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Developer examples designed for quick-start AI development in financial services, including artifacts like Docker containers and Jupyter Notebooks, allowing for fast deployment with tools like Docker compose and Brev Launchable.
Enable fast, scalable, and real-time portfolio optimization for financial institutions.
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.
Detect and prevent sophisticated fraudulent activities for financial services with high accuracy.
Comprehensive reference workflows that accelerate application development and deployment, featuring NVIDIA acceleration libraries, APIs, and microservices for AI agents, digital twins, and more.
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.
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
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.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Leverage retrieval-augmented generation to ground large language models in your proprietary data.
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
80B parameter AI model with hybrid reasoning, MoE architecture, support for 119 languages.
High accuracy and optimized performance for transcription in 25 languages
Mixture of Experts (MoE) reasoning LLM (text-only) designed to fit within 80GB GPU.
Converts streamed audio to facial blendshapes for realtime lipsyncing and facial performances.
Advanced AI model detects faces and identifies deep fake images.