Trigger: Inference deployment

Inference deployment

Models served fast and reliably, at a cost per request you can predict.

Pillar
AI
Typical timeline
1 to 4 weeks
Price
Quoted in a written scope after the first call
01Who it is for

Who it is for

Teams with a working model in a notebook that now has to answer real requests, or with an AI feature whose API bill keeps growing.

02The problem

The problem

A model that works on a laptop is not a product. It has to answer in time, scale with traffic, recover from failures, and cost less per request than the feature earns.

03What you get5 deliverables

What you get

  1. 01A serving setup (vLLM, TGI, Triton, or a managed endpoint) sized to your traffic
  2. 02An API with authentication, rate limits, and request logs
  3. 03Load tests that measure latency and cost per request
  4. 04Autoscaling and monitoring with alerts
  5. 05A cost comparison of self-hosting against API providers at your volume
04How it works4 steps

How it works

  1. Step 1

    Measure the need

    Traffic, latency target, and budget per request.

  2. Step 2

    Choose the setup

    Hardware, serving stack, and quantisation where it helps.

  3. Step 3

    Deploy and load test

    Real numbers before real users.

  4. Step 4

    Monitor

    Dashboards and alerts handed to your team.

05Timeline

Timeline

1 to 4 weeks

A typical range for this kind of work. The written scope we send after the first call sets your actual dates.

06Related work

Related work

07Questions

Questions buyers ask

Should we self-host or use an API?

At low volume an API is usually cheaper and simpler. Self-hosting starts to pay at steady high volume, or when data cannot leave your servers. We run the numbers for your case.

Can you make our model faster?

Often, through quantisation, batching, caching, or a smaller model. We measure before and after so you see the difference.

Do you deploy to on-premise servers?

Yes, if the hardware fits the model. We check the specs early.

09Output: book a call

Tell us what you are trying to build

A 30-minute call. You explain the problem, we ask questions, and you leave knowing whether we are the right team and what the work would involve.