About Normal Computing
Thermodynamic-computing ASICs and AI EDA; $50M Samsung-led round Mar 2026; taped out world's first thermodynamic chip CN101 in Aug 2025.
Normal Computing was founded in 2022 and is based in San Francisco, CA, United States. It is listed under Analog Computing, AI Accelerators, Custom Silicon. Reported funding is $50M strategic (Mar 2026, led by Samsung Catalyst Fund; total $85M+).
Compute Technologies
- Analog Computing
- AI Accelerators
- Custom Silicon
What Normal Computing works on
Analog Computing
Analog computing represents numbers as continuous physical quantities, such as voltage or current, rather than as strings of 0s and 1s. The physics of the circuit does the calculation. For example, Ohm's law and Kirchhoff's current law let a grid of resistors multiply and add numbers at once.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
Custom Silicon
Custom silicon means a company designs its own chips for its own products or data centers instead of buying standard parts. The chip is made by a foundry such as TSMC, but the design belongs to the customer.
Also in United States
Oxmiq Labs, Tesla Dojo, Meta (MTIA), Microsoft (Azure Maia), Qualcomm
