Thank you to the comma team for this amazing event, sharing the livestream and high-quality videos. All credits to them. Follow their official kzbin.info for more livestreams. Check out blog.comma.ai/dev-speed/ | github.com/commaai/minikeyvalue/ | github.com/geohot/minikeyvalue | comma bounties blog.comma.ai/welcome-to-the-openpilot-team/ from $1250 buy -> comma 3X comma.ai/shop/comma-3x | openpilot.comma.ai is the best ADAS system in the world | If you have skill apply on -> comma.ai/jobs | Join the community on github.com/commaai/openpilot & discord.comma.ai | Check if your car is supported -> comma.ai/vehicles | How to setup your car comma.ai/setup | Stay up to date by following twitter.com/comma_ai | Support comma.ai at comma.ai/shop Chapters: 00:00 intro 00:28 old office 01:37 not enough power, airflow 02:50 new office - empty room 03:03 adding power, 800A, $125k for power 03:27 walls, aisle for air, racks 03:43 knocking out windows 04:03 big fans for free cooling 04:24 recirculating hot air 04:53 strip curtain 05:10 destratification fans 05:35 end result 06:09 climate control, fans only 06:40 used servers temperature history 07:13 power usage for climate control 07:50 8 kW total at full power for fans 08:40 vfd controller, 80A startup for fans 09:50 control policy for climate control 10:10 humidity target and control 12:55 the new supercomputer 14:00 comparable performance to other supercomputers 15:20 high level specs for the supercomputer 15:51 trainer servers 17:04 rollout servers 18:20 driving data, distributed file system, minikeyvalue 19:06 data diversity 20:07 training openpilot models 21:25 model overview 22:05 vison model 22:35 policy model 23:00 the future, tinygrad 23:40 tinyboxes 23:50 Q & A 24:20 high temperature datacenter 25:44 Greg is awesome 25:54 data center word usage, big fans, cost analysis 27:15 backup solution for power outage 27:25 production customer facing is azure, on-premise for research 27:48 cheap because we accept some downtime 28:50 question for research team 29:10 what GPU is used for training, most dollars per flop 29:40 GPU for rollout servers highest memory bandwith per flop 30:10 question for research team 30:36 time for the whole training process 31:16 too hot for people in the hot datacenter 32:14 lower all-in cost per petaflow for training 33:20 die temperature in hot datacenter 34:15 time to boot up the supercomputer 35:20 fan speeds, exhaust and intake fans at different speeds 36:38 data sales for $200k offer did anyone buy it?
@ps33019 ай бұрын
Is comma going to adopt liquid neural network for the policy model ?
@shimondoodkin11 ай бұрын
did you undervolted the gpus and cpus ...
@alex-dn9to11 ай бұрын
I wish GH did like a podcast or just regular KZbin videos
@shawnhagler121511 ай бұрын
I'm confused. Why do you keep re-uploading these?
@geohotarchive11 ай бұрын
@shawnhagler1215 we had no time to upload the high-quality ones. Only one more and all high-quality uploads are finished. All previous uploads have been low quality from the original live stream.
@nobo668711 ай бұрын
Why they don’t develop own Alberta Plan ?
@Cerv3ra11 ай бұрын
Why the recurrent reuploads of these_
@geohotarchive11 ай бұрын
@Cerv3ra we had no time to upload the high-quality ones. Only one more and all high-quality uploads are finished. All previous uploads have been low quality from the original live stream.
@liminal2711 ай бұрын
I want a hackable AI machine for home use where I can experiment, procedurally generate content, etc. I want the Altair 8800 of machine learning and AI.
@geohotarchive11 ай бұрын
@liminal6823 Preorder a tinybox today! (just $100) - buy.stripe.com/5kAaGL6lk9uX9nW144 (more info on tinygrad.org/)
@liminal2711 ай бұрын
@@geohotarchive Beautiful - thank you - more videos and info on this topic please - consumers and technologists are going to want this hardware at home for their own business and personal/entertainment purposes - it's a no-brainer imo.