Rent NVIDIA RTX 4070 GPU by the hour
The NVIDIA RTX 4070 is a consumer-segment GPU built on the Ada Lovelace architecture, available to rent on Cloudj. It offers 12 GB of VRAM, a memory bandwidth of about 440 GB/s, and single-precision compute performance of about 29.3 TFLOPS within a 200 W power envelope. Supporting CUDA compute capability 8.9, this instance suits small-scale AI inference, image generation, and code development.
Specifications
VRAM per GPU
12 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 29.3 TFLOPS
Memory bandwidth
≈ 440 GB/s
Power limit
200 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 RTX 4070 is good for
Quantized LLM Inference
Run compact or quantized language models within the 12 GB VRAM buffer using ready templates like Ollama or vLLM.
Diffusion Image Generation
Generate images and test node workflows in ComfyUI leveraging the Ada Lovelace architecture and about 29.3 TFLOPS of compute.
PyTorch Prototyping and Debugging
Write, test, and debug deep learning scripts in a PyTorch/CUDA environment with compute capability 8.9 before scaling up.
Lightweight Model Fine-Tuning
Execute parameter-efficient fine-tuning on small datasets that fit comfortably inside 12 GB of memory at about 440 GB/s bandwidth.
Is it the right GPU for you?
The RTX 4070 is a practical choice for developers who need modern Ada Lovelace architecture features and 12 GB of VRAM for prototyping or moderate inference workloads. Select a GPU with more VRAM if your models or batch sizes exceed 12 GB, or opt for an older or smaller consumer GPU if you only run minimal testing scripts.
Frequently asked questions
Rent the RTX 4070 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.