Self-hosting a 70B model in 2026 looks like this on the left.
Three platforms, a router you’ll add once you hit production, and you in the middle wiring environment variables between all of them. Vercel’s 15-second function timeout silently kills your model calls. Runpod bills you while idle or makes you eat cold starts.
When something breaks at 2am, you are the SRE.
We deleted that.
You tell Claude Code what you want. Nexlayer brings up the entire system in one deploy — frontend, API, database, vectors, and a Llama 70B model on a GPU. Then our agents take over.
They watch logs, restart pods, run debug proxies, scale services, fix problems before you see them, and notify you with the context when they can’t.
One platform. Five components. Zero on-call. No env wiring. No timeout. No CUDA.
The unit of deployment changed and the operator changed with it. Most clouds haven’t noticed.
https://nexlayer.com/resources/blog/gpu-in-your-yaml
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