WDetails →
NVIDIA H100 NVL datacenter94 GBHopper≈ 48.3 TFLOPS400 WDetails →
NVIDIA H200 NVL datacenter140 GBHopper≈ 48.3 TFLOPS600 WDetails →
NVIDIA RTX 5070 Ti 16 GBBlackwell≈ 44.3 TFLOPS300 WDetails →
NVIDIA RTX PRO 4000 24 GBBlackwell≈ 44.3 TFLOPS145 WDetails →
NVIDIA RTX 4070S Ti 16 GBAda Lovelace≈ 42.6 TFLOPS285 WDetails →
NVIDIA H100 PCIE datacenter80 GBHopper≈ 41 TFLOPS350 WDetails →
NVIDIA RTX 4500Ada 24 GBAda Lovelace≈ 38.2 TFLOPS210 WDetails →
NVIDIA RTX 3090 Ti 24 GBAmpere≈ 36.4 TFLOPS450 WDetails →
NVIDIA RTX A6000 48 GBAmpere≈ 36.1 TFLOPS300 WDetails →
NVIDIA RTX 4070S 12 GBAda Lovelace≈ 35.8 TFLOPS220 WDetails →
NVIDIA RTX 3090 24 GBAmpere≈ 35.4 TFLOPS350 WDetails →
NVIDIA RTX 3080 Ti 12 GBAmpere≈ 35.1 TFLOPS350 WDetails →
NVIDIA A40 datacenter45 GBAmpere≈ 29.9 TFLOPS300 WDetails →
NVIDIA RTX 3080 10 GBAmpere≈ 29.5 TFLOPS380 WDetails →
NVIDIA RTX 4070 12 GBAda Lovelace≈ 29.3 TFLOPS200 WDetails →
NVIDIA L4 datacenter22 GBAda Lovelace≈ 24.2 TFLOPS72 WDetails →
NVIDIA RTX 5060 Ti 16 GBBlackwell≈ 22.8 TFLOPS180 WDetails →
NVIDIA RTX 4060 Ti 16 GBAda Lovelace≈ 21.6 TFLOPS165 WDetails →
NVIDIA RTX A4000 16 GBAmpere≈ 20.6 TFLOPS140 WDetails →
NVIDIA RTX 3070 8 GBAmpere≈ 19.8 TFLOPS220 WDetails →
NVIDIA RTX 3060 Ti 8 GBAmpere≈ 15.7 TFLOPS200 WDetails →
NVIDIA A100 PCIE datacenter40 GBAmpere≈ 15.6 TFLOPS250 WDetails →
NVIDIA A100 SXM4 datacenter40 GBAmpere≈ 15.6 TFLOPS400 WDetails →
NVIDIA A800 PCIE datacenter80 GBAmpere≈ 15.6 TFLOPS300 WDetails →
NVIDIA RTX 2080 Ti 11 GBTuring≈ 14.6 TFLOPS250 WDetails →
NVIDIA RTX 3060 laptop 12 GBAmpere≈ 12.9 TFLOPS80 WDetails →
NVIDIA Tesla V100 datacenter16 GBVolta≈ 12.5 TFLOPS300 WDetails →
NVIDIA CMP 170HX datacenter64 GBAmpere≈ 12.1 TFLOPS250 WDetails →
NVIDIA RTX 3060 12 GBAmpere≈ 12 TFLOPS170 WDetails →
NVIDIA Titan Xp 12 GBPascal≈ 11.7 TFLOPS160 WDetails →
NVIDIA RTX A2000 6 GBAmpere≈ 11.2 TFLOPS70 WDetails →
NVIDIA GTX 1080 Ti 11 GBPascal≈ 11 TFLOPS250 WDetails →
NVIDIA GTX 1080 8 GBPascal≈ 7.8 TFLOPS130 WDetails →
NVIDIA GTX 1070 Ti 8 GBPascal≈ 7.4 TFLOPS180 WDetails →
NVIDIA GTX 1650 4 GB≈ undefined TFLOPS WDetails →
NVIDIA Q RTX 8000 45 GBTuring≈ 11.9 TFLOPS250 WDetails →
NVIDIA Tesla P40 datacenter24 GBPascal≈ 9.4 TFLOPS250 WDetails →
NVIDIA RTX 2070S 8 GBTuring≈ 8.8 TFLOPS210 WDetails →
NVIDIA Q RTX 4000 8 GBTuring≈ 7.7 TFLOPS125 WDetails →
NVIDIA RTX 2070 8 GBTuring≈ 7.7 TFLOPS150 WDetails →
NVIDIA RTX 2060S 8 GBTuring≈ 7.5 TFLOPS175 WDetails →
NVIDIA GTX TITAN X 12 GBMaxwell≈ 6.8 TFLOPS150 WDetails →
NVIDIA RTX 2060 12 GBTuring≈ 6.5 TFLOPS130 WDetails →
NVIDIA GTX 1660 Ti 6 GBTuring≈ 5.3 TFLOPS120 WDetails →
NVIDIA GTX 1660 S 6 GBTuring≈ 3.6 TFLOPS125 WDetails →

Templates ready for your workload

LLM inference

vLLM, SGLang or Ollama with Open WebUI to serve and test language models.

Fine-tuning

Unsloth Studio for fine-tuning language models on your own data.

Image and video generation

ComfyUI for Flux, SDXL and video workflows.

PyTorch and CUDA development

PyTorch and Ubuntu 24.04 images with NVIDIA CUDA, accessible over SSH.

Desktop or full VM

An Ubuntu desktop in the browser, or a full KVM virtual machine when you need one.

How to rent a GPU

  1. 01

    Choose a template and disk size

  2. 02

    Pick a compatible GPU from the live inventory

  3. 03

    Confirm the price and create the server from your account balance

  4. 04

    Connect over SSH or the browser terminal

How GPU billing works

  • Hourly: the GPU is charged per hour while the server runs. A stopped hourly server is only charged for its disk.
  • Billing cycles: monthly, quarterly, semi-annual or yearly, with any discount shown before you pay.
  • Disk storage is charged per GB together with the GPU price.
  • Prices are in USD; you can display them in VND at the current exchange rate.

Frequently asked questions

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