# Why Cloud Providers Are Building Custom AI Chips in 2026

Page: https://stenobird.com/podcast/cloud-computing-with-fexingo-aws-azure-gcp-and-modern-infrastructure-conversations-7871918/why-cloud-providers-are-building-custom-ai-chips-in-2026
Text version: https://stenobird.com/podcast/cloud-computing-with-fexingo-aws-azure-gcp-and-modern-infrastructure-conversations-7871918/why-cloud-providers-are-building-custom-ai-chips-in-2026.md
Podcast: [Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations](https://stenobird.com/podcast/cloud-computing-with-fexingo-aws-azure-gcp-and-modern-infrastructure-conversations-7871918)
Published: 2026-06-17T20:01:54+00:00
Episode link: https://audio.fexingo.com/business/cloud-computing/episode-0057.mp3
Audio file: https://audio.fexingo.com/business/cloud-computing/episode-0057.mp3
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Duration seconds: 489

## Resource

In this episode, Lucas and Luna explore the strategic shift by major cloud providers—AWS, Microsoft Azure, and Google Cloud—to design their own AI chips, moving away from reliance on NVIDIA GPUs. They discuss AWS's Trainium and Inferentia, Microsoft's Maia 100, and Google's TPU v5, examining the cost, performance, and supply chain implications for enterprises. The hosts highlight how custom chips reduce costs by up to 50% for certain workloads and why this trend could reshape the cloud AI market. A key example: how a mid-sized healthcare software company cut inference costs by 40% switching from A100s to Trainium. The episode concludes by questioning whether this vertical integration will lead to stronger provider lock-in or more choice for customers. #AWS #Azure #GoogleCloud #AIChips #Trainium #Inferentia #Maia100 #TPUv5 #NVIDIA #CustomSilicon #CloudComputing #MachineLearning #Inference #Training #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure Keep every episode free: buymeacoffee.com/fexingo

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