Rent NVIDIA RTX 3060 laptop GPU by the hour
The NVIDIA RTX 3060 laptop is a consumer-segment GPU built on the Ampere architecture with compute capability 8.6. It provides 12 GB of VRAM, about 12.9 TFLOPS of single-precision compute, and about 299 GB/s of memory bandwidth within an 80 W power envelope. On Cloudj, you can rent this GPU with per-hour billing, SSH access, and ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
12 GB
Architecture
NVIDIA Ampere
Compute capability
8.6
FP32 compute
≈ 12.9 TFLOPS
Memory bandwidth
≈ 299 GB/s
Power limit
80 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 laptop is good for
Compact LLM Inference
Run quantized language models that fit within 12 GB of VRAM using pre-configured Ollama or vLLM templates.
Image Generation Workflows
Generate images and test diffusion pipelines using the ComfyUI template on an Ampere consumer GPU.
PyTorch Prototyping and Debugging
Develop and test machine learning code over SSH with the PyTorch/CUDA template and compute capability 8.6 support.
Lightweight Model Fine-Tuning
Perform parameter-efficient fine-tuning on small datasets where 12 GB of memory and about 299 GB/s of bandwidth are sufficient.
Is it the right GPU for you?
Choose the RTX 3060 laptop for entry-level development, testing, and inference workloads that fit into 12 GB of VRAM without needing high power draw. Opt for a larger desktop or datacenter GPU if you need higher memory bandwidth or more VRAM for large models, or a smaller GPU if your workload requires minimal graphics memory.
Frequently asked questions
Rent the RTX 3060 laptop by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.