Bittensor RPC Endpoint, API Service and Dedicated Nodes

TAO Bittensor: Decentralized Machine Learning

Connect to Bittensor in seconds with OnFinality RPC endpoints, request analytics, scalable rate limits, and 99.99% uptime for production Web3 apps. Deploy full, validator, and archive Bittensor nodes quickly and easily on our globally distributed, multi-cloud, one-click node solution. Use OnFinality's Lightning Restore to fully-sync your nodes in seconds instead of days!

TAO Bittensor: Decentralized Machine Learning

Create RPC Endpoint Deploy Dedicated Node

Bittensor RPC Endpoint

The below example uses the public API endpoint*. This endpoint is only suitable for testing. To avoid rate limiting and service interruption, sign up now to get your own API key.

Open In Polkadot JS

* The public endpoint is rate limited

RPC API Service

RPC API Features

ArchiveTrace

RPC Regions

Hong KongN.Virginia

Dedicated Nodes

Node Type

FullArchive

Lightning Restore

N.VirginiaHong Kong

Node Endpoints

JSON-RPCWebSocketsMetrics

Use OnFinality for Bittensor RPC endpoints, API access, dedicated Bittensor nodes, validator infrastructure, and TAO mining workloads. OnFinality supports Bittensor teams that need reliable RPC access, archive and trace capabilities, node monitoring, and a path from shared RPC APIs to dedicated infrastructure.

Bittensor is a new way to build AI, where many computers work as one:

Bittensor links computers across the globe to form a decentralized network. This network allows distributed computing power to develop and improve AI. Instead of one company being in charge, all participants work together to run the network.

There are two main roles in the network: miners and validators. Miners create AI models or share computing power, while validators check the quality of the miners' work. Both roles earn rewards for their contributions.

TAO is the network's native cryptocurrency. People earn TAO by mining, validating, or staking (helping secure the network). This reward system encourages participation and improvement.

One of the main goals of Bittensor is to let more people participate in AI development. Instead of only big tech companies creating AI, Bittensor allows anyone with a computer to contribute. This could lead to more diverse and innovative AI solutions.

Bittensor aims to make AI accessible beyond big tech companies. By allowing broader participation, the network brings in new ideas to AI development. This open model supports innovation through collective contribution.