4 ms·
Ok, this is the base for actually self-hosted production use of these things now (if you don't care about licensing...). I've said in previous HN comments we've
by kkielhofner 4y ago
Ok, this is the base for actually self-hosted production use of these things now (if you don't care about licensing...). I've said in previous HN comments we've been a Dockerfile using an Nvidia base image away from this for a while now (just never got around to it myself).
I love the .ccp, Apple Silicon, etc projects but IMO for the time being Nvidia is still king when it comes to multi-user production use of these models with competitive response time, parameter count/size, etc.
Of course as others pointed out the quality of these models still leaves a lot to be desired but this is a good start for the inevitable actually open models, finetuned variants, etc that are being released on what seems like a daily basis at this point.
I'm walking through it (fun weekend project!) but my dual RTX 4090 dev workstation will almost certainly scream with these (even though VRAM isn't "great"). Over time with better and better models (with compatible licenses) the OpenAI lead will get smaller and smaller.
- cuuupid 4y agoI’m hitting ChatGPT or faster speeds on my 3090. Have it running the image with a reverse SSH tunnel to an EC2 instance that’s ferrying requests from the web. It only took 4 hours of an afternoon, and based off the trending Databricks article on HN we’re probably only days away from a commercially licensed model.
- kkielhofner 4y agoBit of a tangent, have you tried CloudFlare tunnels for what you're doing? Literally one liner to install cloudflared and boom service is on the internet with Cloudflare in front. I've even used it in cases where my host was behind multiple layers of NAT - just works. If you're concerned with speed and performance I guarantee it will blow away your current approach (while giving you all of the other Cloudflare stuff). Of course if you hate CF (fair enough) disregard :). I use this for an optimized hosted Whisper implementation I've been working on. It hits 120x realtime with large v2 on a 4090 and uses WebRTC to stream the audio in realtime with datachannels for ASR responses. Hopefully a "Show HN" soon once I get some legal stuff out of the way :). I mention it because AFAIK it's many multiples faster than the OpenAI hosted Whisper (especially for "realtime" speech). I expect we'll see these kinds of innovations and more come to self-hosted approaches generally and the open source community will pull a web hosting, etc Microsoft vs Linux/LAMP/etc 1990s/early 2000s situation on OpenAI where open source wins in the end. The fact that MS is so heavily invested in OpenAI is just history repeating itself. Yep, saw the Databricks article! I don't try to make specific time predictions but you're probably not far off :).