AI economy is running out of cheap compute as data-center and power costs surge
Scobleizer · x · 2026-07-22
A newsletter argues that the AI economy is running out of cheap compute.
Its main thesis is that the real battleground is shifting away from model wars and toward data centers, GPUs, electricity, and compute supply. As infrastructure costs rise, owning the hardware behind AI may matter more than the software layer.
Related event: AI Competition Shifts to Infrastructure and Power Constraints(4 posts)→
More from Infra
- Engram's random reads don't suit SSDs; CPU-memory over NVLink could serve all 72 GPUs — bookwormengr · 2026-09-11
- 80% of the DIY LLM inference hype posters have already quit — it's brutally hard systems work — abhijithneil · 2026-09-11
- Hugging Face's Ultra Scale Playbook: a free book on training LLMs on GPU clusters — mdancho84 · 2026-09-11
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11