#AI Infrastructure

GPU Cluster Networking in 2026: RoCE v2 vs InfiniBand, NCCL Ring AllReduce & Rail-Optimized Fabrics

An exhaustive AI infrastructure engineering guide to 32,000-GPU training fabrics. We analyze RDMA over Converged Ethernet (RoCE v2) vs InfiniBand NDR/XDR, NCCL Ring and Tree AllReduce collective primitives, and preventing packet drop pause frames.

Vector Databases Explained: The Master Librarian Who Reads Everything (2026)

Almost 90 New AI Unicorns This Year: What Are They Actually Building?

Behind 2026's $1B+ funding explosion. How 90 new AI unicorns are building AI infrastructure, data networking, physical AI robotics, and specialized domain agents.

Context Window Wars: Do You Actually Need a Massive Context Model?

2M-10M token context windows vs retrieval accuracy. Why 'Needle in a Haystack' decay, prefill latency penalties, and financial token costs make RAG + prompt caching the smarter 2026 choice.

Evaluating a New Model Release Before Migrating Your Production Prompts

The AI regression testing guide. How to build automated prompt eval suites, semantic similarity scoring, and LLM-as-a-Judge benchmarking in TypeScript.

Model Routing in Production: When to Fall Back From Flagship to Lite

Slash LLM costs by 40-85%. A production architecture guide to cheap-by-default routing, complexity classification, circuit breakers, and gateway failovers.

Prompt Caching Across Providers: A Real Cost Comparison for a Chat App

Cut prefill costs by 50-90%. A benchmark comparison of Anthropic explicit cache_control, OpenAI automatic prefix caching, and Google Gemini context caching.

The Case for Betting Your Career on AI-Adjacent Infrastructure, Not Just Prompts

The durable engineering career strategy. Why prompt engineering is commoditized while GPU orchestration, vector DBs, telemetry proxies, and MCP infrastructure thrive.

The Coming Wave of AI-Native File Formats and Protocols (MCP and Beyond)

The USB-C of the AI ecosystem. An architectural deep-dive into the Model Context Protocol (MCP) 2026 specification, stateless serverless gateways, and agentic protocols.

The Real Latency Difference Between Flagship and Budget-Tier Models

Measuring Time-to-First-Token (TTFT) and tokens-per-second (TPS). A 2026 benchmark comparing GPT-5.6 Sol/Terra/Luna, Claude Sonnet 5 vs Haiku, and Gemini Flash.

What Investors Are Actually Funding in AI Right Now vs What Gets Headlines

2026 Venture Capital AI Data Audit. Why headlines focus on consumer chat apps while VC term sheets fund energy density, chip cooling, synthetic data, and agentic workflows.

Why AI Power Density (1MW Racks by 2028) Is the Real Constraint on Progress

The 1 megawatt rack bottleneck. How 800V DC architectures, direct-to-chip liquid cooling, and grid interconnection queues limit AI scaling in 2026.