DaniLabsNo data retention.
We’re designing for prompts and responses to be processed without being stored after a request.
01 — Your dataAn inference subnet on Bittensor
Intelligence,
distributed.
Building AI inference on Bittensor around three priorities: no data retention, speed, and price.
DANI / Inference labStudy 001
01 /The idea
Your data.
Your time. Your budget.
DaniLabs stands for Distributed Accelerated Neural Intelligence. We’re developing an inference subnet on Bittensor: a network focused on running AI models.
Our priorities are no data retention, fast responses, and competitive pricing. They guide how we’re developing the network and the experience of using it.
02 /Three priorities
Design priorities for the network we’re building.
Fast responses.
Optimize the time from a request to a useful response. Speed is a core priority for the inference network.
02 — Your timeCompetitive pricing.
Make inference cost competitive for developers and applications. Pricing will take shape alongside the offering.
03 — Your budget03 /Inside the lab
Early days.
Clear direction.
In developmentThe service is in development. Follow our progress as we turn these priorities into an inference network.
01Defined
The priorities
No data retention, speed, and price guide the design of DaniLabs.
02In development
The subnet
Developing the inference subnet. Technical details will follow as the design takes shape.
03Ahead
The next chapter
Watch our X account for future announcements and ways to participate.
The lab is just getting started
Be here for what’s next.
Follow @danilabsai for updates from DaniLabs.