Open, frontier, and yours: LangChain Deep Agents on NVIDIA Nemotron 3 Ultra, running on Fireworks

LangChain has optimized its Deep Agents harness for the NVIDIA Nemotron 3 Ultra, achieving top-tier performance among open models at a significantly reduced cost compared to closed alternatives. This enhancement, available through the Fireworks platform, allows businesses to post-train the model into specialized versions tailored to their specific workflows, ensuring competitive advantages remain proprietary. The cost-effectiveness of the model, which runs on advanced NVIDIA AI infrastructure and Fireworks' custom FireAttention kernels, is measured by cost per completed task, rather than per response, as it efficiently handles complex, multi-turn tasks. The open-stack approach, supported by NVIDIA's open model and runtime, along with Fireworks' training and inference loop, enables businesses to continually improve model performance using their data, thereby compounding their competitive edge. Since the announcement of Nemotron support, enterprises have been quick to adopt this solution for building agents in various domains, attracted by its promise of enhanced performance and cost efficiency without reliance on external proprietary APIs.

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