- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
Bitroot Testnet User Surpasses 200,000, Will Collaborate with Tencent Cloud to Advance Distributed AI Computing Power
BlockBeats News, July 10th, the first high-performance AI parallel public chain Bitroot announced that the number of addresses on its testnet has exceeded 200,000, with a daily average transaction volume of over 15,000, a TPS speed exceeding 100,000, covering users from multiple countries and regions around the world.
At the same time, Bitroot's official team also revealed that they will establish a strategic partnership with Tencent Cloud to explore and implement distributed AI computing power and on-chain model deployment. The two parties will promote the native integration of AI capabilities into the underlying infrastructure of the public chain, establishing technological collaboration in areas such as node distributed scheduling, on-chain model execution, and smart contract AI plug-ins.
As the first high-performance public chain project to deeply integrate AI into the execution layer design, Bitroot is committed to creating a next-generation Web3 infrastructure that combines "high throughput + high intelligence."
You may also like
The second half of stablecoins no longer belongs to the crypto circle
Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation
The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations
Is the income of pump.fun real, earning a million dollars a day despite the market downturn?
The real reason why tokens are not selling: 90% of crypto projects neglect investor relations
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.
Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K
Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?
Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.
AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition
When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer
Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1
$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor
App