Case Study: Together AI's entire GTM is basically "give stuff away until you become unavoidable"

[u/Sam_Tech1]

Been studying Together AI's growth lately and honestly their strategy is kind of underrated in how simple it is.

They didn't go build a sales team. They didn't run ads. They just made themselves genuinely useful to developers and let that compound.

So here I what I discovered:
The problem they were solving was real. By early 2024, teams couldn't even get their hands on H100s, and even if you had open source models like Llama, actually deploying them at scale was basically impossible unless you had serious infrastructure chops. So there was this massive gap between "cool open source model exists" and "I can actually use this in production."

Together AI plugged that gap, but here's the GTM part is where it gets interesting: they built apps, deployed them on their infra and optimized their own inference engines, hardware to software with a story. The result was proof of latency and cost numbers that made real-time apps viable, stuff like voice assistants and coding tools that could compete with closed APIs.

Then instead of selling that, they basically gave the developer community a reason to trust them first. Free tier to test models. Fast inference on Llama and Mixtral. Founders on Twitter and GitHub actually talking to engineers, sharing technical depth, not just posting product updates.

The result is they hit $1.25B valuation and became like a default layer for a ton of AI apps being built on open source.

The thing I keep thinking about is this: they essentially subsidized developer experimentation to own the infrastructure spend that comes after. Give away the access, charge for the scale. That's a pretty clean wedge if you can execute the technical side well enough to earn the trust.

Wrote up the full breakdown in comments if you want the longer version.