TensorSpace (TPU) Tokenomics
TensorSpace (TPU) Information
Tensor Space: A Decentralized Platform for AI and ML Computing
##What is TensorSpace?
TensorSpace is a protocol that leverages the power of Bittensor, a decentralized machine learning network, to create a platform for AI/ML enthusiasts, developers, and researchers. TensorSpace allows users to lend and borrow GPUs, TPUs, and LPUs for various AI/ML purposes, such as training neural networks, natural language processing, computer vision, and more. Users can build and deploy no-code AI applications on top of Bittensor, using a user-friendly interface via TensorSpace enabling users to create their own custom GPT models, fine-tune them with their data, and share them with the world. TensorSpace also offers a liquidity staking protocol on $TAO, the native token of Bittensor. Users can stake their $TAO to earn dynamic $TAO, which can be used to purchase subnet tokens. Subnet tokens represent the ownership and governance rights of subnets, which are specialized AI-based applications running on Bittensor.
##Why TensorSpace?
Tensor Processor is a unique project that combines the benefits of blockchain technology, machine learning, and no-code development. By using TensorSpace, you can:
Access a variety of AI/ML computing resources at competitive prices, without relying on centralized providers or intermediaries. Contribute to the development and innovation of the decentralized machine learning network, and earn rewards for your valuable contributions. Create and launch your own no-code AI applications, without writing a single line of code or worrying about the technical details. Participate in the governance and speculation of subnets, and benefit from the growth of the AI economy.
TensorSpace (TPU) Tokenomics & Price Analysis
Explore key tokenomics and price data for TensorSpace (TPU), including market cap, supply details, FDV, and price history. Understand the token's current value and market position at a glance.
TensorSpace (TPU) Tokenomics: Key Metrics Explained and Use Cases
Understanding the tokenomics of TensorSpace (TPU) is essential for analyzing its long-term value, sustainability, and potential.
Key Metrics and How They Are Calculated:
Total Supply:
The maximum number of TPU tokens that have been or will ever be created.
Circulating Supply:
The number of tokens currently available on the market and in public hands.
Max Supply:
The hard cap on how many TPU tokens can exist in total.
FDV (Fully Diluted Valuation):
Calculated as current price × max supply, giving a projection of total market cap if all tokens are in circulation.
Inflation Rate:
Reflects how fast new tokens are introduced, affecting scarcity and long-term price movement.
Why Do These Metrics Matter for Traders?
High circulating supply = greater liquidity.
Limited max supply + low inflation = potential for long-term price appreciation.
Transparent token distribution = better trust in the project and lower risk of centralized control.
High FDV with low current market cap = possible overvaluation signals.
Now that you understand TPU's tokenomics, explore TPU token's live price!
TPU Price Prediction
Want to know where TPU might be heading? Our TPU price prediction page combines market sentiment, historical trends, and technical indicators to provide a forward-looking view.
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Disclaimer
Tokenomics data on this page is from third-party sources. MEXC does not guarantee its accuracy. Please conduct thorough research before investing.