Rent an NVIDIA RTX 5060 Ti GPU with 16 GB VRAM
Rent RTX 5060 Ti cloud GPU servers by the hour on Cloudj: 16 GB VRAM, NVIDIA Blackwell and about 22.8 TFLOPS FP32 at a 180 W power limit. It is the entry to Blackwell with 16 GB of memory, for learners and creators who want SDXL, quantized Flux, 14B LLMs at 4-bit and small fine-tunes on current architecture. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.
RTX 5060 Ti specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 22.8 TFLOPS
Memory bandwidth
≈ 368 GB/s
Power limit
180 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 5060 Ti configurations and prices
From $0.17/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the RTX 5060 Ti cloud GPU
SDXL and quantized Flux
16 GB fits SDXL with add-ons and Flux in FP8 or GGUF form in ComfyUI.
14B LLMs at 4-bit
Run 8B at 8-bit or 14B at 4-bit in Ollama; 368 GB/s keeps one-user chat responsive.
QLoRA on small LLMs
Fine-tune 3B–8B models with Unsloth on Blackwell in BF16.
Blackwell compatibility testing
Check that your CUDA, PyTorch and inference stack runs on compute capability 12.0 before scaling up.
Is the RTX 5060 Ti the right GPU for your workload?
The RTX 5060 Ti suits developers needing 16 GB of VRAM and Blackwell architecture features for moderate inference, image generation, and prototyping. Choose a smaller GPU for basic scripts with minimal memory requirements, or step up to a larger consumer or datacenter GPU when your workloads demand more VRAM or higher memory bandwidth than about 368 GB/s.
RTX 5060 Ti vs similar cloud GPUs
Guides for RTX 5060 Ti
RTX 5060 Ti cloud GPU: frequently asked questions
Rent the RTX 5060 Ti cloud GPU by the hour
Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.