Reference implementation of the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP) enabling AI-powered checkout negotiation while maintaining merchant of record.
An AI-powered, multi-agent system designed to optimize warehouse operations through intelligent automation, real-time monitoring, and natural language interaction.
Distill and deploy domain-specific AI models from unstructured financial data to generate market signals efficiently—scaling your workflow with the NVIDIA Data Flywheel Blueprint for high-performance, cost-efficient experimentation.
Build advanced AI agents for providers and patients using this developer example powered by NeMo Microservices, NVIDIA Nemotron, Riva ASR and TTS, and NVIDIA LLM NIM
Build a production-integrated data flywheel that continuously optimizes AI agents for latency, accuracy, and cost — built with NVIDIA NeMo and open NVIDIA Nemotron models.
Build a custom enterprise research assistant powered by state-of-the-art models that process and synthesize multimodal data, enabling reasoning, planning, and refinement to generate comprehensive reports.
