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They do, but they need to appease a dozen different teams from a dozen different labs, forcing nvidia to take general approaches and/or dictating approaches and
by Workaccount2 11mo ago
They do, but they need to appease a dozen different teams from a dozen different labs, forcing nvidia to take general approaches and/or dictating approaches and pigeonholing labs into using those methods.
Deepmind can do whatever they want, and get the exact hardware to match it. It's a massive advantage when you can discover a bespoke way of running a filter, and you can get a hardware implementation of it without having to share that with any third parties. If OpenAI takes a new find to Nvidia, everyone else using Nvidia chips gets it too.
- 01100011 11mo agoThis ignores the way it often works: Customer comes to NVDA with a problem and NVDA comes up with a solution. This solution now adds value for every customer. In your example, if OpenAI makes a massive new find they aren't taking it to NVDA. Nvidia has the advantage of a broad base of customers that gives it a lot of information on what needs work and it tries to quickly respond to those deficiencies.
- Workaccount2 11mo ago>In your example, if OpenAI makes a massive new find they aren't taking it to NVDA. Right, and therefore they are stuck doing it in software, while google can do it in hardware.