SemiAnalysis occasionally publishes non-semiconductor analysis, and I really enjoyed reading this one. I know almost nothing about robotics, but I found this kind of content really fascinating.
Remember Chinese doomers (well, Toronto/NYC Chinese and such) dunking on Unitree because their gross margin is too high and R&D spending is too low? Apparently it's quite enough. Wang Xingxing is not fooling around.
The most comprehensive breakdown of Unitree you’ll find anywhere in the world.
Actuators, manufacturing, economics of deployment, hands, suppliers, etc.
Go read!
@LightwheelAI closed $100M in Q1 2026 orders.
This marks the start of Physical AI at scale.
Two forces are converging: frontier model teams need high-quality data at scale, and industrial companies need systems built for deployment.
Both point to the same requirement: a continuous infrastructure loop across simulation, data, evaluation, and deployment.
Lightwheel marks this shift by turning Physical AI infrastructure into a deployment engine.
Read more: https://t.co/ErblYTlqAm
#Robotics #PhysicalAI #EmbodiedAI #IndustrialAI #Automation
CRACKED INTERN ALERT: SemiAnalysis has eyes in the sky. #1 Intern Kerem gave TOP datacenter intelligence to Reyk (Dylan Patel's baby nephew) on his flight to the Bahamas
Unitree filing that their blended 59% gross margins in 2025 YTD is incredible! But SemiAnalysis newsletter subscribers knew this nearly ~6 months ago. Here is our BoM from behind the paywall for proof😉 If you're wondering how 59% was possible, you're probably also missing why quadrupeds are already viable employees (1/2)🧵
InferenceX, formerly InferenceMAX, is changing the industry
Performance of hardware + software is constantly evolving with new models and new ML Systems techniques
All major GPUs from AMD and Nvidia + soon TPUs / Trainium
AMD said they'd send a pic of Lisa with their belt soon!
@zephyr_z9@teortaxesTex Increasingly less. Quite a few Chinese companies entirely domestic. JP companies are mainly chosen due to an established presence, capex hesitation for new mnfg lines, and the promise of quality which isn't always tenable