Tabnine, the pioneer in AI-powered software development, has expanded its capabilities by integrating the newly launched NVIDIA Nemotron reasoning models. This move strengthens Tabnine’s mission to deliver the most advanced AI models while addressing enterprise demands for accuracy, efficiency, and control.

With the addition of the Nemotron models, Tabnine now offers enterprises more intelligent, scalable, and cost-efficient AI solutions. Nemotron stands out as a high-performance choice for teams building sophisticated software in secure, self-hosted, or hybrid environments.

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The Nemotron family—including NVIDIA Llama Nemotron Super 1.5 and NVIDIA Nemotron Nano 2—is built using open, commercially accessible datasets and designed to take full advantage of NVIDIA’s latest Blackwell architecture. Together, they give businesses the power to create strong, reliable AI systems that can act intelligently and independently. These models deliver powerful reasoning capabilities while ensuring efficient compute performance. By incorporating Nemotron into its enterprise AI platform, Tabnine helps customers create smarter AI agents while giving them better control, improved performance, and greater efficiency throughout the entire software development process.

Highlighting the significance of this breakthrough, Dror Weiss, CEO and Co-founder of Tabnine, said, “Reasoning is the next frontier in developer productivity, and the NVIDIA Nemotron models help us cross that threshold.”. By merging Tabnine’s secure, fine-tuned AI platform with Nemotron’s top-tier performance, we’re helping businesses create and launch smart AI agents more quickly—while keeping privacy, control, and accuracy intact.”

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Enterprise-Grade Performance at Scale

The Nemotron models are optimized for high-throughput inference and can be deployed seamlessly as NVIDIA NIM microservice containers. This flexibility lets Tabnine support a wide range of enterprise setups—from cloud-based teams to secure, air-gapped on-premises environments. Impressively, a single NVIDIA H100 GPU can support up to 250 concurrent users, generating tokens faster and reducing the total cost of ownership. This capability drastically accelerates the time-to-value for enterprise AI adoption.

Weiss also highlighted, “Enterprises aren’t just experimenting with AI agents anymore—they’re actively deploying them in real workflows. Nemotron gives us the scalable reasoning power to meet that demand..”

Open Models with Full Control

Staying true to Tabnine’s privacy-first and customizable AI philosophy, the Nemotron integration enhances its platform by offering open model weights, transparent training data, and deployment options designed for enterprise needs. Customers can also leverage the NVIDIA NeMo platform for building, deploying, and continuously refining AI agents, ensuring a complete lifecycle for secure AI adoption.

This collaboration builds on Tabnine’s long-standing relationship with NVIDIA. Last year, Tabnine made it simpler to deploy containerized solutions in the cloud, hybrid setups, and secure environments by adding support for NVIDIA NIM. Today’s announcement adds best-in-class reasoning capabilities, reinforcing both companies’ shared vision for delivering enterprise-grade AI at scale.

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