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02 / DVAR-DYNAMIC / INFERENCE

Set a quality threshold.
Never choose a model again.

Dvar-Dynamic sits behind one OpenAI-compatible endpoint. Your eval sets the quality bar. Dvar serves the cheapest model that clears it, A/B-verified on your traffic, and moves you to a better model the day one ships.

Book an inference audit Compare models
INFERENCE ROUTEROPENAI-COMPATIBLE
YOUR APPRequestprompt + policy
DVARRouteeval gate + cheapest clearing model
01 / SHAREDFast startvariable demand
02 / DEDICATEDOwn the loadreserved throughput
03 / TUNEDBest fitworkflow quality

INSIDE THE INFERENCE PORTAL

Connect, test, and verify the path to production.

Every production engagement comes with a practical operator surface: configure the server-side contract, test the deployed model, and verify that the serving path is ready before your team scales traffic.

Dvar Partner Portal API setup page showing the endpoint, model, and server-side integration steps
01 / API SETUP

OpenAI-compatible setup with the endpoint, approved model, and production boundary explained in a few steps.

Dvar Partner Portal playground page showing a connected deployed model and model response panel
02 / CONTROLLED TESTING

A safe playground to test the deployed model before application traffic reaches it.

COST / QUALITY / CONTROL

The deployment choice should follow the workload.

Do not buy a dedicated GPU on day one. Do not leave a high-volume workflow on a shared endpoint forever. The eval and the traffic decide when to move; Dvar gives operators the path.

MODEBEST WHENWHAT YOU GET
Shared inferencePilots, variable demand, fast startPay for usage, policy controls, metering
Dedicated inferenceSteady volume, predictable latencyReserved throughput, private capacity, lower unit cost at scale
Dvar-tuned modelRepeatable work where quality compoundsCustom evaluation, adapter training, operated improvement loop

API SURFACE

Simple enough for a pilot.
Serious enough for production.

from openai import OpenAI client = OpenAI( api_key=os.environ["DVAR_API_KEY"], base_url="https://api.dvarlabs.ai/v1" ) response = client.chat.completions.create( model="dvar/dynamic", messages=messages, )

OpenAI-compatible by default. Add routing, spend limits, and deployment policy without changing your application contract.

TALK TO AN ENGINEER

Everyone sells an API.
Dvar sends an engineer.

Bring one real workload. We build the eval with your team from your own traffic, benchmark the models against it, and stay on the account from pilot through production.

Book a workload review