Nano Labs' YangTuo LLM Workstation Successfully Completes DeepSeek Edge Deployment

Rhea-AI Summary

Nano Labs (Nasdaq: NA) announced the successful deployment of DeepSeek on its YangTuo LLM workstation, an AI inference device based on the Llama open-source model. The deployment enables efficient handling of DeepSeek's 671B large models.

The YangTuo workstation features several key advantages:

• Pre-installed DeepSeek models and optimization tools for plug-and-play functionality
• Multi-GPU scaling support for models from 7B to 671B
• Easy model switching capabilities for various applications

This integration combines DeepSeek's algorithms with Nano Labs' industrial design to provide comprehensive AI solutions for research institutions, enterprises, and developers.

AI-generated analysis. Not financial advice.

Positive

• Successfully deployed DeepSeek's 671B large models on YangTuo workstation
• Versatile model support ranging from 7B to 671B
• Multi-GPU scaling capabilities

Negative

• None.

News Market Reaction – NA

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+3.29% News Effect

On the day this news was published, NA gained 3.29%, reflecting a moderate positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

HONG KONG, Feb. 11, 2025 /PRNewswire/ -- Nano Labs Ltd (Nasdaq: NA) ("we," the "Company," or "Nano Labs"), a leading fabless integrated circuit design company and product solution provider in China, today announced that its flagship AI inference device, YangTuo LLM workstation ("YangTuo"), has successfully completed the deployment of DeepSeek.

As a leader in AI hardware innovation, Nano Labs continues to drive leading-edge advancements and has now leveraged its innovative hardware architecture and advanced software optimization to achieve efficient deployment of DeepSeek's 671B large models on the YangTuo, an edge inference device based on the Llama open-source model.

Key Advantages of YangTuo

• Plug-and-Play and Rapid Deployment: Pre-installed with DeepSeek models and optimization tools, enabling out-of-the-box functionality without complex configurations.
• Flexible Expansion and Wide Adaptability: Supports multi-GPU scaling, seamlessly handling deployment requirements for models ranging from 7B to 671B.
• Intuitive Operation and Smart Switching: Users can easily switch between models of different scales, adapting flexibly to various application scenarios.

YangTuo represents a deep integration of AI hardware and large models. By combining DeepSeek's algorithms with Nano Labs' advanced industrial design, Nano Labs provides comprehensive AI solutions for research institutions, enterprises, and developers, from computational power support to intelligent enablement.

Nano Labs remains committed to AI hardware and computing power innovation, leveraging its world-class R&D capabilities to empower the industry and shape the future of intelligent inference.

About Nano Labs Ltd

Nano Labs Ltd is a leading fabless integrated circuit ("IC") design company and product solution provider in China. Nano Labs is committed to the development of high throughput computing ("HTC") chips, high performance computing ("HPC") chips, distributed computing and storage solutions, smart network interface cards ("NICs") vision computing chips and distributed rendering. Nano Labs has built a comprehensive flow processing unit ("FPU") architecture which offers solution that integrates the features of both HTC and HPC. Nano Lab's Cuckoo series are one of the first near-memory HTC chips available in the market*. For more information, please visit the Company's website at: https://ir.nano.cn/.

* According to an industry report prepared by Frost & Sullivan.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements include, without limitation, the Company's plan to appeal the Staff's determination, which can be identified by terminology such as "may," "will," "expect," "anticipate," "aim," "estimate," "intend," "plan," "believe," "potential," "continue," "is/are likely to" or other similar expressions. Such statements are based upon management's current expectations and current market and operating conditions, and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and many of which are beyond the Company's control, which may cause the Company's actual results, performance or achievements to differ materially from those in the forward-looking statements. Further information regarding these and other risks, uncertainties or factors is included in the Company's filings with the Securities and Exchange Commission. The Company does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under law.

For investor inquiries, please contact:

Nano Labs Ltd
ir@nano.cn 

Ascent Investor Relations LLC
Tina Xiao
Phone: +1-646-932-7242
Email: investors@ascent-ir.com

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SOURCE Nano Labs Ltd

FAQ

What is the significance of Nano Labs (NA) deploying DeepSeek on YangTuo workstation?

The deployment enables efficient handling of DeepSeek's 671B large models on YangTuo, providing plug-and-play functionality and comprehensive AI solutions for research institutions, enterprises, and developers.

What are the key features of Nano Labs' (NA) YangTuo LLM workstation?

YangTuo features pre-installed DeepSeek models, multi-GPU scaling support for models from 7B to 671B, and easy model switching capabilities for various applications.

What is the model capacity range supported by Nano Labs' (NA) YangTuo workstation?

YangTuo supports deployment requirements for models ranging from 7B to 671B, offering flexible expansion and wide adaptability.

How does Nano Labs (NA) YangTuo workstation benefit enterprise users?

YangTuo offers plug-and-play functionality, pre-installed models, intuitive operation, and smart switching between different model scales, making it easily adaptable to various business applications.