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# A video AI model derived from rat neurons becomes available on AWS in limited preview
- URL: https://www.metatalks.ai/video-ai-model-derived-from-rat-neurons-available-on-aws/
- Published: 2026-09-23T16:07:00.000Z
- Updated: 2026-09-23T16:06:59.000Z
- Author: Al
- Tags: News, AI Infrastructure, GenerativeAI, #newswire

**A startup built a small software layer from recordings of how living rat neurons respond, and says it makes an open-source video model five times faster and 80% cheaper to run.**

Select AWS customers gained access to a video-generation model from The Biological Computing Company, or TBC, on September 22, [Wired](https://www.wired.com/story/ai-models-built-from-rat-brains-are-about-to-become-a-reality/?ref=metatalks.ai) reported. TBC and Amazon expect to widen the preview to all AWS enterprise customers soon. Until now the model was available only through the specialist cloud provider Bluesky Compute.

Underneath is an open-source video generator that TBC won't name beyond calling it a frontier model. TBC's neuron-derived layer adds less than 0.1% to that model. The modified model runs on ordinary AI hardware, with no living cells on the customer's side, and by the company's figures generates video five times faster than the unmodified one at 80% lower running cost.

At its San Francisco lab, TBC keeps rat brain cells on multi-electrode silicon arrays made by the Swiss firm 3Brain. Researchers send electrical signals into the neurons, record how they respond and look in that activity for computational patterns that can be written as software. Video came first because images map onto the electrode grid more readily than text.

TBC [says](https://www.tbc.co/post/aws-partnership?ref=metatalks.ai) it plans to run the model on Trainium, Amazon's in-house AI chip, and list it on AWS Marketplace. The marketplace already carries Australia's Cortical Labs, which combines lab-grown neurons with silicon chips to process data for companies.

Deap Ubhi, who heads technology for startups at AWS, said TBC appealed to Amazon because it makes existing video models more efficient rather than trying to reinvent AI architecture. He still wants to see whether the gains hold on videos ten minutes or an hour long. At that length a model has to stay consistent with everything it has already generated.