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SemiAnalysisDylan Patel2026-06-03
To Boldly Go: The Case for Space Datacenters

Everyone has been talking about datacenters in space. Interviews given by Elon Musk in the past few months have spent lots of time on orbital compute:“Five years from now, my prediction is we will launch and be operating every year more AI

SemiAnalysisDylan Patel2026-05-29
AI Dark Output: The Visible Cost of Invisible Output

During the 1980s and 90s, macroeconomic data could not detect the contribution of the emerging computer revolution. Famously, Robert Solow quipped “You can see the computer age everywhere, but in the productivity statistics.” And yet, despi

SemiAnalysisDylan Patel2026-05-28
Finding Miscompiles for Fun, Not Profit

Update June 1: The day after we published, Anthropic released Opus 4.8 and “ultracode” mode in Claude Code. Our preliminary experiments indicate that together these are significantly better at filtering out low-severity bugs, and that the c

SemiAnalysisDylan Patel2026-05-26
Inside the 800VDC Revolution – Part 1

We’d like to thank DG Matrix, Novos Power, and Aran Industries for their contributions and insights during the preparation of this deep dive.Introduction: Welcome to the Power Chain Roller CoasterAcross every major industry conference in th

SemiAnalysisDylan Patel2026-05-13
Cerebras — Faster Tokens Please

It’s been nearly 5 years since Dylan wrote a dedicated article about Cerebras in June of 2021 for the newsletter. He shipped 4 articles in 2 days! How times have changed.One of the other things that has changed is Cerebras’s fortunes. With

SemiAnalysisDylan Patel2026-05-12
The EDA Primer: From RTL to Silicon

AI demand has been driving the explosion in compute over the past few years, resulting in chip designs getting ever more complex, with silicon area and power per package seeing continued growth as designs push for even greater performance.

SemiAnalysisDylan Patel2026-05-01
AI Value Capture - The Shift To Model Labs

A day in AI now feels like a year in any other industry. Model releases, software breakthroughs, and hardware improvements are compressing multi-year cycles for any other industry into weeks. Over just the past few months, agentic AI has cr

SemiAnalysisDylan Patel2026-04-24
The Coding Assistant Breakdown: More Tokens Please

Since we called out the Claude Code inflection point on February 5th, we have seen a flurry of model releases. Opus, Mythos, Codex, Gemini, DeepSeek, Kimi, Qwen, GLM, MiniMax, Composer, Muse Spark, and more. Today we will break down all of

SemiAnalysisDylan Patel2026-04-20
How Much Do GPU Clusters Really Cost?

Introduction: Rethinking the Total Cost of a GPU ClusterModern GPUs are unbelievably expensive. A single Blackwell GPU costs more than the average car, and uses more energy than a single family home. It is now common for unicorn startups to

SemiAnalysisDylan Patel2026-03-24
Nvidia – The Inference Kingdom Expands

Source: NvidiaAt GTC 2026, Nvidia delivered an event packed full of ground breaking announcements. Nvidia’s pace of innovation is not showing any signs of slowing, as they introduced three entirely new systems this year: Groq LPX, Vera ETL2

SemiAnalysisDylan Patel2026-03-12
The Great AI Silicon Shortage

The Compute ShortageToken demand is skyrocketing and the need for AI compute continues to accelerate. The improvement in model capabilities combined with the rapid emergence of agentic workflows has driven a surge in user adoption and aggre

SemiAnalysisDylan Patel2026-02-09
CPUs are Back: The Datacenter CPU Landscape in 2026

Since 2023, the datacenter story has been simple. GPUs and networking are king. The arrival and subsequent explosion of AI Training and Inference have shifted compute demands away from the CPU. This meant that Intel, the primary supplier of