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Own-GPU & Distributed Training

Connect the GPUs you already own and pool them into one training run — your hardware, combined.

Train Machine Learning Models on Your Own GPU

Connect your own GPU to TensorTurn with one command and train scikit-learn, PyTorch, Keras, or YOLO models free. Outbound-only agent, no ports to open.

A Distributed Training Platform for Your Own Machines

Combine your own machines into one training run on TensorTurn. Ensemble voting or fused DiLoCo-style weight-averaging, explained honestly.

Combine Multiple Computers for Machine Learning

Pool several laptops and desktops into one ML training run with TensorTurn. One-line agent, works across different networks, no port-forwarding.

Decentralized GPU Compute Without the Blockchain

Decentralized GPU compute on TensorTurn means your own GPU pool, not a web3 marketplace. No blockchain, single-tenant, data stays on your machines.