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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.Financial ServicesLaunchableDeveloper ExampleAI Model Distillation for Financial Data
Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.GeneralLaunchableDeveloper ExampleBuild a RAG Pipeline Blueprint
Leading content safety model for enhancing the safety and moderation capabilities of LLMsDownloadablellama-3.1-nemoguard-8b-content-safety
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.Downloadablellama-3.1-nemoguard-8b-topic-control
Run healthcare AI agents that analyze patient data and predict protein structures in an OpenShell sandbox on DGX Station Natural and expressive voices in multiple languages. For voice agents and brand ambassadors.Downloadablemagpie-tts-multilingual
Industry leading jailbreak classification model for protection from adversarial attemptsDownloadablenemoguard-jailbreak-detect
Deploy Nemotron 3 model family (Nemotron-3-Nano or Nemotron-3-Super) on DGX Spark Build Real-Time, Multimodal Voice Agents with NVIDIA Nemotron NIM.GeneralLaunchableDeveloper ExampleNemotron Voice Agent
1B embedding model for semantic search, retrieval, and RAG applications.Free Endpointnemotron-3-embed-1b
Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoi Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes. Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) customization and cloud or local deployment. Not for offlin AI agents that connect, retrieve, and reason on enterprise data—making information accessible, actionable, and intelligent.GeneralLaunchableDeveloper ExampleNVIDIA Deep Researcher Agent
Automate and scale the discovery, testing, and refinement of trading signals for quantitative research.Financial ServicesLaunchableDeveloper ExampleQuantitative Signal Discovery Agent
Rapidly identify and mitigate container security vulnerabilities with generative AI.GeneralLaunchableDeveloper ExampleVulnerability Analysis for Container Security
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