Cloud TPU VMs are generally available
31–40 of 53 posts
Re: Cloud TPU VMs are generally available
#32Do these TPU VMs have preemptible/spot pricing? I'm just a hobbyist, but it always seemed annoying before that one would have to orchestrate VMs to spin up/down alongside spot instances of TPUs manually.
If you are flexible, you (or your scripts) can access a lot of compute power at odd hours!
Re: Cloud TPU VMs are generally available
#33Re: Cloud TPU VMs are generally available
#34Earlier quoted context omitted.
Thanks for the very kind feedback! We've wanted to provide TPU VMs since the beginning of the Cloud TPU program, and I'm delighted that you're enjoying them. Many people across Google contributed to this launch. We're definitely working on GKE integration, and we intend to provide more support for orchestration over time since individual Cloud TPU workloads are getting bigger and bigger. We'd love to hear any more de…
Curious what is the difficulty with GKE integration? From afar, it seems like the flavor of VM shouldn’t impact ability to run K8s.
Re: Cloud TPU VMs are generally available
#35Re: Cloud TPU VMs are generally available
#36Re: Cloud TPU VMs are generally available
#37Re: Cloud TPU VMs are generally available
#38For those like me who had no idea what this means: > Tensor Processing Units (TPUs) are Google's custom-developed application-specific integrated circuits (ASICs) used to accelerate machine learning workloads.
I would love to see a TPU implementation in the style of the Nand2Tetris[2] CPU, reduced to its bare essentials for learning purposes.
Are systolic array processors the best place to start for this kind of info? Thanks in advance if anyone answers. :)
[1]: https://drive.google.com/file/d/0Bx4hafXDDq2EMzRNcy1vSUxtcEk...
Re: Cloud TPU VMs are generally available
#39Are there cost savings over traditional GPU workloads?
When will GKE support TPU? And will there be preemptable instances?