Use NIM to deploy a broad range of LLMs from Hugging Face.
Build advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint
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.
Orchestrate AI agents for data flywheel with MLRun and NVIDIA NeMo microservices.
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.
Detect and prevent sophisticated fraudulent activities for financial services with high accuracy.
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.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
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.
Route LLM requests to the best model for the task at hand.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
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.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Trace and evaluate AI Agents with Weights & Biases.
Automate voice AI agents with NVIDIA NIM microservices and Pipecat.
Automate research, and generate blogs with AI Agents using LlamaIndex and Llama3.3-70B NIM LLM.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.
This NVIDIA Omniverse™ Blueprint demonstrates how commercial software vendors can create interactive digital twins.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Enhance and modify high-quality compositions using real-time rendering and generative AI output without affecting a hero product asset.
Create intelligent virtual assistants for customer service across every industry
Rapidly identify and mitigate container security vulnerabilities with generative AI.
Create intelligent, interactive avatars for customer service across industries
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.