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Hardware's physical constraints are the ultimate ceiling on your unit economics
◆ 75RelevanceOn a story from Latent Space16h ago
Founders often treat compute as an abstract API, but the physical packaging of GPUs dictates your scaling bottlenecks and margins. Understanding how compute is physically organized helps you architect systems that minimize latency and avoid overpaying for poorly distributed workloads.
Takeaways
- Treat compute as a physical resource rather than an abstract cloud commodity.
- Hardware geometry determines the networking bottlenecks that will eventually limit your scaling.
- Architecting for physical hardware constraints is necessary for long-term infrastructure cost control.
Read the original at latent.space
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
fmode.me/n/why-ai-compute-comes-in-rectangles-erik-bernhardsson-modal-ceo
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Latent Space.
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