Self-hosted LLM: your own AI endpoint

Q: When does self-hosting beat the API?

Past a breakeven monthly token volume: self-hosting trades a variable per-token bill for fixed GPU infrastructure. Below that volume, the API is cheaper — and we'll tell you that. Run your numbers in the cost calculator demo on this page.

Q: What about data privacy?

The models run inside your cloud account. Your requests never touch a third-party API — your data never leaves your cloud.

Q: What do I maintain?

You own the infrastructure; we hand over a runbook covering updates, scaling, and cost checks. If you'd rather not touch it, the $99/mo care plan covers ongoing monitoring and model updates.

Engineering · open source

Built on real, published infrastructure

The engineering behind your deployment is real open-source work: Emberlane — Anish's AWS scale-to-zero LLM inference stack (Rust, Terraform, vLLM), published on GitHub. Your endpoint is built on the same patterns: models that scale to zero when idle and spin up when traffic arrives.

Run your numbers first: the LLM cost calculator demo compares your current API spend against self-hosted cost at your volume — so you see the breakeven before you spend anything.

⟨/⟩ See the code on GitHub

Open-source project by Anish Kumar; your deployment is a separate, supported build in your own cloud account.

Packages

Proposed pricing — these anchors are proposed, not final. Your fixed quote is confirmed before any work starts. Cloud GPU costs are yours and are estimated up front.

Package	What you get	Delivery	Price
Deploy	One open-weight model on GPU in your AWS/GCP account, scale-to-zero, health checks, and an up-front monthly cost estimate.	2 weeks	$2,000
Standard	Everything in Deploy, plus multi-model routing, autoscaling, quantized models for lower GPU cost, monitoring + alerting, and a runbook.	4 weeks	$4,500
Scale	Everything in Standard, plus multi-zone high availability, deployment of your fine-tuned weights, a cost-optimization review, and team handoff.	6 weeks	$9,000

What's included

Model endpoint running in your cloud account — your keys, your billing, your data.
Scale-to-zero infrastructure: idle capacity spins down so you don't pay for nothing.
Up-front cost estimate for your expected volume — before you commit.
Runbook: updates, scaling, and cost checks, written for your team.

Honest notes, before you spend: cloud GPU costs are yours — we estimate them for your expected volume before you commit. Self-hosting wins past a breakeven monthly volume; below it, the API is cheaper, and we'll tell you that. And your data never leaves your cloud account — no third-party API ever sees a request.

Care plan: $99/mo — GPU spend watch, model updates, and uptime monitoring. Defects against the agreed scope are covered by our 14-day defect window.

Before we start, we'll ask for

Your cloud account access and region preference.
Expected request volume and latency requirements.
Which models you want to run — or help choosing the smallest one that does the job.

Frequently asked questions

When does self-hosting beat the API?

Past a breakeven monthly token volume: self-hosting trades a variable per-token bill for fixed GPU infrastructure. Below that volume, the API is cheaper — and we'll tell you. Run your numbers in the cost calculator demo above.

What about data privacy?

The models run inside your cloud account. Your requests never touch a third-party API — your data never leaves your cloud.

What do I maintain?

You own the infrastructure; we hand over a runbook covering updates, scaling, and cost checks. If you'd rather not touch it, the care plan covers ongoing monitoring and model updates.

Request a quote for self-hosting

Your own AI endpoint. No per-token meter.