If you want to join a network of computers and get rewarded for your GPU's work, NetMind Power is a good option. This decentralized AI platform lets you pool your GPUs and get paid in the form of NMT crypto tokens. It's got shared computing and AI model development abilities, including distributed training, integration with Google Colab and no-code fine-tuning. You can train models on the platform and pay only for what you use, and you can deploy trained models for inference. The platform offers free credits to get started and a community-focused approach with a forum for feedback and support.
Another interesting option is enqAI. The platform offers uncensorable and decentralized AI abilities, in particular for image and audio generation and large language models. Running an enqAI node means you can be rewarded with tokens for fulfilling inferences for people around the world. The platform comes with a proprietary unbiased large language model, Eridu, and offers unrestricted generative AI abilities, so it's good for a broad range of use cases including financial and medical data analysis, and content creation.
If you prefer a more token-based approach, Arbius is a decentralized peer-to-peer machine learning network. The platform uses a token with a continuous halving schedule and lets model creators set their own fees and reward distribution. You can participate in the network by paying for AI generations, earning fees through delegation, staking liquidity provider positions and validating the network. This open-source network with a DAO governance structure seeks to democratize AI by allowing permissionless interaction with AI models.