AI SERVICES

AI Model Selection

AI model selection identifies the model and serving approach that best fit the real workload by measuring task quality, Turkish-language performance, privacy, latency, hardware requirements and total cost.

OVERVIEW

What is AI Model Selection?

The largest model is not automatically the best operational choice. Quality must be evaluated alongside concurrency, context size, response time, GPU memory and operating cost.

Candidate models are tested on representative tasks under equal conditions, and the recommendation includes a fallback path rather than depending on one model.

SERVICE SCOPE

Service scope

01

Use case and success criteria

Tasks, data boundaries, expected output and measurable acceptance criteria are defined.

02

Candidate shortlist

Models are filtered by language quality, context, license, security and hardware constraints.

03

Comparative evaluation

Representative prompts and datasets are used to compare quality, latency and resource use.

04

Capacity and cost

Concurrency, GPU/CPU, memory, storage and operating cost are modeled.

05

Recommendation

The selected model, serving approach, risks and fallback options are documented.

WHO IS IT FOR?

Who is it for?

  • Organizations choosing a local or hosted model for business workflows.
  • Teams comparing open-source and commercial models with measurable criteria.
  • Companies planning GPU capacity before investing in hardware.
DELIVERABLES

Deliverables

  • Model requirements and evaluation dataset
  • Comparable benchmark results
  • Hardware and capacity recommendation
  • Cost and licensing assessment
  • Reasoned model decision and fallback plan

How we work

01

Define the business scenario, data boundaries and measurable success criteria

02

Test candidate models under equal conditions with representative data and real tasks

03

Report the recommended model, hardware, capacity, cost and fallback path

FREQUENTLY ASKED QUESTIONS

Frequently asked questions

Do you always recommend a local model?

No. Local, private-cloud and managed models are compared against data boundaries, quality, latency and cost.

Can Turkish performance be tested?

Yes. Representative Turkish documents, terminology and real tasks are included in the evaluation.

FREE TECHNICAL ASSESSMENT

Let’s assess your requirements

We review your current environment, target and technical requirements in a 20–30 minute call. Scope, assumptions, deliverables and pricing are documented before work begins.

Request an assessment
AI Model Selection | Atlas Infrastructure