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And robust air conditioning, too. Source: worked in an office full of dual-GPU deep learning workstations. We had to bring in those gigantic rental portable con
by m0zg 7y ago
And robust air conditioning, too. Source: worked in an office full of dual-GPU deep learning workstations. We had to bring in those gigantic rental portable conditioners in the summer, and re-do pretty much all of the existing wiring in the office, because electricians who installed the first iteration could not conceive of having two dozen ~900W workstations cranking away 24x7x365 in a single open office plan.
- chrisseaton 7y agoWhy do you have the GPUs inside the office with the people rather than in a server room under temperature control?
- m0zg 7y agoThere's _also_ a sizable server room with temperature control (which was also woefully underpowered when we moved into the office). It's just more convenient for researchers to have a couple of GPUs locally.
- chrisseaton 7y agoYou can remote GPUs pretty far these days - it’s possible to have a local system and have the cards still connected with PCI but on the other side of a wall.
- m0zg 7y agoYou'd need 100GbE NIC and network fabric for that to not be a waste of time though. That costs more than renting an industrial portable air conditioner.
- throw0101a 7y ago> Why do you have the GPUs inside the office with the people rather than in a server room under temperature control? Because Nvidia, the 800 lb / 400 kg gorilla of the GPU ML/AI space, has decreed that only "data centre class" GPUs can be used in a server room, and those are much more expensive than the GeForce and Titan cards: * https://www.theregister.co.uk/2018/01/03/nvidia_server_gpus/ https://www.theregister.co.uk/2018/01/03/nvidia_server_gpus/ * https://www.cnbc.com/2017/12/27/nvidia-limits-data-center-uses-for-geforce-titan-gpus.html https://www.cnbc.com/2017/12/27/nvidia-limits-data-center-us... So instead of spending $1000 on an 2080 or US$ 3000 on a Titan, per the EULA you have to spend US$ 8000 on a Tesla.