Why Cloud Bills Now Tax GPU Memory Bandwidth
from Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations Hosted by Fexingo
Cloud bills are getting more granular — and more expensive. In this episode, Lucas and Luna dig into the latest line item appearing on enterprise invoices: GPU memory bandwidth charges. AWS, Azure, and Google Cloud have all introduced per-gigabyte-per-second pricing for high-bandwidth memory on their AI training instances. Lucas explains how NVIDIA's H100 and B200 GPUs with HBM3 and HBM4 memory are driving the change, and why a single training run on a p5.48xlarge instance can rack up thousands in bandwidth fees alone. Luna pushes back on whether this is legitimate cost recovery or just another way to extract rent from AI workloads. They walk through a concrete example: fine-tuning a 70-billion-parameter model for 30 days and how the bandwidth charge adds 15-20% to the total bill. If you're running GPU workloads in the cloud, this is the hidden tax you need to watch. #GPU #MemoryBandwidth #HBM #NVIDIA #H100 #B200 #CloudComputing #AWS #Azure #GoogleCloud #AICosts #Training #Inference #CloudBills #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure Keep every episode free: buymeacoffee.com/fexingo
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