Infrastructure economics
Don’t Scale Up TL;DR
The room is the architecture. Enterprise inference depends on power, topology, cache locality, utilization, and disciplined cost control.
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Our posts — Ideas behind the private inference cloud.
Thoughts about the AI industry, AI in general, inference economics, and the servescale.ai thesis: why enterprise AI needs a private inference cloud inside their control boundaries.
Model economics
Don’t Scale Up Part 2: The Model Edition
Production AI needs right-sized models, routing, validators, tools, and escalation paths instead of sending every task to the largest model.
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Enterprise platformization
The Inevitable Path of AI
AI is moving from developer experimentation to operational platforms owned by CIO and CTO organizations.
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Inference market architecture
2026: The Bifurcation of the Inference Market
The inference market is splitting between rented-capacity velocity and enterprise sovereignty, governance, locality, and permanence.
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AI platformization
Turn 2025 AI Pilots into an Enterprise Platform
Enterprise AI pilots need unified model access, governance, policy, infrastructure economics, and accountability to become durable platforms.
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Agentic AI governance
The Ode to Chaos
Agentic AI does not need fake guardrails. It needs anti-capture architecture, promise discipline, and systems that metabolize uncertainty.
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Power economics
Every Watt is Precious
A power-noir argument that AI economics are now shaped by scarce electricity, cooling limits, PUE, reliability, and energy per token.
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Energy strategy
The Energy Gambit
The AI revolution is becoming a physical contest for coolable, controllable megawatts, water, siting, and energy sovereignty.
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Neocloud economics
The Neocloud Doom Loop
Inference demand, power constraints, hardware depreciation, and token-margin pressure can turn GPU clouds against their own balance sheets.
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Agentic AI governance
Promise Theory, Agentic AI, and the Collapse of Command-and-Control
A systems argument for treating agentic AI trust as an ecology of promises, constraints, observability, and negotiated behavior.
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AI utility economics
Neocloud as AI Utility
AI infrastructure should be financed like power and shipped like product: disciplined, metered, reliable, and built for production utility.
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Founder field report
Three Weeks in Puglia
A founder’s report from Italy on startup geography, local ambition, and what Silicon Valley thinking looks like far from Silicon Valley.
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Agentic AI trust
The Trust Is Broken
Identity-first trust is cracking under agentic AI. Production systems need explicit promises, context, verification, and observable behavior.
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