Shift Towards AI Inference
The Shift Toward Inference, Part 1: From Training Clusters to Inference Infrastructure
How AI’s center of gravity is moving from model training to model serving. Why GPUs, memory, power, and data centers are becoming the real bottlenecks. And why the next AI race is about running intelligence at scale.
The Shift Toward Inference, Part 2: From Bigger Models to Smarter Systems
AI software stack is evolving from simple model serving into a cost-aware system of routers, caches, runtimes, and reasoning policies. Knowing when to spend compute, when to save it, and how to make every token cheaper will increasingly become important.
DeepSeek Efficiency
How to Train a 1.6T Parameter MoE on a Budget: Inside DeepSeek-V4's Pre-Training Stack
The Math That Beat the Export Controls: DeepSeek-V4's Radical Training Efficiency
How to Train a 1.6T Parameter MoE on a Budget: Inside DeepSeek-V4's Pre-Training Stack
The Math That Beat the Export Controls: DeepSeek-V4's Radical Training Efficiency
The AI Knowledge Series
RAG vs. Fine-Tuning — The Question Every AI Builder Gets Wrong
AI models don't know your private data. Two approaches have been the standard answer. In 2026, a third matters just as much.
RAG vs. Fine-Tuning — The Question Every AI Builder Gets Wrong
AI models don't know your private data. Two approaches have been the standard answer. In 2026, a third matters just as much.
Inside RAG — How It Really Works (And Why Most Projects Stall Before They Ship)
The gap between the RAG concept and production reality is where most projects quietly fail. Here's what the explanations usually skip.
Inside RAG — How It Really Works (And Why Most Projects Stall Before They Ship)
The gap between the RAG concept and production reality is where most projects quietly fail. Here's what the explanations usually skip.
Fine-Tuning in 2026 — Cheaper Than You Think, Harder Than You Think
Bloomberg spent roughly $10 million on it. You can now get started for under $100. What changed, and when does fine-tuning actually make sense?
Fine-Tuning in 2026 — Cheaper Than You Think, Harder Than You Think
Bloomberg spent roughly $10 million on it. You can now get started for under $100. What changed, and when does fine-tuning actually make sense?
Agentic RAG — The Architecture That Made the Debate Beside the Point
Once you see RAG and fine-tuning operating inside a reasoning loop, the question of which one to choose starts to feel like asking whether a workshop needs better hammers or better saws.
Agentic RAG — The Architecture That Made the Debate Beside the Point
Once you see RAG and fine-tuning operating inside a reasoning loop, the question of which one to choose starts to feel like asking whether a workshop needs better hammers or better saws.