AIAcademy realm
Infrastructure And Environment
Compute, chips, datacenters, energy, robotics, supply chains, and physical constraints.
26 chapters · 87 lessons · 116 structured sources. Source types include government export-control document, research paper, technical report, government export-control release.
3 direct Practice Lab projects use Project spec, Compute budget note.
Learner pathways
Practice
- Plan a local-model experiment · Project spec · 30 minutes
- Estimate inference deployment tradeoffs · Project spec · 30 minutes
- Create a compute budget note · Compute budget note · 30 minutes
Chapters
- Open-weights training infrastructure
Building with AI · Fine-tuning & post-training · 3 lessons - What physical AI means in 2027
Frontiers · World models and embodied AI · 3 lessons - GPUs as the dominant accelerator
The Physical Stack of AI · Chips and accelerators · 4 lessons - NVIDIA roadmap — Blackwell, Rubin, what next
The Physical Stack of AI · Chips and accelerators · 4 lessons - The challengers — AMD, TPU, Trainium
The Physical Stack of AI · Chips and accelerators · 4 lessons - Specialist inference chips
The Physical Stack of AI · Chips and accelerators · 3 lessons - How a chip gets made
The Physical Stack of AI · Fab and packaging supply chain · 3 lessons - The CoWoS bottleneck
The Physical Stack of AI · Fab and packaging supply chain · 3 lessons - HBM — the binding memory constraint
The Physical Stack of AI · Fab and packaging supply chain · 3 lessons - Chip geopolitics — export controls and diffusion
The Physical Stack of AI · Fab and packaging supply chain · 4 lessons - What a hyperscale AI datacenter looks like
The Physical Stack of AI · Datacenters and gigawatt campuses · 3 lessons - Stargate — the $500B project
The Physical Stack of AI · Datacenters and gigawatt campuses · 4 lessons - Hyperion, Colossus, Project Rainier, Stargate UAE
The Physical Stack of AI · Datacenters and gigawatt campuses · 4 lessons - Cooling, water, and local pushback
The Physical Stack of AI · Datacenters and gigawatt campuses · 3 lessons - AI energy demand projections
The Physical Stack of AI · Energy and grid · 3 lessons - The nuclear-AI nexus
The Physical Stack of AI · Energy and grid · 4 lessons - Grid limits and siting politics
The Physical Stack of AI · Energy and grid · 3 lessons - Power-purchase agreements explained
The Physical Stack of AI · Energy and grid · 3 lessons - Why every country wants its own compute
The Physical Stack of AI · Sovereign AI compute · 3 lessons - Europe — UK Isambard, France Jules Verne
The Physical Stack of AI · Sovereign AI compute · 3 lessons - Stargate UAE, Saudi PIF, IndiaAI Mission
The Physical Stack of AI · Sovereign AI compute · 4 lessons - China and chip sovereignty
The Physical Stack of AI · Sovereign AI compute · 3 lessons - Cost per million tokens — the unit economics
The Physical Stack of AI · The inference economy · 4 lessons - Why Opus dropped 67% in February 2026
The Physical Stack of AI · The inference economy · 3 lessons - Neoclouds vs hyperscalers
The Physical Stack of AI · The inference economy · 3 lessons - Intelligence too cheap to meter — fact vs reality
The Physical Stack of AI · The inference economy · 3 lessons