Know what to run before you buy hardware.
Compare models, API use, cloud and local hardware against your task, quality requirements and total operating budget. Start with a measured recommendation rather than a shopping list.
Who this is for
- You are choosing between an API, cloud GPUs and hardware you control.
- Your prototype works, but its quality, response time or operating cost needs a closer look.
What you receive
- A comparison of model candidates on representative inputs.
- A baseline for quality, response time and resource use.
- A total-cost recommendation with its assumptions.
- A proposed scope for the next step.
How it runs
Define the decision
Agree the task, constraints and acceptance checks.
Measure the candidates
Test the relevant model and hardware options on your examples.
Explain the recommendation
Document what fits, what does not and why. Keeping your current API remains a valid outcome.
Give each model a job
Chat models generate answers and can use tools. Embedding models represent text as numbers for searching by meaning. Reranking models check search results and order them by relevance to the question. We choose the combination for your task. Explanations and examples of these terms.
Evaluation before intervention
Read a lab experiment where a cleaner comparison changed the conclusion.
Read the research noteScope, handover and support
Your proposal sets out the work, price, start and handover dates, and what is needed from you. Hardware, cloud charges, engineering and ongoing operation belong in the cost discussion. On-site days and continuing support are agreed as part of the engagement. Our engineers keep supporting the systems they build under those terms.
Questions about the work
How is the price decided?
From your workload, hardware and the implementation and support scope we agree together. Your proposal separates the engineering work from hardware, cloud and ongoing operating costs.
Who keeps supporting the system?
We agree support coverage, on-site work and how to handle problems before starting.
Do I need to buy hardware first?
No. Start with your workload and budget. We compare the options before recommending a purchase or deployment.