Accelerate your creativity with Free GPU VPS hosting. Optimized for Stable Diffusion XL, Forge, and DeepSeek-R1. No credit card required. Experience hardware-accelerated AI for 180 days.
Image generation and deep learning training require parallel processing. Our Free GPU VPS uses NVIDIA vGPU partitioning to deliver dedicated CUDA cores directly to your KVM instance. This ensures your Stable Diffusion renders happen in seconds, not minutes.
Deploy the Automatic1111 WebUI instantly on your GPU VPS with this command:
~2.5s / Image
512x512, 30 Steps, DPM++ 2M Karras
~18 Tokens/Sec
High-speed reasoning via Tensor acceleration
LoRA Ready
Fine-tune your own models with dedicated VRAM
Build AI agents that can actually *do* things. Our GPU nodes fully support MCP servers, allowing your hosted LLMs to interact with your local databases, file systems, and external webhooks in a secure, isolated environment.
~12s / Step
High-Fidelity Image Gen
~22 Tokens/s
Complex Reasoning Tasks
~4s / Frame
Generative Video Inference
Use our dedicated vGPU memory to train your own LoRA (Low-Rank Adaptation) models. Perfect for training your face into Stable Diffusion or fine-tuning Llama on your specific writing style.
Shared Docker containers with software-emulated GPUs. Result: Massive latency, websocket drops, and memory crashes.
True KVM Passthrough with dedicated PCIe lanes. Your bot gets direct hardware access to CUDA cores and VRAM.
PyTorch 2.4
TensorRT
CUDA 12.6
NVIDIA-Docker
JupyterLab
Our free trial provides a dedicated 4GB or 8GB vGPU partition (NVIDIA L4/A10), which is optimal for running Stable Diffusion 1.5, XL (Turbo), and quantized DeepSeek-R1 models.
Yes. Every instance supports CUDA 12.4+ and cuDNN. You can verify your acceleration instantly by running nvidia-smi in the terminal.
Drivers are pre-installed in our AI templates. However, with root access, you can manually update via apt install nvidia-driver-580 or the latest Data Center branch.
Absolutely. Our hardware-accelerated nodes are designed specifically for these WebUIs, supporting xformers for massive speed boosts in image generation.
We utilize GPU Passthrough (vGPU). While the physical card may be partitioned, your assigned VRAM and CUDA cores are 100% reserved and isolated from other users.
You can use the command watch -n 1 nvidia-smi to see real-time memory allocation and temperature while your AI models are processing.
Yes. Every GPU VPS includes a static public IP. You can expose ports like 7860 (Gradio) or 11434 (Ollama) to create a private AI cloud API.
The free tier is optimized for Inference. For LoRA training or large-scale fine-tuning, we recommend upgrading to our A100 clusters for higher VRAM throughput.
No. We utilize Persistence Mode on our NVIDIA drivers. The GPU remains initialized 24/7, ensuring sub-second response times for every prompt.
Yes. KVM virtualization provides hardware-level encryption and kernel isolation, ensuring your proprietary weights and datasets are 100% private.