Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
Stage
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Founded
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Based in
KG
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Pricing model
Paid
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Pricing
Pricing starts from $0.063/h for RTX 3060 Ti. Common cards: RTX 3090 at $0.316/h, RTX 4090 at $0.285/h, RTX 5090 at $0.832/h, A100 at $1.54/h, H100 at $3.88/h. A minute costs the hourly rate divided by 60. Minimum top-up is $2 through SBP or cryptocurrency.
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Key features
Per-minute billing with price fixed at server launch
Over 100 GPU models from RTX 3060 to H100, H200, B200, B300
Servers in 69 countries with region selection before launch
Ready templates: ComfyUI, Stable Diffusion Forge, Open WebUI, vLLM, Kohya SS, Ubuntu with CUDA
API and command-line tool for programmatic access
Telegram bot @gpunzbot for server management
Stopped servers not billed for GPU time, disk billed while it exists
Interruptible servers at lower cost for jobs with checkpoints
Server typically ready in 2-5 minutes
MCP server for AI agents like Claude and Cursor
forward_backward() operation for computing loss and accumulating gradients
optim_step() for updating the adapter
sample() for generating from current or saved policy
save_state() to save and resume training state
Tinker API compatibility
Separate trainer and sampler resources
Synchronous and asynchronous RL patterns
Frozen base model weights with LoRA adapter updates
Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
What makes it different
Billed per minute from the moment you start, no long-term commitment required
Minimum $2 top-up with cryptocurrency or Russian bank payment options
Drivers and CUDA pre-installed so servers start ready to use immediately
Live pricing updates every minute showing exact cost before launch
Managed training and sampling infrastructure, no setup required
Tinker-compatible API for easy migration
Ready-made SFT and RL recipes through Loops cookbook
gpu.nz
Loops