AI inference for GCC teams

Enterprise-grade AI inference. Ready today.

Current open-weight models on purpose-built AI chips from SambaNova, up to 10x faster than GPU-based inference. Start self-service in minutes with an OpenAI-compatible API, or speak with our team about an enterprise contract.

Start Building Speak with our team

A developer focused on code at her screen

up to10xfaster inference than GPU-based alternativesbenchmarks

713output tokens per second on gpt-oss-120bmethod

192Ktokens of context on MiniMax M2.7model

ISO 27001certified information securitycertificate

Output Throughput, p50, 10K input / 1K output, single request. Last measured: July 2026.

Why Infercom

Built for production, not for demos

Measured speed

We publish what we measure on our production API, with the method. No promises we cannot show.

Powered by SambaNova

Purpose-built AI chips keep the model's working data next to the compute. That is what makes inference up to 10x faster than on GPUs.

Enterprise-grade

ISO 27001 certified, a DPA with Standard Contractual Clauses, dedicated support, and custom SLAs with Dedicated Capacity.

Open-weight, no lock-in

An OpenAI-compatible API and open-weight models. Switch models at any time, or run the same model elsewhere.

Models

Current open-weight models

Served at the precision their makers released them in. Speeds measured on our production API.

All models and prices

Use cases

Built for agentic workloads

Agentic coding

Faster answers mean faster iterations for coding agents and developer tools.

Agentic workflows

Multi-step automation, where every step waits for the one before.

Document processing

Up to 192K tokens of context for long contracts, reports and compliance documents.

Knowledge Q&A

Fast answers over your own documents and knowledge bases.

Try it

Switch in one line

Point your OpenAI SDK at our endpoint and pick a model. Nothing else in your code changes.

Start Building Read the docs

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.infercom.ai/v1",  # the one line that changes
    api_key="your-api-key",
)

response = client.chat.completions.create(
    model="gpt-oss-120b",
    messages=[{"role": "user", "content": "Hello"}],
)

Ways to run

Same API, from your first key to your own racks

Start self-service, then grow into guaranteed capacity or your own hardware. Your code and the performance stay the same.

Where your data runs

Clear about location

The Inference API runs in our data center in Munich, Germany (Equinix). ISO 27001 certified, with a Zero Data Retention Policy for prompts and outputs and a DPA with Standard Contractual Clauses.