NVIDIA's Nemotron Nano 2 models, launched on the Fireworks AI platform, represent a significant advancement in efficient reasoning capabilities for AI models. These models leverage a hybrid Mamba-Transformer architecture, allowing them to maintain accuracy while reducing computational demands, particularly for tasks requiring long-context processing. The models excel in scientific research and code understanding by processing dense information and generating hypotheses with expert-level reasoning, achieving up to 62% accuracy on the GPQA Diamond benchmark, which surpasses the performance of models like GPT-4. Available in two sizes, Nemotron-Nano-9B-v2 and Nemotron-Nano-12B-v2, these models offer developers the ability to scale workloads efficiently on Fireworks' global infrastructure, benefiting from optimized speed, capacity, and reduced costs. This innovation is poised to enhance complex agentic applications, providing reliable decision support where simpler models fall short.