Cost-efficient private AI inference

01 — What You Get

02 — Why It Costs Less

Most inference pricing includes several layers between silicon and the developer. Capacity is bought, rented, repackaged, and metered before it reaches an API call. Each layer adds margin. Coordwave routes demand to idle Apple Silicon instead, where the hardware is already paid for and the marginal cost is mostly electricity.

Apple has shipped over 100 million machines with serious ML hardware: unified memory, high bandwidth, Neural Engines, and enough RAM in high-end systems to serve large MoE models. Most of that capacity sits idle for long stretches every day.

Coordwave turns that idle capacity into a private inference market.

Developers get lower prices without changing SDKs. Mac owners earn from machines they already own. The coordinator matches demand to providers, but prompts stay encrypted and hidden from the operator.

03 — The Privacy Problem

Routing to idle machines is only useful if the operator cannot read the request. Prompts can contain customer conversations, internal plans, source code, and other sensitive context. A marketplace promise is not enough when inference runs on hardware you do not own.

Coordwave is designed around a stricter guarantee: the coordinator can route requests, the provider can serve them, but neither should get a usable view of the prompt.

Private inference requires privacy that can be verified, not just promised.

04 — Privacy Architecture

Operator-blind by design

Coordwave removes the practical software paths an operator could use to observe inference data. Four layers work together, with hardware identity verified privately by the coordinator.

05 — Developer Experience

OpenAI-compatible API

Keep your SDK, request shape, and streaming code. Point the client at Coordwave and start routing private inference.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.coordwave.ai/v1",
    api_key="your-api-key"
)

response = client.chat.completions.create(
    model="gemma-4-26b",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="")

06 — Pricing

50% lower cost, comparable performance

Idle Apple Silicon keeps the cost structure simple. Pay per token with no subscription or minimum, with selected model prices set around 50% below typical API-provider rates for comparable models.

Prices per million tokens. Typical API means published list rates for comparable models from major API providers.

07 — Earn

Earn from your Mac

Install the provider, choose when your Mac is available, and earn from inference jobs matched by the network. During the public alpha, operators keep 100% of inference revenue.

$ curl -fsSL https://api.coordwave.ai/install.sh | bash