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Fantastic blog! In your post, you highlighted the use of Cloud TPU v5e with GKE for AI inference. How does this setup maintain high performance while managing c
by amrutha_ 3y ago
Fantastic blog! In your post, you highlighted the use of Cloud TPU v5e with GKE for AI inference. How does this setup maintain high performance while managing costs, especially in high-demand scenarios like real-time data processing or live interactions?
- bobbypage 3y agoThank you! Regarding performance, TPU v5e which was benchmarked in the MLPerf results and showed impressive performance/dollar, see https://cloud.google.com/blog/products/compute/performance-per-dollar-of-gpus-and-tpus-for-ai-inference https://cloud.google.com/blog/products/compute/performance-p... which has more details. Combined with k8s & GKE, TPU v5e workloads can leverage auto-scaling, for example setting up autoscaling based on traffic, so workloads can scale down rapidly when not in use, increasing cost efficiency.
- ametrau 3y agoCan I use LLMs to make more convincing sock puppet questions?