- Start building immediately
- Access free open models
- Experiment with agents and workflows
- Community support
- Usage analytics
Pricing
Low-cost serverless inference
For ambitious AI workloads
Pro
For active builders with more usage.
$14
Per month on annual plan ($168 billed up front). $16 if billed monthly.
Join the beta- Everything in Free
- Higher usage allowances
- Priority network access
- Access leading open models
- Priority support
- Pay only for what you use
- Access leading open models
- Usage analytics
Private on-premises inference
For enterprise and business
Enterprise
Turn your organization's devices into a private intelligence network.
Custom
Contact for flexible pricing.
- Privacy
- Data locality
- Existing hardware, put to work
- Intelligence under your control
Questions?Answered.
Aquaduck encrypts data in transit and is designed to keep sensitive account and billing information off contributor devices. For organizations with stricter requirements, private Aquaduck deployments can run entirely on company-owned hardware.
Aquaduck taps compute that is already available across the network instead of relying solely on centralized data centers. We're rebuilding the supply layer for AI inference around distributed hardware. Contributors expand the network's available intelligence, while Aquaduck intelligently routes inference to deliver strong model performance at competitive pricing.
Aquaduck turns distributed hardware into a single intelligence network. Contributors expand the network's available intelligence and earn for participating, while builders access it through a unified API. It's a new approach to AI infrastructure that aligns everyone who helps power the network.
Aquaduck handles machine health automatically. Devices that go offline are removed from routing within seconds, and workers automatically reconnect after network interruptions. If a device drops during an in-flight request, the request fails fast so it can be retried immediately. Aquaduck is continuously improving how retries and recovery are handled across the network.