Beyond Agents: What AI Strategy Really Needs in 2025
summary
GTC observations condense into concrete shifts: NVIDIA markets a compact developer box with 128 GB of VRAM and about one teraflop for local model work; organizers show robots trained with synthetic data for robot training and live simulation tied to digital twins; analysis of ~600 GTC sessions plus notes from 1,100+ sessions highlights convergence across simulation, data, hardware and software; infrastructure moves toward shrinking data centers (1 MW racks, highly efficient stacks) and open-source robotics models enabling faster cross‑domain deployment.
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chapters (17)
- 0:00AI strategy in 2025
- 1:13Attended Nvidia GTC
- 4:02AI trends and tech at GTC
- 7:14AI across industries
- 8:17Synthetic data role
- 9:03Simulation and digital twins
- 12:00Humanoid robots and autonomy
- 14:09Open source models and hardware
- 15:11Nvidia AI hardware releases
- 16:35Energy efficiency in AI
- 18:23AI convergence across domains
- 20:11AI in the physical world
- 21:39Cross-domain AI collaboration
- 23:48Disney DeepMind robotics
- 24:32Autonomous systems in practice
- 25:58AI future and open source
- 28:11Q&A
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