What's the best generative AI infrastructure for my tech startup?

Hi everyone, we're exploring generative AI infrastructure options and looking for real-world insight from others building with these tools.

For startups working in AI, choosing the right infrastructure platform is a big decision. You need something scalable, secure, and developer-friendly without overwhelming your team. Based on G2 reviews, here are a few platforms I’m currently considering. If you’ve used any of these, I’d love to hear how they’ve worked for you.

Part of Google Cloud, Vertex AI is built for deploying and scaling machine learning models. It offers tools for model training, evaluation, and tuning across both open-source and proprietary models. Good fit if your team is already using the Google ecosystem.

Amazon’s generative AI infrastructure lets you build apps using models from Anthropic, Meta, and others via a unified API. It’s highly customizable and integrates directly with the rest of AWS, which is a plus if your infrastructure is already on their cloud.

While not an infrastructure tool in the traditional sense, Zoom has added generative AI into its platform for productivity and collaboration. Curious if anyone has leveraged this in productized workflows or startup tooling.

This is the raw power layer beneath many Google AI services, including TPU-based compute and custom hardware acceleration. It’s ideal if you want deep control over infrastructure and performance.

Focused on conversational AI, Botpress offers infrastructure and tooling for building custom chatbots and assistants. It’s open-source and developer-oriented, so may appeal to smaller teams looking for flexibility.

Have you worked with any of these platforms to support generative AI features in your product? I’d love to hear what went well, what challenges you ran into, and which platform you’d pick again if starting over.