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2025/12/10
EDOM at NVIDIA GTC 2026
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Our Partner's Booth Map
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Experience AI in Action, Physical AI in Motion
Physical AI and robotics solutions integrated with NVIDIA Jetson hardware and software resources. Learn more about how AI technologies are being developed and deployed across diverse fields such as smart healthcare, vision recognition, and speech understanding
AI Workforce: Embodied Intelligence
Few-Shot Bimanual Manipulation with NVIDIA Thor
This demo showcases an embodied AI workforce powered by NVIDIA Thor. Robots learn complex bimanual manipulation tasks through few-shot human demonstrations, enabling rapid skill acquisition and scalable deployment for industrial automation and real-world physical AI applications.
Dexterous Hand AI
Real-Time Rock–Paper–Scissors with 4D AI Vision
Powered by 4D AI vision and NVIDIA Thor, this interactive demo captures human hand motion in real time and enables instant robotic responses. It demonstrates ultra-low latency perception, motion tracking, and decision-making through a human–robot rock–paper–scissors interaction.
Jetson Thor Peripheral Ecosystem
EDOM-Certified Sensors, Cameras & High-SpeedI/O
EDOM-certified peripherals integrate cameras, sensors, storage, connectivity, and high-speed I/O for NVIDIA Jetson platforms. The validated ecosystem simplifies system integration and accelerates edge AI deployment across robotics, vision, and industrial applications.
Secure Offline Generative AI
Private LLM Platform for Enterprise AI
AIthena enables enterprises to deploy generative AI and LLM workloads in secure offline environments. Running on edge or on-prem infrastructure, it supports AI assistants, RAG, OCR, and analytics while ensuring sensitive data remains within private systems.
Software-Defined High-Throughput Wet Lab
AI-Driven High-Throughput Biochemical Automation
CyteSi's EWOD platform enables a software-defined wet lab by digitally controlling droplets for biochemical workflows such as NGS preparation, drug discovery, and synthetic biology. Powered by NVIDIA Jetson, it supports real-time imaging and adaptive workflow control while reducing reagent consumption and enabling scalable AI-driven experimentation.
Join Our In-Person Session
This session explores how NVIDIA 3 Computers—Train, Simulate, and Deploy—enable enterprises to turn AI models into real-world applications across computer vision, robotics, and edge AI. Learn how this end-to-end architecture accelerates AI deployment, reduces risk, and helps organizations scale AI from experimentation to production. Add this session to your GTC schedule now.
