Enterprise AI: Inference, Infrastructure & Strategy

Writing on enterprise AI infrastructure.

Perspectives on inference economics, open weight models, GPU infrastructure, and enterprise adoption from someone operating inside the market.

Joseph Kolko
JK

About

Operating at the intersection of AI infrastructure and enterprise adoption, with direct exposure to both production systems and enterprise buying decisions.

Analysis on inference economics, open weight models, GPU infrastructure, and the commercial patterns shaping enterprise AI.


Topics

01

Managed Inference

The economics and architecture of running frontier and open weight models in production.

02

AI Infrastructure

GPU markets, model deployment, latency tradeoffs, and the full stack beneath AI.

03

Enterprise Adoption

How organizations evaluate, procure, and deploy AI, and the organizational dynamics that shape outcomes.

04

Open Weight Models

The rise of open weight models, what they make possible for enterprise deployment, and how they reshape the competitive dynamics of AI infrastructure.


Writing

  1. 02 Why AI Infrastructure Is Becoming Enterprise Infrastructure Strategy Soon
  2. 03 The Enterprise Case for Open Weight Models Models Soon
  3. 04 Deploying Open Weight Models at Scale: What Changes Infrastructure Soon
  4. 05 GPU Economics Explained Infrastructure Soon
  5. 06 The Next Decade of Enterprise AI Future Soon

Collaborative Beliefs

  1. 01 Simplicity creates trust
  2. 02 Long-term partnerships outperform short-term transactions
  3. 03 Curiosity compounds

Get in touch.

Open to substantive conversations on enterprise AI, infrastructure, and strategy.