Carnot AI's Jinba accepted into NVIDIA Inception

Carnot's acceptance into NVIDIA Inception comes as demand grows for running AI models inside on-premises environments and private clouds, driven by requirements around confidential data management, response speed and inference costs. The company positions this local inference need as the reason for deepening ties with infrastructure and technology partners. Jinba itself is built to connect enterprise data and business systems with AI, with features such as access control, audit logs and on-premises or private-cloud deployment. Carnot says the platform has been adopted by companies in industries including finance, manufacturing, trading and insurance, including firms listed on the Tokyo Stock Exchange Prime Market. Through the program, Carnot plans to use NVIDIA's technical resources and network to verify response performance and inference cost optimization, and to strengthen deployment and operations support for customers with specific data management and security requirements.