Build a production-integrated data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
The leading open models built by the community, optimized and accelerated by NVIDIA's enterprise-ready inference runtime.
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
Advanced reasoing MOE mode excelling at reasoning, multilingual tasks, and instruction following
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
A multimodal, multilingual 16 MoE model with 17B parameters.
Get started with workflows and code samples to build AI applications from the ground up.
Build artificial general agents (AGA) powered by AGI models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Connect AI applications to multimodal enterprise data with a scalable retrieval augmented generation (RAG) pipeline built on highly performant, industry-leading NIM microservices, for faster PDF data extraction and more accurate information retrieval.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.