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Bittensor (TAO)

Bittensor (TAO) Price | Market | Project Info | LBank

Bittensor is a P2P machine learning protocol that incentivizes participants to train and operate machine learning models in a distributed manner.

Last Updated Time: 2026-06-12 08:48:16

Real-Time Market Data

TAO

BittensorTAO

$213.40+5.28%
24h Volume
$125.66M
MC
$2.05B
Circulating Supply
$9.60M
Total Supply
$21.00M
View Full Market Data

Knowledge Graph

BittensorTAO
Market DataProject InformationData & PredictionsBuying Guide

Core Team & Investment Institutions

Core Team

Jacob Robert Steeves

Jacob Robert Steeves

Founder

Ala Shaabana

Ala Shaabana

Co-Founder

Robert Lee

Robert Lee

Head of Finance

Eugene (Yuqian) Hu

Eugene (Yuqian) Hu

Machine Learning Software Engineer

Historical Data

30-Day Price Trend Chart

Date
Open price
Upper Price
Lower Price
Close price
Change
2026-06-06
$211.36
$212.25
$187.49
$194.42
-0.07%
2026-06-07
$194.66
$198.04
$184.99
$193.55
0.00%
2026-06-08
$193.62
$216.45
$193.19
$213.36
+0.10%
2026-06-09
$213.73
$219.20
$207.30
$215.06
+0.00%
2026-06-10
$215.25
$218.43
$205.25
$206.23
-0.04%
2026-06-11
$210.10
$210.80
$197.70
$208.30
-0.02%
2026-06-12
$208.30
$218.00
$202.20
$213.40
0.00%
View Complete Historical Data

Price prediction

Moving Averages Explained: Moving averages are lines that represent the average price over a specific period, used to smooth price fluctuations and identify trend direction. When the price is above the moving average, it generally indicates an uptrend, while below indicates a downtrend. A short-term moving average crossing above a long-term moving average forms a Golden Cross (bullish), while crossing below forms a Death Cross (bearish). A bullish alignment (short-term > medium-term > long-term) indicates a strong uptrend, while a bearish alignment indicates the opposite.
View Complete Prediction Analysis

Risk Warning

Cryptocurrency trading is subject to high market risk and price volatility. Please invest cautiously. This page does not constitute investment advice.

Multi-currency Conversion Table

Open Calculator
Fiat
TAO
Exchange
USD
1
213.4
MXN
1
3,681.722
ZAR
1
3,479.763
IQD
1
279.319K
TWD
1
6,741.857
DOP
1
12,498.53
Fiat
TAO
Exchange
MYR
1
865.3374
UYU
1
8,618.391
GEL
1
565.5107
MAD
1
1,974.207
OMR
1
82.05379
SEK
1
2,017.776
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Step 2

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Step 3

Choose your cryptocurrency

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Bittensor (TAO) FAQ

Bittensor is a decentralized, open-source protocol that establishes a "marketplace for machine intelligence." It enables various AI models, known as "miners," to connect and collaboratively share knowledge. These contributions are rewarded, fostering an ecosystem where AI services and capabilities can be developed and exchanged without relying on a central authority. It essentially creates a global, peer-to-peer network for AI innovation and computational intelligence.
TAO features a strict tokenomics model mirroring Bitcoin's, with a hard cap of 21 million tokens. Its emission schedule includes a halving event approximately every four years, which reduces the rate at which new TAO enters circulation. The first halving for Bittensor is currently projected to occur in late 2025, an event anticipated to impact its supply dynamics similar to how Bitcoin's halvings influence its scarcity.
Yes, Bittensor prides itself on a "Fair Launch" model. This means there was no Initial Coin Offering (ICO), no pre-allocations for venture capitalists, and no designated "team tokens." Every single TAO token currently in circulation was earned exclusively through active participation in the network – either by mining, validating, or staking. This distribution method emphasizes community ownership and equitable access from the project's inception.
Correct, Bittensor's mining is fundamentally different from Bitcoin's energy-intensive cryptographic puzzle solving. In Bittensor, miners perform real-world AI tasks, such as generating text or images, performing data analysis, or executing other machine learning computations. This is referred to as "Proof of Intelligence." Miners are rewarded based on the perceived value and utility of their AI contributions to the network, as judged by validators, rather than raw computational power for hashing.
Subnets are specialized mini-networks operating within the broader Bittensor architecture. Each subnet is dedicated to specific, focused artificial intelligence tasks. For instance, one subnet might specialize in text generation, another in image creation, and yet another in data analysis or prediction. They operate with their own tailored rules, reward structures, and incentive mechanisms, allowing for modular development and optimization of diverse AI capabilities across the Bittensor network.