DaniLabs

Distributed Accelerated Neural Intelligence. Building inference on Bittensor around no data retention, speed, and cost.

[DaniLabs @danilabsai]

We’ve recorded over 137 million tokens of model usage, and we’re just getting started.

See how usage is changing week to week as we build on Bittensor. See where we’re going.

https://t.co/qH3GWygNWW

[DaniLabs @danilabsai]

We’re building AI inference on Bittensor. So far, we’ve recorded over 22,000 requests.

Take a look at the usage behind that number.

https://t.co/qH3GWygNWW

[DaniLabs @danilabsai]

Good AI infrastructure makes it easier to put useful features in people’s hands. Quick for the person using them. Affordable for the team running them.

https://t.co/82uSkqD30T

[DaniLabs @danilabsai]

The cost of AI inference can keep a useful feature from becoming part of the app everyone gets.

We’re building DaniLabs to bring that cost down.

[DaniLabs @danilabsai]

Your best AI feature shouldn’t be stuck in your most expensive plan.

We’re building DaniLabs to lower the cost of running AI so you can offer it on your standard plan.

Get updates at https://t.co/6DoR8OujeI.

[DaniLabs @danilabsai]

A good model gets your attention. A good service earns your next request.

Get to know what we’re building at DaniLabs: https://t.co/JXqGWNXton

[DaniLabs @danilabsai]

You’ve already explained what matters. AI shouldn’t make you repeat yourself as the conversation gets longer.

At DaniLabs, we think the experience of using AI deserves as much attention as the infrastructure behind it.

Take a look at what we’re building: https://t.co/JXqGWNXton

[DaniLabs @danilabsai]

@BalzoniVit59813 Good! This is the heads-down and build phase of the subnet!

But we are in talks (already testing with them switching over a part of their inference workflows actually) with potential customers and hope to have more come out on this soon!

[DaniLabs @danilabsai]

A quiet period and a rush of requests put different demands on an inference service.

DaniLabs is developing AI inference on Bittensor, with cost and response time as priorities across that changing workload.

Follow the build: https://t.co/6DoR8OujeI

[DaniLabs @danilabsai]

Choosing a model is a decision about what you trust with the work.

An inference service should respect that choice. You should know what’s answering.

How much visibility does your current service give you?

[DaniLabs @danilabsai]

People remember what an AI product lets them do. The infrastructure earns its place by making that experience hold together.

That’s the responsibility we’re taking on with DaniLabs.

[DaniLabs @danilabsai]

Behind every AI application is the compute that keeps it running.

When an AI tool stops working, someone still has a job to finish.

DaniLabs is building on Bittensor to bring distributed compute to that everyday demand for inference.

[DaniLabs @danilabsai]

Every AI feature has to fit a budget and a workflow. Those practical constraints guide DaniLabs as we build AI inference on Bittensor.

What are you building, and which inference constraint is hardest to work around?

[DaniLabs @danilabsai]

What would make your AI application practical to run?

Tell us about your workload, budget and response-time needs. We’re building AI inference on Bittensor and want to hear what developers need.

Join our Discord: https://t.co/4aAUQppGXY

[DaniLabs @danilabsai]

When an AI response holds up someone’s next step, response time becomes a product concern.

That’s why speed is a development priority for DaniLabs as we build AI inference on Bittensor.

[DaniLabs @danilabsai]

Getting an AI application working is just the beginning.

Keeping it practical as usage grows means keeping inference costs and response times in focus.

Those priorities guide DaniLabs as we build AI inference on Bittensor.

[DaniLabs @danilabsai]

The cost of compute shapes what gets built. That’s why more affordable AI inference is a development priority for DaniLabs.

We’re building on Bittensor with cost and response speed in focus.

[DaniLabs @danilabsai]

@wenyanhh RIP 😭 Can we get a link, though??

[DaniLabs @danilabsai]

That idea you keep coming back to? Tell us about it. 🌱

Join the conversation on Discord.