Intern a bit busy yesterday, would be back to proper setup for today stream. Let's run up again today!
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A permanent framework is moving closer.
When the rules get clearer, capital usually gets more comfortable showing up.
The RWA ecosystem stands to benefit most if that shift continues.
Via @a16zcrypto
AI compute is not priced by hardware alone.
The economics depend on a combination of:
• GPU supply
• Workload demand
• Utilization
• Energy costs
• Capital efficiency
As AI infrastructure scales, understanding these variables becomes increasingly important.
Because the next compute opportunity may not be about owning more GPUs.
It may be about understanding where demand is heading.
More GPUs don't always mean more compute.
Utilization matters.
A data center running 10,000 GPUs at 30% utilization has very different economics from one running the same fleet at 80%.
As AI workloads evolve, the value of compute will increasingly depend on:
• GPU utilization
• Workload demand
• Energy costs
• Hardware efficiency
Compute capacity tells us what exists.
Utilization tells us how much of it is actually being put to work.
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