The State of Open Source AI | NVIDIA GTC @NVIDIADeveloper
The State of Open Source AI | NVIDIA GTC  @NVIDIADeveloper
Uploaded April 2026 | Updated September 2026, 2 weeks ago
Open source AI is evolving at record speed, reshaping how we train, refine, and deploy models across industries. Join leading builders as we explore the current state of open models and tools, the breakthroughs driving their momentum, and the new capabilities needed as AI becomes more specialized, multi-modal, and agent-driven.

Vartika Singh | Strategic AI Lead | NVIDIA
Jonathan Cohen | VP of Applied Research | NVIDIA
Ying Sheng | Co-Founder & CEO | RadixArk
Ion Stoica | Professor, EECS Department | University of California, Berkeley
Jeff Boudier | VP of Product | Hugging Face
Ranjay Krishna | Director of Multimodal and Embodied AI | Ai2

Key Takeaways:
Understand how today’s leading open-model teams train and optimize.
Learn why openness accelerates trust, transparency, and real-world adoption.
Explore the next technical hurdles including evaluation, memory, multi-modality, and emerging agent behaviors.
See how shared tools and cross-community collaboration accelerate progress for everyone.
Prepare for the next wave of open source AI and the capabilities developers will need.

Industry: All Industries
Topic: Developer Tools & Techniques - Pre-Trained / Foundation Models
Technical Level: Technical - Beginner
Intended Audience: Developer / Engineer
NVIDIA Technology: NeMo

#nvidiagtc
The State of Open Source AI | NVIDIA GTCBuild a Retrieval-Augmented Generation Chatbot in 5 MinutesBuilding Multimodal AI RAG with LlamaIndex, NVIDIA NIM, and Milvus | LLM App DevelopmentHow to Post-Train NVIDIA Cosmos 3 for Robot Action PredictionJETSON AI LAB | Research Group Meeting (7/9/2024)Learn with Me: Train AI Agents for Command-Line Tasks with Synthetic Data and RL | Nemotron LabsBeyond the Output: Navigating the Ethical Challenges of Generative AI | NVIDIA GTC 2024AI Perf benchmarking - Dynamo and other LLM endpointsHow the Developer Community Builds Sub-Agents with NVIDIA Nemotron 3 Nano Omni | Nemotron LabsDemo | Kimi K2.5 Code Generation to Build Research Paper AgentBuild Agentic Optimizations that Cut Supply Chain Planning from Weeks to MinutesDGX Spark Live:  Scaling On-Device VLM fine-tuning
NVIDIA Developer |

The State of Open Source AI | NVIDIA GTC

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER