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Nvidia
Openai
Anthropic
Inferencex
Spacex
Artificial Intelligence
TSMC
GPU Clusters
Unitree
Cerebras
LLVM
Deepseek V4
Kimi K3
Semiconductors
AI Datacenters
AMD
Claude Code
Memory (DRAM, HBM)
DG Matrix
Video Backstops

Everything semiconductors and AI

Covering the spectrum

PublishesWeeklyEpisodes25Founded6 months ago
Number of ListenersCategory
Business

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Artwork for SemiAnalysis Weekly

Latest Episodes

OpenAI and Anthropic are adding close to $30 billion of ARR per month, and the driver is gross margin expansion, not new compute. Jeremie Eliahou Ontiveros (@JeremieEO) and Reyk Knuhtsen (@robotknower) join Jordan Nanos (@JordanNanos) to trace the $1... more

Jeff Dean and the Gemini leads are leaving Google. Jon Y (@asianometry) makes his FIRST appearance to unpack the exodus with Doug O'Laughlin (@fabknowledge) and Jordan Nanos (@JordanNanos). The crew debates the Demis CEO question, whether Google acqu... more

Doug is back this week!

Timestamps:

00:00 Market Update

07:02 Comparing to Past Bubbles in Taiwan and Korea

10:08 Memory Prices, LTAs, and Market Cycles

18:11 Future Demand for AI and Model Usage

37:40 Scaling Laws and Supply Constraints

44:45 Financ... more

AI and datacenter CapEx hits $11 trillion cumulatively from 2024 to 2029, and $7.1 trillion of that needs funding, roughly 75% debt financed. Dan Nishball (@dnishball), Zane Fong (linkedin.com/in/zanefongzq), and Kang Wen Cheang (linkedin.com/in/chea... more

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Recent Guests

Jon from Asianometry
Guest discussing industry shifts and AI developments
Asianometry
Episode: Ep. 023 - Everyone Leaves Google, Elon Forecasts 1T ARR, Reflecting On GPT-5, Building Personalized Software (Roundtable) | Jon Y, Doug O'Laughlin, Jordan Nanos
Jordan Schneider
Guest known for China Talk background
China Talk
Episode: Ep. 023 - Everyone Leaves Google, Elon Forecasts 1T ARR, Reflecting On GPT-5, Building Personalized Software (Roundtable) | Jon Y, Doug O'Laughlin, Jordan Nanos
Doug O'Loughlin
Guest on SemiAnalysis Weekly
SemiAnalysis
Episode: Ep. 022 - Market Drawdown, Historic Bubbles, Funding The Buildout, AI Politics (Doug is Back)
Andrew Wagner
Member of the STEEL teardown team
STEEL / SemiAnalysis
Episode: Ep. 019 - Inside the STEEL Lab: From Package to Transistor (Teardown Lab) | Afzal Ahmad, Andrew Wagner, Jordan Nanos
Afzal Ahmad
STEEL team member
STEEL / SemiAnalysis
Episode: Ep. 019 - Inside the STEEL Lab: From Package to Transistor (Teardown Lab) | Afzal Ahmad, Andrew Wagner, Jordan Nanos
Niko Ciminelli
Robotics expert familiar with Unitree ecosystems
Unitree (contextual)
Episode: Ep. 016 - What Unitree's Evolution Means For Robotics (Robotics) | Jordan Nanos, Reyk Knuhtsen, Niko Ciminelli
Haroon Inam
Co-founder and CEO of DG Matrix
DG Matrix
Episode: Ep. 015 - DG Matrix Explains 800V DC vs Legacy AC Distribution (Datacenter, Energy) | Jordan Nanos, Jeremie Eliahou Ontiveros, Nicolas Bontigui, Haroon Inam
Justin Lebar
Compiler researcher and software engineer
SemiAnalysis / Independent researcher
Episode: Ep. 014 - Finding Miscompiles For Fun, Not Profit (AI Infrastructure) | Justin Lebar & Jordan Nanos
Dylan Patel
AI/semiconductor analyst and commentator
SemiAnalysis contributor
Episode: Ep. 011 - GPT 5.5 vs Claude 4.7: OpenAI's Comeback From the Brink (Tokenomics) | Jordan Nanos, Dylan Patel, Doug O'Laughlin, Max Kan

Host

Jordan Nanos
Host of SemiAnalysis Weekly

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#213
Australia/Business
Apple Podcasts
#182
Finland/Business
Apple Podcasts
#195
Netherlands/Business
Apple Podcasts
#195
Hong Kong/Business
Apple Podcasts
#219
United Arab Emirates/Business
Apple Podcasts
#233
Singapore/Business

Talking Points

Recent interactions between the hosts and their guests.

Ep. 002 - InferenceX 2.0 Release (Technical Staff) | Cam Quilici, Bryan Shan, Doug O'Laughlin, Jordan Nanos
Q: How do these optimizations translate to real-world costs and deployment?
MTP and related optimizations significantly reduce cost per million tokens and increase tokens per second per user, enabling cheaper operation and potential end-user savings, while still allowing benchmarking to reflect real-world configurations, such as multi-node setups and mixed hardware fleets.
Ep. 002 - InferenceX 2.0 Release (Technical Staff) | Cam Quilici, Bryan Shan, Doug O'Laughlin, Jordan Nanos
Q: Why is there a 2.0 release and what are the major changes from 1.0 to 2.0 moving to InferenceX?
2.0 expands beyond single-node benchmarks to include disaggregated pre-fill, wide expert parallelism, speculative decoding, and broader hardware support (GB200/GB300) with multi-node testing, aiming for a more nuanced, production-like view of frontier inference and improved throughput and cost metrics.

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Frequently Asked Questions About SemiAnalysis Weekly

What is SemiAnalysis Weekly about and what kind of topics does it cover?

This show centers on deep-dive discussions at the intersection of semiconductors and AI, with a strong emphasis on AI infrastructure, model economics, and data-center hardware. Episodes often feature technical guests and industry analysts who unpack tight topics like token economics, GPU/CPU hardware tradeoffs, wafer-scale designs, and the business implications of AI tooling. A standout trait is the rigorous blend of hands-on engineering detail with market and macro context, frequently anchored by practical frameworks, calculators, and real-world case studies. Listeners can expect a candid, data-driven take on the evolving AI compute stack, where conversations regularly move from hardware design and efficiency to cloud economics, margins, a... more

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Recent guests on SemiAnalysis Weekly include:

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