
Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows

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 advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint

Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.

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.

Latency-optimized language model excelling in code, math, general knowledge, and instruction-following.

Automate voice AI agents with NVIDIA NIM microservices and Pipecat.

Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A