Capacity for your workload
We select GPUs for the model size, user count and request length. You know which resources are allocated to your project.
Open models on dedicated capacity
One configuration. One operations team.
We select GPUs for the model size, user count and request length. You know which resources are allocated to your project.
Connect your CRM, knowledge base, internal apps and automation through a shared API. Access rules are agreed for your team.
Infrastructure region: Kazakhstan. Together, we define data processing, service and model update terms.
Selection reviewed
Documents, images and everyday workflow automation.
Get a deployment quoteSoftware development and complex, multi-step tasks.
Get a deployment quoteEmployee assistants that work with text and images.
Get a deployment quoteDocument and coding tasks with a smaller deployment footprint.
Get a deployment quoteAnalysis, development and complex process automation.
Get a deployment quoteLong documents, research and tasks involving images.
Get a deployment quotePilots involving images and visual documents.
Get a deployment quoteThe flagship open Qwen for demanding tasks.
Get a deployment quoteWork assistants, coding and long requests.
Get a deployment quoteCoding, images and tool-based workflows.
Get a deployment quoteText, images and company assistants.
Get a deployment quoteA compact model for text, images and audio.
Get a deployment quoteDevelopment, documents and image-based tasks.
Get a deployment quoteGeneral-purpose assistants and automation.
Get a deployment quoteSoftware engineering across large codebases.
Get a deployment quoteReasoning and automation with an open OpenAI model.
Get a deployment quoteSmaller deployments and internal assistants.
Get a deployment quoteMultilingual assistants with image support.
Get a deployment quoteDedicated deployments are set up to order. Pricing depends on the model, GPUs and workload. We agree on the configuration, licensing and schedule before launch. Need another model? Send us its name and we will check deployment options.
Discuss hosting your model weights and connecting the model to your business systems.
Choose a version with the right quality, size and license. Then test the result on your examples.
from openai import OpenAI
client = OpenAI(
base_url="https://api.airouter.kz/api/v1",
api_key="air_live_your_key_here"
)
response = client.chat.completions.create(
model="your-deployed-model",
messages=[{"role": "user", "content": "Summarize this document"}]
)
print(response.choices[0].message.content)Tell us about your task, model and workload. We will propose a configuration with clear service terms.
Discuss a deployment