platoseed
Software and hardware to run neural networks faster and cheaper
Computer Science and Electrical Engineering. Focused on creating simple software and fast hardware for running neural networks.
We’re making hardware to run neural nets with orders of magnitude less latency, energy, and 5x less RAM. Right now, we’re proving it with software.
Deepsilicon announces a full-stack system to run transformer-based models on a single chip, including existing hardware, aiming to reduce latency, energy use, and RAM with a custom ASIC. They offer near-infinite chiplet customization, 5x memory reduction on Nvidia hardware, and a 50% YC-discount for training and deployment.

An AI physics simulator for AI chip design

General-purpose robots built for industry