The Journal
The archive.
Earlier posts on AI strategy, model deployment and AI in specific industries. Our current writing on GPU waste, economics and cluster efficiency is on the blog.
2026
- Jun 4What the Cloudflare–Replicate Acquisition Means for Your Inference InfrastructureAI Infrastructure
- Mar 16From Models to Agents: Why AI Infrastructure Is Becoming the Real Competitive AdvantageStrategy
- Feb 16What Matters to a GPUaaS TenantOperators
- Feb 16Beyond Prompt → Code: The Real Systems Challenges Behind Coding Foundation ModelsArchitecture
- Feb 7What Matters to a GPUaaS ProviderOperators
- Jan 27The GPU Platform Control Plane: Policy as Code, Not Just SchedulersArchitecture
- Jan 15ModelSpec: A Blueprint for AI Model IntentSource Available
- Jan 7Variability Is the Real Bottleneck in AI InfrastructureArchitecture
- Jan 2Orchestration, Serving, and Execution: The Three Layers of Model DeploymentArchitecture
2025
- Dec 24The Checklist Manifesto, Revisited for AI InfrastructureOperators
- Dec 23AI Applications Aren't Models. They're Distributed SystemsArchitecture
- Dec 20The Missing Dependency Graph in AI DeploymentSource Available
- Dec 8Why ML Model Deployment Needs Its Own Best PracticesOperators
- Dec 3Cloud-Native Had Kubernetes. AI-Native Needs ModelSpecArchitecture
- Nov 25The Invisible AI Deployment Footprint: Why MLOps Teams Lose Visibility as They ScaleOperators
- Nov 10Setting the Foundation: Why DevOps Must EvolveStrategy
- Nov 2AI in Philanthropy: From Donations to Data-Driven ImpactIndustry
- Nov 2AI in FinTech: From Transactions to TrustIndustry
- Nov 2AI in Law: From Case Files to CodeIndustry
- Oct 31The Hidden Backbone of AI: Building an Inference Service That ScalesArchitecture
- Oct 27The Hidden Costs of Manual Inference Services: Why Model Deployment Still Feels Like a Ticket QueueOperators
- Oct 25The New AI Stack: Why Foundation Models Are Partnering, Not Competing, with Cloud ProvidersStrategy
- Oct 20When Law Meets Code: How AI Is Transforming the Legal IndustryIndustries
- Oct 19Finding the Exit: Where Cloud Compliance Ends and AI-Native BeginsStrategy
- Oct 18AI in Healthcare: Precision Meets TrustIndustries
- Oct 18The Next Frontier of Trust: Why AI-Native Compliance Starts Where Cloud Compliance EndsStrategy
- Oct 15AI-Native vs. Cloud-Native: The Next Great Divide in Startup InfrastructureStrategy
- Oct 3Inside the Infrastructure War: Hyperscalers vs. VPS in the AI Gold RushOperators
- Oct 2Bare Metal vs. Hyperscaler: Why Startups Chase Raw GPU CapacityStrategy
- Oct 1The AI Factory: Turning Raw Data Into Business OutcomesStrategy
- Oct 1Data Is the New Moat: Why Mid-Market Companies Have What Startups NeedStrategy
- Oct 1AI-Native Startups vs. Mid-Market Incumbents: Who Wins the Race?Strategy
- Sep 30AI in Real Estate: From Startups to Enterprises, New Value UnlockedIndustries
- Sep 27The 3 Core Pillars of AI/ML Monitoring: Performance, Cost, and AccuracyOperators
- Sep 26From Filing Cabinets to AI Pipelines: The Evolution of Data ReadinessStrategy
- Sep 25From Black Box to Glass Box: The Role of Observability in AI SystemsOperators
- Sep 25The AI Execution Gap: Why Mid-Market Companies Struggle, and How to Close ItStrategy
- Sep 24The Evolution of Data Centers: From Mainframes to AI-Driven InfrastructureArchitecture