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title: Inside Automat-it’s playbook for scaling AI startups on AWS
description: Automat-it CEO Ziv Kashtan shares lessons from helping AI startups scale on AWS, focusing on avoiding common pitfalls like spiraling GPU costs, fragile...
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# Inside Automat-it’s playbook for scaling AI startups on AWS

**[The Next Web](https://daily.dev/sources/tnw)** · 5 min read · 0 upvotes · 0 comments

## Summary

Automat-it CEO Ziv Kashtan shares lessons from helping AI startups scale on AWS, focusing on avoiding common pitfalls like spiraling GPU costs, fragile deployments, and operational debt. Key recommendations include adopting Infrastructure as Code from day one, implementing multi-account AWS strategies, using elastic compute like EKS Auto Mode or ECS on Fargate, and applying multi-tiered LLM strategies via Amazon Bedrock to route simpler tasks to cheaper models. A case study with mokSa.ai shows how GPU time-slicing on EKS reduced costs from $353 to $27 per camera per month — a 12x reduction. Kashtan also highlights upcoming EU AI Act compliance requirements as a driver for AWS governance tooling adoption.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/inside-automat-its-playbook-for-scaling-ai-startups-on-aws>

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Tags: [#aws](https://daily.dev/tags/aws), [#devops](https://daily.dev/tags/devops), [#gpu](https://daily.dev/tags/gpu), [#iac](https://daily.dev/tags/iac), [#finops](https://daily.dev/tags/finops)

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