GitHub user kotselidis edited a comment on the discussion: Support for Timestral and Tirex-2 in AINode
Great, thanks. I will prepare and open the PRs soon. I am leading the TornadoVM project (www.tornadovm.org) that accelerates Java on GPUs. On top of TornadoVM I have built jitCast (https://github.com/beestream-ai/jitCast)which is framework that runs Java-based GPU-accelerated time-series models such as Chronos, Timestral and Tirex. I have integrated TornadoVM and Jitcast inside ApacheIoT's data node and I am running experiments to see if its faster to do the AI inference in-node versus shipping data to the AI node that runs Pytorch. I want to understand whether in-site in-node GPU accelerated data processing and AI inference beats the round-trip to the AI node. Would like to hear your expert thoughts on this idea GitHub link: https://github.com/apache/iotdb/discussions/19270#discussioncomment-19594827 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
