NVIDIA offers a comprehensive stack for agentic AI, combining its powerful GPUs and software frameworks. On the software side, NIM™ Agent Blueprints are a highlight – these are essentially pre-built agent templates that demonstrate how to integrate NVIDIA technologies (like Triton Inference Server, Riva speech AI, etc.) to create end-to-end AI agents. For instance, one blueprint might show how to build a customer support agent that uses NVIDIA’s NeMo (for language understanding) and can interface with a database for answering queries. Another blueprint might focus on a manufacturing scenario where an AI agent uses machine vision (running on NVIDIA GPUs) to monitor product quality and then uses an LLM to explain issues in natural language to engineers. These blueprints accelerate development and ensure efficient use of NVIDIA’s hardware. Speaking of hardware, NVIDIA’s Jetson edge AI platform plays a crucial role for agents that need to operate on the edge (e.g., in a factory or a retail store). An example use-case is a Jetson-powered robot with an agent that can both see and converse: Jetson handles real-time video processing (detecting objects, events) while an on-device language model manages dialogue – perfect for an interactive kiosk or a smart security system. NVIDIA’s solutions emphasize performance and multimodality; their agents can handle heavy visual data, large language tasks, and connect to various tools and databases, all optimized by NVIDIA CUDA cores and TensorRT. The industry impact is substantial: enterprises leverage NVIDIA’s agent frameworks to deploy things like autonomous customer service kiosks, AI-driven surveillance systems, and complex workflow assistants with relative ease. By providing the “building blocks” (both hardware and software) for agentic AI, NVIDIA empowers developers to create robust AI agents across cloud, on-prem, and edge environments (36 Top Agentic AI Vendors in 2024 + 3 Free Options).