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Nano Bit

4.19

-0.1100-2.56%

Post-market: 4.190.00000.00%18:12 EDT

Volume:4.19K

Turnover:17.56K

Market Cap:70.15M

PE:-2.18

High:4.40

Open:4.28

Low:4.00

Close:4.30

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Overview Company News Filings

Late-Trading Activity (4 p.m. - 6 p.m. Eastern Time)

Analysts Offer Insights on NA Companies: Proficient Auto Logistics, Inc. (PAL) and Solventum Corporation (SOLV)

Late-Trading Activity (4 p.m. - 6 p.m. Eastern Time)

Nano Labs Ltd (NA) Acquires 5% Stake in Weiheng Technology to Advance AI Compute-Storage Solutions

Nano Labs Invests In Weiheng Technology To Power AI Innovation

Nano Labs Acquires 5% Stake in Hangzhou Weiheng Technology

MT Newswires Live

BUZZ-Nano Labs rises after chip startup investment

Nano Labs Ltd - Announces 5% Stake in Weiheng Technology

THOMSON REUTERS

Nano Labs Invests in AI Asic Chip Startup, Collaborating With Deepseek to Drive the Future of AI Technology

THOMSON REUTERS

Nano Labs Invests in AI ASIC Chip Startup, Collaborating with DeepSeek to Drive the Future of AI Technology

Late-Trading Activity (4 p.m. - 6 p.m. Eastern Time)

Nano Labs to Hold Extraordinary Meeting on Capital and Voting Changes

Podcast: new Tesla Model Y launches in NA/EU, Rivian is popular, Trump’s effect on EVs, and more

Nano Labs Launches V2 Series to Revolutionize Home Crypto Mining

Nano Labs Announces Bitcoin Initiatives Through Subsidiary Nano Bit HK and Strategic Partnership With BitFi

Coherent Announces New Factor Series Diodes

Q4 2024 Zions Bancorporation NA Earnings Call

Thomson Reuters StreetEvents

Zions Bancorp NA (ZION) Q4 2024 Earnings Call Highlights: Strong Revenue Growth Amid Credit Concerns

Late-Trading Activity (4 p.m. - 6 p.m. Eastern Time)

Nano Labs Celebrates Trump’s Presidency with Token Purchase

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Weiheng Technology is engaged in the development of AI focused ASIC compute-storage chips for edge and endpoint computing as well as applications for large AI models, and its products can be integrated with DeepSeek's latest large models.Dr. Jianping Kong, Chairman and CEO of Nano Labs, commented, \"The evolution toward cost-performance optimization and practical deployment is expected to accelerate the adoption of AI models across industries such as consumer electronics, embodied intelligence, and intelligent vehicles, propelling the sector toward smarter and more efficient solutions. 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