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I'm talking about Google sequestering tensor cores and writing the distributed training code for g-cloud pods. Even your nice embedded inference device was desi
by alpineidyll3 6y ago
I'm talking about Google sequestering tensor cores and writing the distributed training code for g-cloud pods. Even your nice embedded inference device was designed with the hopes you'd grab some high performance compute to train something high quality. (These embedded devices are useless for training)
- scsilver 6y agoFair enough, but with everything google, the free tier good enough for a prototype and personal use. If I need to scale it, there are other options. For me, I appreciate the option of this model, it makes high tech accessible to low capital ventures. And sometimes buying locked in services is the rational decision taking into account the costs of learning other platforms and maintaining a vender unlocked platform.