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Neuchips Partners with Vecow and GSH for AI Innovations

In a groundbreaking collaboration ahead of Embedded World 2025, Neuchips, recognized as a leading developer of AI Application-Specific Integrated Circuits (ASICs), has joined forces with Vecow and Golden Smart Home (GSH). This partnership aims to revolutionize SQL data processing through a novel AI solution that emphasizes privacy, efficiency, and straightforward access to data via natural language queries.

The collaboration centers around Neuchips' advanced Viper series AI accelerator cards, designed to provide power efficiency while utilizing offline Large Language Models (LLMs). This means enterprises can benefit from enhanced security and privacy when handling sensitive information.

The Vision Behind the Partnership

Ken Lau, CEO of Neuchips, expressed his enthusiasm for the partnership, highlighting its potential to reshape industrial AI application. Visitors attending Embedded World at Vecow's booth can witness demonstrations of how the synergy between their technologies can deliver robust AI solutions tailored for modern industrial needs. The Viper AI accelerator card, with its capability to support models with up to 12 billion parameters while consuming only 45 Watts of power, is a game-changer for enterprises needing efficient data processing solutions.

Joseph Huang, Executive Vice President at Vecow, noted the escalating demand for multimodal LLMs correlated with the growth of generative AI applications. This collaboration emphasizes the development of RAG (Retrieval-Augmented Generation) solutions, allowing users to access recent data without the necessity of training models, which presents a cost-effective alternative to conventional cloud-based options.

Addressing Data Processing Challenges

The partnership tackles the growing complexity of databases, where delays in insights can be costly for businesses. With SQL experts in short supply and the use of online AI models often impractical due to data privacy concerns, Neuchips, Vecow, and GSH provide an ingenious solution. Their joint initiative employs Vecow's ECX-3100 RAG Edge AI Inference Workstation, which houses GSH's ShareGuru QA 2.0 solution powered by the ShareGuru SLM Platform, utilizing Neuchips' Viper series Gen AI card.

This innovative system facilitates the generation of SQL queries in natural language, significantly easing the process and reducing reliance on SQL expertise. Enterprises can expect not just efficiency and accessibility, but also enhanced data security, as Neuchips' offline processing capabilities ensure proprietary information is safeguarded.

Key Benefits of the Collaboration

The advantages of this groundbreaking solution are manifold:

• - Maximum privacy and security: Neuchips' offline cards ensure sensitive data is processed locally, enhancing data protection.
• - High accuracy: AI power validation for queries boosts the reliability of insights generated.
• - Outstanding power efficiency: The Viper series maintains high performance while consuming just 45 Watts with full model support.

Innovation in AI Hardware

Debuted at COMPUTEX 2024, Neuchips' Viper series is designed to release over 90% of CPU resources previously tied up in generative AI tasks, thereby unleashing the complete potential of LLMs. This series supports an impressive 32GB memory capacity, features native BF16 Structured Language Model support, and includes Neuchips' cutting-edge Raptor Gen AI accelerator chip first unveiled at CES 2024. Looking ahead, Neuchips is setting its sights on advancing low-power multi-modality ASICs to drive even greater performance improvements in the future.

About Neuchips

Positioned at the forefront of AI ASIC development, Neuchips is committed to creating specialized hardware for DLRM and LLM applications. With a strong team of professionals focused on innovation and active participation in industry organizations, Neuchips is well-prepared to lead the evolution of AI hardware, ushering in a new era of efficiency and high performance. For more information, visit Neuchips.