Rent NVIDIA RTX 3060 GPU by the hour
The NVIDIA RTX 3060 is a consumer-grade Ampere architecture GPU equipped with 12 GB of VRAM and a 170 W power limit. It delivers about 12.0 TFLOPS of standard floating-point performance and a memory bandwidth of about 318 GB/s, supporting CUDA compute capability 8.6. On Cloudj, you can rent the RTX 3060 with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
12 GB
Architecture
NVIDIA Ampere
Compute capability
8.6
FP32 compute
≈ 12 TFLOPS
Memory bandwidth
≈ 318 GB/s
Power limit
170 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 3060 is good for
Quantized LLM Inference
Run compact or quantized language models within the 12 GB VRAM envelope using pre-configured Ollama or vLLM templates.
Image Generation with ComfyUI
Execute standard diffusion workflows and image synthesis pipelines that comfortably fit inside 12 GB of memory.
PyTorch Prototyping and Debugging
Develop and test CUDA code on an Ampere card with compute capability 8.6 before scaling workloads to larger hardware.
Small-Scale Model Fine-Tuning
Perform parameter-efficient fine-tuning on modest datasets where about 12.0 TFLOPS of compute is sufficient.
Is it the right GPU for you?
Choose the RTX 3060 for development, prototyping, and lightweight inference tasks that require 12 GB of VRAM without the expense of datacenter hardware. Opt for a larger GPU if your models exceed 12 GB or require higher memory bandwidth than about 318 GB/s, or a smaller GPU if you only run minimal scripts with lower memory demands.
Frequently asked questions
Rent the RTX 3060 by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.