Core Insights - Tabnine announces support for NVIDIA's new Nemotron reasoning models, enhancing its AI-powered software development capabilities while addressing enterprise needs for accuracy, efficiency, and control [1][6] Group 1: Product Features - The Nemotron reasoning models provide intelligent, scalable, and cost-efficient solutions for enterprise applications, expanding Tabnine's portfolio of supported models [2] - Built on commercially viable datasets and optimized for NVIDIA Blackwell architecture, the Nemotron models, including NVIDIA Llama Nemotron Super 1.5 and NVIDIA Nemotron Nano 2, enable enterprises to create robust AI systems with advanced reasoning capabilities [3] - The models support high-throughput inference and can be deployed as NVIDIA NIM microservice containers, accommodating a wide range of enterprise customers, including cloud-native and on-premises environments [4] Group 2: Enterprise Impact - The integration of Nemotron models into Tabnine's platform allows enterprises to build and deploy intelligent agents more rapidly while maintaining privacy, control, and accuracy [4][5] - The models support up to 250 concurrent users on a single NVIDIA H100 GPU, improving the time-to-value for enterprise AI investments through faster token generation and lower total cost of ownership [4] Group 3: Strategic Collaboration - This announcement reinforces Tabnine's ongoing partnership with NVIDIA, which previously included support for NVIDIA NIM, enhancing containerized deployment capabilities for customers [6] - The collaboration emphasizes a shared commitment to delivering enterprise-grade AI solutions, with a focus on privacy-first and customizable AI [5][6] Group 4: Company Overview - Tabnine serves over one million monthly users and thousands of organizations, providing a secure and private AI coding assistant that integrates into all stages of the software development lifecycle [7]