Rent NVIDIA RTX 4060 Ti GPU by the hour
The NVIDIA RTX 4060 Ti is a consumer-segment GPU based on the Ada Lovelace architecture with compute capability 8.9. It combines 16 GB of VRAM with about 21.6 TFLOPS of standard floating-point compute and a memory bandwidth of about 236 GB/s. Operating at a 165 W thermal design power, you can rent this GPU on Cloudj with per-hour billing and full SSH access.
Specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 21.6 TFLOPS
Memory bandwidth
≈ 236 GB/s
Power limit
165 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 4060 Ti is good for
Quantized LLM Inference
Run small and medium language models that fit comfortably inside the 16 GB VRAM envelope using ready Ollama or vLLM templates.
Image Generation Workflows
Execute diffusion pipelines and custom node graphs in ComfyUI, using the Ada Lovelace architecture and 16 GB memory capacity for high-resolution outputs.
Model Prototyping and Development
Write, debug, and test machine learning code using pre-configured PyTorch/CUDA templates before scaling scripts to larger hardware.
Parameter-Efficient Fine-Tuning
Perform lightweight adapter training and LoRA experiments where the 16 GB memory capacity is prioritized over maximum memory bandwidth.
Is it the right GPU for you?
Pick the RTX 4060 Ti if your workload requires a 16 GB VRAM buffer for model weights on an Ada Lovelace card without needing heavy compute density. Choose a smaller GPU for basic scripts with minimal memory requirements, or step up to a larger consumer or datacenter GPU if your workflow is bottlenecked by the about 236 GB/s memory bandwidth and about 21.6 TFLOPS of compute.
Compare with similar GPUs
Frequently asked questions
Rent the RTX 4060 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.