chrisischris
Working on this tool to make running open-weight models on your hardware and accessing them from anywhere privately simple. Also has the option of sharing your compute with others with the built in credit system.
You can also optionally share your compute with others in order to gain credits they can use in the future. One of the many use cases would be if you only have 1 computer and you want to use open weight models while you work but running that model would slow down the pc, so you could instead earn credits by sharing compute when you aren't working then redeem those credits during the day. Also gives people a way to access models that they otherwise couldn't afford by saving up those credits.
Major updates over the last 6 weeks: Built a cross-platform CLI for running your own inference node. Handles auth, model management, and serving through a single command.
Shipped an OpenAI-compatible API with streaming and tool calling. Added web search to the chat interface.
Rewrote the job queue to guarantee FIFO ordering per model+context and fixed a race condition causing out-of-order assignments. Added circuit breakers for connection stability.
Wrapping up alpha testing in the next couple weeks, then inviting people from the email list into beta: https://sporeintel.com
So I've been building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it.
We're planning a closed beta in February for folks on the email list – testing the core flow of running your own node, accessing it remotely, and participating in the credit economy. Looking for developers and teams who want to kick the tires on this before we open it up more widely.
If you're interested in the beta: https://sporeintel.com/
So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it. Your idle GPU time can earn credits for accessing bigger models. The goal is making it dead simple to use your home hardware from wherever you're working.
It's for anyone who wants infrastructure optionality: developers who don't want vendor lock-in, businesses with compliance requirements, or just people who don't want their data sent to third parties.
Get notified when we launch: https://sporeintel.com