Cold-Serve Labs

Private testing

Open-weight LLM inference · Japan

Inference, served cold.

Open-weight language models on low-power hardware, behind an OpenAI-compatible API. We write our own kernels and tune them for tokens per watt. Nothing you send is stored, logged or used for training.

  • OpenAI-compatible
  • Zero data retention
  • Tuned per watt

01 · Offer

What we offer

One API, open models, nothing kept.

  • API

    OpenAI-compatible API

    Chat completions with streaming and token usage. Point an existing OpenAI client at our base URL and it works.

  • Models

    Open-weight models

    We serve models whose weights are openly published. The /models endpoint lists each one with its price.

  • Data

    Zero data retention

    Prompts and outputs are not stored after the request, not logged, and never used for training.

02 · Efficiency and privacy

How we run it

Tokens per watt.

Efficiency first

We write our own kernels and measure every change against the hardware's limit. Less power per token means less heat and a lower running cost.

  • Kernels written in house
  • Every change measured against the hardware's limit
  • Efficiency counted per watt, not only per second

Zero data retention

Content exists only while your request runs. We keep the meter, not the message.

Prompts stored
No
Outputs stored
No
Content in logs or crash reports
No
Training on your data
No
Kept
Request metadata for billing and uptime (details)

Requests are processed on our own servers in Japan.

Status: private testing

Models, prices and uptime will be listed here when the public endpoint opens.

Preview the API

03 · Contact

Talk to us

hello@coldservelabs.com

Privacy and data requests: privacy@coldservelabs.com