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Good point on IaaS front. One major use case for GPUs is ML. Google Cloud externalizes its ML through serverless APIs. At that point what matters is your abili
by vgt 11y ago
Good point on IaaS front.
One major use case for GPUs is ML. Google Cloud externalizes its ML through serverless APIs. At that point what matters is your ability to derive value from ML, rather than having exposure to building blocks.
- lmeyerov 11y agoThat's an anti-competitive position for an IaaS to take. "We already compete with your kind of software here, so we won't sell you the hardware"? I work on some analytics software that includes GPU ML algorithms & non-ML GPU algorithms, neither of which Google makes. Our peers do a lot of visual computing in AWS. Really weird thing to hear from a Google rep.
- boulos 11y agoPlease don't take it that way, Leo! How about: "Yes, we know! Sorry! If you just need some ML things and can use the Cloud ML or Cloud Vision services we've got something to tide you over. If not, we're always excited to get direct 'I want to do X' feedback that we can translate into 'Customers are demanding Y, and willing to pay Z'". Please don't take the comment to mean we're trying to box people out of this space. We're not. We do think (most? many?) people don't want to actually roll their own, but we love everyone. Disclosure: I work on Compute Engine.
- vgt 11y agowhat he said :)