Evergreen Intelligence
The CODEW Intelligence · Evergreen Intelligence
Evergreen Intelligence is a foundational knowledge library explaining the technologies, concepts, business models, and strategic frameworks that remain useful regardless of the news cycle.
Evergreen Intelligence is the knowledge foundation of The CODEW. It explains the technologies, concepts, business models, and strategic frameworks that stay relevant long after a product launch or funding announcement—so research and analysis elsewhere on the site can rest on shared definitions and frameworks.
Evergreen Intelligence = knowledge foundation. Technology Intelligence, Company Intelligence, M&A, VC, and Special Reports = research and analysis built on that foundation. This page establishes the system and its categories. Foundational articles populate the library over time.
The key principle
Evergreen Intelligence defines and explains what things are—HBM, AI inference, unit economics, Build vs. Buy.
The other Intelligence sections analyze markets, companies, capital, and strategy using that shared foundation. Cross-links turn standalone articles into a research graph.
Evergreen Categories
Six categories organize the foundational library. Each category holds definitions, comparisons, and frameworks—not news coverage.
1. AI & Computing Foundations
Core concepts behind AI compute, memory, and chip architecture.
HBM · AI Training vs. Inference · AI Accelerators · GPU vs. TPU vs. NPU · AI Chip Architecture · AI Compute
2. AI & Software Foundations
How AI systems are built, exposed, and operated at the software layer.
Agentic AI · AI Agents · AI Models · Foundation Models · AI APIs · AI Infrastructure · AI Software Stack
3. Enterprise Technology Foundations
The platforms and systems organizations use to run and secure digital operations.
Cloud Computing · Enterprise Software · SaaS · Data Platforms · APIs · Cybersecurity · Networking
4. Semiconductor & Infrastructure Foundations
Hardware, packaging, and physical infrastructure that power compute and connectivity.
GPUs · CPUs · NPUs · HBM · Advanced Packaging · Chiplets · Data Centers · Networking Infrastructure
5. Business & Strategy Foundations
Business concepts used to evaluate technology companies, products, and decisions.
Unit Economics · Business Models · Competitive Moats · Recurring Revenue · Customer Acquisition · Build vs. Buy · Technology Strategy
6. Technology Decision Frameworks
Practical frameworks for choosing, buying, and operating technology.
Build vs. Buy · Vendor Selection · Technology ROI · AI Adoption · Cloud Strategy · Infrastructure Strategy · Software Selection
First Library Cluster: AI Technology Foundations
The first set of foundational articles. These form the initial Evergreen library—definitions and comparisons, not news pieces.
1. What Is HBM and Why Does It Matter for AI?
High Bandwidth Memory—what it is, how it differs from conventional DRAM, and why it constrains AI training and inference.
2. AI Inference vs. AI Training: What's the Difference?
How training and inference differ in compute, memory, cost, and infrastructure—and why the distinction matters for markets and strategy.
3. Agentic AI vs. Traditional AI Agents: Key Differences
What “agentic” means in practice, how it differs from earlier agent designs, and where the terminology is still unsettled.
4. What Is an AI Accelerator?
Specialized chips designed for AI workloads—how they relate to GPUs, custom silicon, and the broader AI hardware stack.
5. GPU vs. TPU vs. NPU: Understanding AI Chips
A clear comparison of the main AI chip families—architecture, use cases, and where each fits in training and inference.
Build order: These five articles populate the first cluster. Additional categories (Enterprise, Semiconductor, Business, Decision Frameworks) follow as the library expands.
How Evergreen Connects to The CODEW
After the hub and library exist, cross-links create a research graph—from definition → market → company → capital.
Example research path
Evergreen — What Is HBM?
↓
Semiconductors & Hardware Intelligence — HBM demand/memory market
↓
Company Analysis — Micron / SK hynix / Samsung
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Company Deep Dive — Nvidia's memory architecture
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Special Report — AI Inference / AI Infrastructure
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The Term Sheet — Capital financing the AI infrastructure buildout
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Startup Intelligence — AI infrastructure startups
Evergreen Intelligence is the knowledge foundation of The CODEW Intelligence — definitions, concepts, and frameworks that remain useful regardless of the news cycle, so research and analysis across the site can share a common base.
Editorial Note
Evergreen Intelligence is the foundational knowledge library within The CODEW Intelligence. This page establishes the system, six category pillars, and the first article cluster (AI Technology Foundations). Depth is built by publishing clear, durable explainers—not news—and by linking them outward to Technology Intelligence, company analysis, capital coverage, and Special Reports.
Evergreen Intelligence is built on a single editorial standard: clarity over novelty. Definitions and frameworks, not hot takes. Articles should remain accurate and useful as markets and products change. Metrics and claims are labeled as reported, calculated, or CODEW-derived where relevant.
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