At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI
At this year’s SIGGRAPH conference, running through Thursday, July 23, in Los Angeles, attendees can discover how leading graphics research, neural rendering, simulation and AI are transforming how worlds are created and understood by people and machines. The NVIDIA keynote, taking place today, July 20, at 3:45 p.m.
PT, will feature NVIDIA AI research and engineering leaders Neil Ashton, Edward Liu and Ming-Yu Liu discussing neural rendering techniques, world models and simulation methods for AI, built by AI. Read on for the latest from the SIGGRAPH conference, with NVIDIA and partners showcasing: Model Context Protocol connections bring agentic AI to content creation New Synthetic Video Detector NIM microservice Cosmos 3 Edge open world model for local physical AI NVIDIA NemoClaw on DGX Station with NVIDIA Agent Toolkit Research breakthroughs for virtual worlds and physical AI AI Agents Expand Creative Tools to Millions Image courtesy of Epic Games. Leading creative applications are opening Model Context Protocol (MCP) connections that let AI agents work inside the tools where scenes, shots, timelines, assets and edits come to life — while creators stay in control. For more than two decades, NVIDIA technologies — from GPU-accelerated viewports and CUDA-powered effects to NVIDIA RTX PRO ray tracing, AI denoising, neural rendering and real-time simulation — have helped accelerate the DCC tools that artists, studios and developers use to build the world’s games, films, television shows and advertising content. MCP is opening the next chapter of accelerated creativity: applications aren’t just getting faster. They’re becoming agent-ready. From Acceleration to Action With MCP-connected tools, an artist or technical director can ask an agent to inspect a scene for missing textures, flag inconsistent color management, prepare export variants, generate playblasts for dailies or validate a shot against pipeline rules, all while keeping creative decisions in human hands. The same NVIDIA platform that accelerated viewports, rendering, simulation and AI effects can now power local agents, model inference and multi-application workflows on systems designed for professional creators. NVIDIA RTX PRO workstations, DGX Spark and DGX Station systems are designed to bring accelerated AI performance closer to artists, developers and studio pipelines. Running models and agents locally can help improve responsiveness, reduce reliance on external services and keep sensitive creative data in controlled environments. NVIDIA Agent Toolkit also supports MCP integration, including an MCP client for connecting to remote MCP servers and an MCP server for publishing tools to any MCP client. The Creative Ecosystem Goes Agent-Ready Across the creative ecosystem, creative applications and platforms are exposing MCP connections or MCP-ready workflows, giving AI agents more grounded access to real production context. Adobe is expanding its creative agent across Firefly, Express and Creative Cloud, powering AI Assistant experiences that enable creators to describe the outcome they want while the assistant orchestrates multistep workflows. Adobe is also bringing its pro-grade creative tools to third-party AI platforms through the Adobe connector, extending its creative capabilities wherever people create and work. For developers, Adobe provides the Adobe Express Developer MCP Server, enabling AI coding assistants to build Adobe Express add-ons using official documentation and application programming interfaces (APIs). Affinity by Canva has introduced an AI Connector for Claude that uses MCP to bring natural-language automation directly into Affinity.
