Neuchips Partners with Vecow and GSH to Elevate Data Processing
In an exciting advancement for data processing technologies, Neuchips, a leading provider of Application-Specific Integrated Circuits (ASICs) for Artificial Intelligence (AI), has partnered with Vecow and Golden Smart Home's ShareGuru (GSH) just ahead of the Embedded World 2025 event. This collaboration is set to transform SQL data processing by introducing a solution that leverages offline Generative AI, promoting enhanced privacy and energy efficiency for businesses.
The aim of this partnership addresses a critical need in modern industries: to streamline the extraction of vital information from extensive databases while ensuring data security. CEO of Neuchips, Ken Lau, emphasized the significance of their collaboration, stating, "This partnership represents the future of industrial AI implementation. At Embedded World 2025, visitors will experience firsthand how our Viper AI accelerator cards can enhance Vecow's robust industrial edge computing systems and GSH’s innovative solutions."
The Viper series boasts energy efficiency of just 45 watts even while supporting models with up to 12 billion parameters. This level of power consumption makes it an appealing option for industries that require both performance and sustainability. The advanced AI capabilities that Viper offers complement the edge computing provided by Vecow, delivering secure data processing that adheres to the stringent demands of modern industrial environments.
Joseph Huang, the Executive Vice President of Vecow, shared insights on the collaboration, noting the swift demand for multimodal Large Language Models (LLM) and their application in Generative AI. With the rising complexity of databases and increasing scarcity of SQL knowledge, Neuchips and Vecow's solution aims to provide a seamless interface for users by allowing natural language queries to be converted into SQL commands. This not only enhances accessibility but also reduces reliance on specialized SQL expertise, thus lowering operational costs.
Their innovative solution utilizes the Vecow ECX-3100 RAG Edge inference workstation, which incorporates the ShareGuru QA 2.0 solution powered by the ShareGuru SLM platform. With this integration, human language can be employed to generate SQL queries, ensuring that users can retrieve information efficiently and securely without compromising on privacy. The offline capabilities of the Viper cards execute these procedures locally, significantly enhancing data security and privacy.
The collaboration is particularly timely in light of increasing cybersecurity concerns that many industries face. By providing a means to process sensitive data offline, Neuchips, Vecow, and GSH are setting new standards for data protection in AI applications. This secure processing enables real-time insights while ensuring the confidentiality of proprietary information.
Notably, the Viper series also features an expanded memory capacity of 32 GB and native compatibility with structured language models such as BF16. Launched at COMPUTEX 2024, Viper has already garnered attention for alleviating a significant portion of CPU resources required for generative AI tasks, thus enabling high performance without the substantial overhead typically associated with cloud-based GPU solutions.
Looking towards the future, Neuchips aims to further innovation in the ASIC domain by focusing on multimodal low-power devices, targeting performance improvements designed for the evolving requirements of AI applications. With a dedicated team and an unwavering commitment to cutting-edge technology, Neuchips is poised to lead the charge in the ongoing evolution of AI hardware.
As the event at Embedded World 2025 approaches, attendees are encouraged to visit Neuchips and Vecow at Hall 3, Booth 3-449, to witness firsthand how this partnership stands to redefine the landscape of database interactions with Generative AI integration.
For additional details, visit
Neuchips for insights into their latest offerings and how they are revolutionizing the AI hardware market.