Fit the model to the hardware you can afford.
Choose a model and serving engine, the software that runs it and handles requests. Adapt them where measurements justify it, install on your hardware or cloud account, and hand over the configuration and operating instructions.
Who this is for
- You have a defined workload and a hardware or operating-budget constraint.
- You need a deployment you can operate, not just a model that loads.
What you receive
- An installed deployment within the agreed scope.
- The configuration and a measurement record.
- Operating and recovery instructions.
- A handover and agreed support plan.
How it runs
Measure the baseline
Establish what the current model and system do on your workload.
Change what limits the system
Test quantization, pruning, architecture and engine choices against quality as well as speed and memory.
Install and hand over
Test the deployment in its intended environment and document how to run it.
On your servers or in the cloud
Quantization is one way to reduce a model’s memory requirements. It stores the model’s numbers using fewer bits. We test whether that saving preserves the quality your task needs.
- Your cards
- Your cloud
- Deployment
We install on your cards or set up the deployment in your cloud account. The recommendation includes compute, engineering and ongoing operation.
In agent systems, the model also uses tools. We therefore test tool calls, permission rules and the full workflow before handover. Read about agent-system builds.
Scope, 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.