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Yea we’re seeing this all over the place at Lambda (https://lambdalabs.com https://lambdalabs.com). Most people running consistent GPU training or inference job
by sabalaba 7y ago
Yea we’re seeing this all over the place at Lambda (https://lambdalabs.com https://lambdalabs.com). Most people running consistent GPU training or inference jobs are building on-prem clusters or even groups of workstations.
It just doesn’t make financial sense to use the big the cloud service providers for those with consistent workloads. I always hear stories where folks have saved hundreds of thousands in infrastructure costs with owning + co-lo.
- chintler 7y agoI agree to this, and I think lambdalabs is quite precisely positioned for on-prem training. As an aside, thank you for your one-line installer script for tf/keras. Earlier, my team used to spend days figuring out the CUDA/tf/keras/CUDNN etc dependency charts, and you've brought that down to ~0.
- htrp 7y ago+1 for the one line install