Rent NVIDIA RTX 2070S GPU by the hour
The NVIDIA RTX 2070S is a consumer-segment GPU built on the Turing architecture with 8 GB of VRAM and compute capability 7.5. In Cloudj instances, it delivers about 8.8 TFLOPS of standard floating-point performance and about 366 GB/s of memory bandwidth within a 210 W power envelope. You can deploy it with per-hour billing, full SSH access, and ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
8 GB
Architecture
NVIDIA Turing
Compute capability
7.5
FP32 compute
≈ 8.8 TFLOPS
Memory bandwidth
≈ 366 GB/s
Power limit
210 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 2070S is good for
Compact LLM Inference
Run quantized small language models using Ollama or vLLM templates within the 8 GB VRAM capacity.
PyTorch Prototyping and Debugging
Develop and test deep learning code on a Turing GPU with compute capability 7.5 before scaling to larger hardware.
Lightweight Image Generation
Generate images with ComfyUI using standard diffusion pipelines that fit comfortably inside 8 GB of memory.
GPU Compute Workloads
Execute custom CUDA applications utilizing about 8.8 TFLOPS of single-precision compute and about 366 GB/s of memory bandwidth.
Is it the right GPU for you?
Choose the RTX 2070S for development, debugging, and lightweight inference tasks that fit within 8 GB of VRAM. Move to a GPU with more memory and higher compute capability for training large models, or pick a lower-power consumer card for basic script testing.
Frequently asked questions
Rent the RTX 2070S by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.