Agent Capabilities
Decentralized Inference
Decentralized Inference brings AI into the world of Web3 by enabling LLMs to run on a decentralized computing network, allowing anyone to contribute compute power, verify outputs, and access powerful AI without relying on a single provider. Empower your agent to tap into decentralized inference by using models from Hyperbolic or GaiaNet.
Hyperbolic Overview
- Provides an open and accessible platform for AI developers to access high-performance AI inference models.
- Leverages a decentralized network of underutilized GPUs, enabling access to more compute resources at lower costs than traditional cloud providers.
- Makes high-performance AI inference models accessible to a broader audience.
- Supports AI-powered Decentralized Autonomous Organizations (DAOs) and various applications within its ecosystem, including GPU staking, fractionalized GPU ownership, and reputation systems.
Hyperbolic Overview
- Provides an open and accessible platform for AI developers to access high-performance AI inference models.
- Leverages a decentralized network of underutilized GPUs, enabling access to more compute resources at lower costs than traditional cloud providers.
- Makes high-performance AI inference models accessible to a broader audience.
- Supports AI-powered Decentralized Autonomous Organizations (DAOs) and various applications within its ecosystem, including GPU staking, fractionalized GPU ownership, and reputation systems.
GaiaNet Overview
- A decentralized infrastructure where anyone can create and deploy AI agents, offering a contrasting approach to centralized AI platforms.
- Users can build and deploy AI agents with their own unique knowledge and expertise, enabling personalized AI solutions.
- Each GaiaNet node provides an OpenAI-compatible API, allowing users to easily integrate GaiaNet into existing AI agent frameworks or replace OpenAI API configurations.
- GaiaNet utilizes a tokenomics model that rewards knowledge contributors, model creators, and node operators, incentivizing participation and ensuring fair compensation for contributions.