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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/SingularityNET
SingularityNET

SingularityNET

Founded by Ben Goertzel in 2017

Build, share, and monetize decentralized artificial intelligence services across open networks

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use SingularityNET to create, publish, and access decentralized artificial intelligence services across a distributed blockchain network. It lets you rent high-performance graphic processing units, launch custom artificial intelligence agents, and tap into machine learning models directly on decentralized infrastructure. Developers can build decentralized applications, coordinate complex computational tasks, and receive compensation for their models via cryptocurrency tokens. It also offers grant funding through community initiatives, giving creators the compute, resources, and governance support needed to develop autonomous systems collaboratively.

What SingularityNET does

Provision GPU compute instances for model trainingPublish an artificial intelligence service to the network catalogStake FET tokens to participate in consensusApply for community development grantsExecute inference calls against hosted machine learning endpointsDeploy autonomous agent workflows on decentralized infrastructureRent enterprise GPUs for machine learning inference and trainingDeploy and orchestrate autonomous software agents across decentralized nodesPublish machine learning models on a distributed marketplaceQuery models using peer-to-peer data indexing and consensusEarn cryptocurrency tokens for providing computing power or model accessAccess community project grants through the Deep Funding program

Pricing breakdown

Pricing model: Free tier, Paid

Frequently asked

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SingularityNET, Artificial Intelligence, Decentralized AI, GPU Cloud, AI Agents, ASI Alliance, Machine Learning, AGI Research, Smart Contracts, FET Token, Blockchain, Compute Sharing, Peer-to-Peer AI, Agentic AI, Deep Funding