Use NIM to deploy a broad range of LLMs from Hugging Face.
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Streamline evaluation, monitoring, and optimization of AI data flywheel with Weights & Biases.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Create high quality images using Flux.1 in ComfyUI, guided by 3D.
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.
Investigate, understand, and interpret single cell data in minutes, not days by leveraging RAPIDS-singlecell, powered by NVIDIA RAPIDS
Easily run essential genomics workflows to save time leveraging Parabricks
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
Simulate, test, and optimize physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
Continuously extract, embed, and index multimodal data for fast, accurate semantic search. Built on world-class NeMo Retriever models, the RAG blueprint connects AI applications to multimodal enterprise data wherever it resides.
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Create intelligent virtual assistants for customer service across every industry