Nano Labs' YangTuo LLM Workstation Successfully Completes DeepSeek Edge Deployment
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.
Nano Labs (Nasdaq: NA) ha annunciato il successo del deploy di DeepSeek sulla sua workstation YangTuo LLM, un dispositivo di inferenza AI basato sul modello open-source Llama. Questo deploy consente una gestione efficiente dei modelli grandi di DeepSeek, che arrivano a 671 miliardi.
La workstation YangTuo offre diversi vantaggi chiave:
- Modelli DeepSeek e strumenti di ottimizzazione pre-installati per un funzionamento plug-and-play
- Supporto per la scalabilità multi-GPU per modelli da 7B a 671B
- Facilità di switch tra modelli per diverse applicazioni
Questa integrazione unisce gli algoritmi di DeepSeek con il design industriale di Nano Labs per offrire soluzioni AI complete per istituzioni di ricerca, aziende e sviluppatori.
Nano Labs (Nasdaq: NA) anunció el exitoso despliegue de DeepSeek en su estación de trabajo YangTuo LLM, un dispositivo de inferencia de IA basado en el modelo de código abierto Llama. El despliegue permite el manejo eficiente de los modelos grandes de DeepSeek, que llegan hasta 671 mil millones.
La estación de trabajo YangTuo cuenta con varias ventajas clave:
- Modelos de DeepSeek y herramientas de optimización preinstaladas para una funcionalidad plug-and-play
- Soporte de escalabilidad multi-GPU para modelos de 7B a 671B
- Facilidad para cambiar entre modelos para distintas aplicaciones
Esta integración combina los algoritmos de DeepSeek con el diseño industrial de Nano Labs para proporcionar soluciones de IA integrales para instituciones de investigación, empresas y desarrolladores.
나노랩스 (Nasdaq: NA)는 양투오 LLM 워크스테이션에서 DeepSeek의 성공적인 배포를 발표했습니다. 이는 Llama 오픈 소스 모델을 기반으로 한 AI 추론 장치입니다. 이 배포는 DeepSeek의 671B 대규모 모델을 효율적으로 처리할 수 있게 해줍니다.
양투오 워크스테이션은 여러 가지 주요 장점을 제공합니다:
- 플러그 앤 플레이 기능을 위한 사전 설치된 DeepSeek 모델과 최적화 도구
- 7B에서 671B까지의 모델을 위한 다중 GPU 확장 지원
- 다양한 응용 프로그램을 위한 쉬운 모델 전환 기능
이 통합은 DeepSeek의 알고리즘과 나노랩스의 산업 디자인을 결합하여 연구 기관, 기업 및 개발자를 위한 종합적인 AI 솔루션을 제공합니다.
Nano Labs (Nasdaq: NA) a annoncé le déploiement réussi de DeepSeek sur sa station de travail YangTuo LLM, un dispositif d'inférence IA basé sur le modèle open-source Llama. Ce déploiement permet de gérer efficacement les modèles massifs de DeepSeek, atteignant jusqu'à 671 milliards.
La workstation YangTuo présente plusieurs avantages clés :
- Modèles DeepSeek et outils d'optimisation préinstallés pour une fonctionnalité plug-and-play
- Soutien à l'évolutivité multi-GPU pour des modèles de 7B à 671B
- Facilité de changement de modèle pour diverses applications
Cette intégration allie les algorithmes de DeepSeek et le design industriel de Nano Labs pour offrir des solutions IA complètes aux institutions de recherche, entreprises et développeurs.
Nano Labs (Nasdaq: NA) hat die erfolgreiche Implementierung von DeepSeek auf seiner YangTuo LLM-Arbeitsstation angekündigt, einem KI-Infektionsgerät, das auf dem Open-Source-Modell Llama basiert. Die Implementierung ermöglicht die effiziente Verarbeitung der 671B großen Modelle von DeepSeek.
Die YangTuo-Arbeitsstation bietet mehrere wichtige Vorteile:
- Vorinstallierte DeepSeek-Modelle und Optimierungstools für Plug-and-Play-Funktionalität
- Unterstützung für Multi-GPU-Skalierung für Modelle von 7B bis 671B
- Einfache Modellwechselmöglichkeiten für verschiedene Anwendungen
Diese Integration kombiniert die Algorithmen von DeepSeek mit dem Industriedesign von Nano Labs, um umfassende KI-Lösungen für Forschungseinrichtungen, Unternehmen und Entwickler anzubieten.
- Successfully deployed DeepSeek's 671B large models on YangTuo workstation
- Versatile model support ranging from 7B to 671B
- Multi-GPU scaling capabilities
- None.
Insights
The successful deployment of DeepSeek's 671B parameter models on Nano Labs' YangTuo workstation marks a significant technical achievement in edge AI computing. This development is particularly noteworthy as it addresses several critical market demands: local AI deployment, reduced cloud dependency and flexible scaling capabilities.
The technical implications are substantial. Handling models up to 671B parameters at the edge represents a major leap forward in distributed AI computing. This capability could significantly reduce the total cost of ownership for enterprises by minimizing cloud computing expenses and data transfer costs. The plug-and-play functionality also addresses a important market pain point by simplifying the deployment process, potentially accelerating enterprise AI adoption.
From a market perspective, this positions Nano Labs strategically in the rapidly growing edge AI hardware segment. Key differentiators include:
- Multi-GPU scaling support, enabling flexible deployment across various use cases
- Pre-installed optimization tools, reducing implementation complexity
- Support for multiple model scales, providing deployment versatility
While the announcement demonstrates technical prowess, the commercial success will largely depend on:
- Pricing strategy and total cost of ownership compared to cloud alternatives
- Performance metrics and real-world efficiency gains
- Channel partnerships and enterprise adoption rates
This development could potentially accelerate Nano Labs' market penetration in the enterprise AI hardware segment, particularly as organizations seek to balance computational capabilities with data privacy and cost considerations. However, the highly competitive nature of the AI hardware market and the rapid pace of technological advancement will require continued innovation to maintain any competitive advantage gained.
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
* 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
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SOURCE Nano Labs Ltd
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