NetMind Power

Train AI models using distributed computing power from a network of contributors, paying only for time used, with no-code fine-tuning and deployment options.
Decentralized AI Machine Learning Platform Distributed Computing AI Model Development

NetMind Power is a decentralized AI platform that aims to democratize machine learning by making it accessible to anyone. Anyone can join the network and contribute their GPUs in exchange for rewards in the form of NMT crypto tokens. The platform is designed to provide shared computing and AI model development capabilities.

Some of the key features include:

  • Distributed Training: Train models on the platform using compute from the network, paying only for the time used.
  • Google Colab Support: Write code in Google Colab, then create training jobs in NetMind Power.
  • No-Code Fine Tuning: Select from a library of base models, upload your dataset, and the platform does the rest.
  • Deploy and Inference: Deploy trained models for inference using batch prediction or live endpoints, and publish models for others to use and earn rewards.

The platform offers free $ credits to get started and also allows users to rent virtual machines or GPUs directly, with SSH access. Users can also add idle GPUs to the network to earn rewards. NetMind Power also has a community section for feedback, feature requests, and technical support.

Pricing isn't clearly defined, but users only pay for training time used, with no hidden fees. The platform uses NMT tokens for transactions, which can be earned by contributing computing power or used to pay for services like training, fine-tuning and inference.

NetMind Power's goal is to democratize machine learning by providing a decentralized, accessible platform to train, fine-tune and deploy models. The project is in beta testing, but you can join the community for updates, support and feature requests. Check the NetMind Power website for more information and to sign up.

Published on June 9, 2024

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