04Your infrastructure
Private AI Deployment
Open models running on your own hardware. Your data never leaves your perimeter.
Open-weight models served with vLLM on your cloud, on Modal, or on a GPU VPS we manage. An OpenAI-compatible endpoint, so your existing code works unchanged.
- Investment
- $12,000–20,000
- Duration
- 3–4 weeks
- Who it’s for
- Healthcare, legal and financial services; anyone with data-residency obligations; and anyone whose token spend has crossed roughly $2,000 a month, where the arithmetic alone makes the case.
Sound familiar?
“Legal says our data cannot go to OpenAI.” — or — “Our API bill is $4,000 a month and climbing.”
What you get
- Model selection and benchmarking on your tasks — Llama, Qwen, Mistral
- vLLM serving configuration tuned for your traffic shape
- GPU sizing and cost modelling
- Deployment to your cloud, Modal, or a managed GPU VPS
- Autoscaling and cold-start strategy
- An OpenAI-compatible endpoint so existing code works unchanged
- Monitoring for latency, throughput, tokens and cost
- A benchmark report against your current API, with the break-even volume calculated
- A runbook your team can operate without us
Not included
- Training or fine-tuning foundation models from scratch
- Procuring physical hardware
Questions
Start with this offer.
Six questions, two minutes. We read every submission ourselves and reply within two business days.