Run any AI model. On a real GPU.
24 GB and 48 GB VRAM available. ComfyUI, Automatic1111, LM Studio — no Linux, no cloud notebooks.
Supported AI tools
ComfyUI
Node-based Stable Diffusion workflows with full GPU acceleration
Automatic1111
The most popular Stable Diffusion interface
LM Studio
Run large language models locally — Llama, Mistral, Mixtral
Ollama
CLI-based LLM runner. Pull and run models in seconds.
Fooocus
Simplified Stable Diffusion — great for beginners
KoboldCpp
Run GGUF models with GPU offloading
InvokeAI
Professional Stable Diffusion toolkit
LoRA training
Fine-tune Stable Diffusion models with your own data
VRAM requirements by model
| Model | VRAM needed | Starter (12 GB) | Standard (24 GB) | Pro (24 GB) | Power (48 GB) |
|---|---|---|---|---|---|
| Stable Diffusion XL | 8–12 GB | Yes | Yes | Yes | Yes |
| Flux.1 (dev/schnell) | 12–24 GB | Tight | Yes | Yes | Yes |
| Llama 3 8B (Q4) | ~6 GB | Yes | Yes | Yes | Yes |
| Llama 3 70B (Q4) | ~40 GB | No | No | No | Yes |
| Mixtral 8x7B (Q4) | ~26 GB | No | Tight | Tight | Yes |
| SDXL LoRA training | 16–24 GB | No | Yes | Yes | Yes |
Why Windows for AI?
No command line required
Most AI tools now have native Windows GUIs. ComfyUI, LM Studio, and Fooocus all run with a simple double-click.
Full NVIDIA driver support
TurboGPU machines come with NVIDIA drivers pre-installed. CUDA and cuDNN work out of the box.
Use your existing workflow
If you already run AI tools on your Windows PC, TurboGPU is identical — just faster.