How Cloud Bills Now Charge for Shared Accelerator Memory
from Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations Hosted by Fexingo
Episode 86 of Cloud Computing with Fexingo dives into the latest line item on enterprise cloud invoices: shared accelerator memory. Lucas explains how AWS, Azure, and GCP are now charging for GPU and TPU memory that was previously bundled into compute costs. He breaks down the pricing model using NVIDIA H100 GPUs on AWS as a concrete example, showing how a single 80 GB H100 can now incur an extra $0.40 per GB per hour for memory reserved across instances. Luna questions whether this is a hidden price hike or a genuine reflection of supply constraints. The episode explores the infrastructure logic behind disaggregated memory, the impact on AI training budgets, and why this shift may accelerate adoption of memory pooling standards like CXL. A must-listen for any team managing cloud GPU workloads. #CloudComputing #AWS #Azure #GCP #GPU #TPU #NVIDIAH100 #SharedMemory #AcceleratorMemory #CXL #AIWorkloads #CloudBilling #Infrastructure #Technology #FexingoBusiness #BusinessPodcast #CloudEconomics #MemoryPooling Keep every episode free: buymeacoffee.com/fexingo
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