『The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure』のカバーアート

The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure

The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure

著者： Fexingo
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Every day, Lucas and Luna dissect the trillion-dollar business of cloud infrastructure — the physical data centers, the regional availability zones, the hyperscaler pricing wars, and the enterprise migrations that define modern IT. They track AWS, Azure, and GCP not as product releases but as business stories: how AWS's profit margins shape Amazon's overall earnings, why Azure's hybrid strategy wins regulated industries, and whether GCP's AI push can close the revenue gap. Lucas brings the numbers — market share shifts, capital expenditure budgets, service-level agreement fine print — while Luna presses on the strategic trade-offs: lock-in risk versus operational simplicity, open-source alternatives versus proprietary tools, multi-cloud flexibility versus negotiating leverage. They name names — which Fortune 500 companies are repatriating workloads, which startups are betting on which cloud, which regions are getting new data center builds. Each episode is a standalone conversation about a specific angle: the economics of reserved instances, the politics of cloud regulation in Europe, the hidden cost of egress fees, or the infrastructure behind a major AI model deployment. The listener is a technology leader, procurement strategist, or investor who needs to understand cloud as a business decision — not just a technical one. How much should your organization pay for compute, and who really owns your data once it's in the cloud? #CloudBusiness #AWS #Azure #GCP #EnterpriseInfrastructure #DataCenters #Hyperscalers #CloudEconomics #MultiCloud #CloudMigration #ITStrategy #SoftwareDefined #InfrastructureAsCode #FexingoBusiness #BusinessPodcast #TechnologyPodcast #TechBusiness #CloudWars Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
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  • Why Enterprise Cloud Contracts Now Have GPU Resale Clauses

    Why Enterprise Cloud Contracts Now Have GPU Resale Clauses
    2026/06/06
    Episode 35 of The Cloud Business Podcast dives into a new clause appearing in enterprise cloud contracts: the GPU resale right. Lucas and Luna explore why cloud providers are offering customers the ability to resell unused GPU capacity on secondary markets, how this changes the economics of large-scale AI training, and what it means for procurement. With GPU supply still constrained and prices volatile, these clauses could reshape enterprise negotiation leverage. The hosts examine a specific case: a multinational pharmaceutical company that used its GPU resale clause to reduce net compute costs by 18% in Q1 2026. They also discuss the risks, including pricing benchmarks and legal complexity. If you're negotiating a cloud contract for AI workloads, this episode explains a provision that could save millions. #GPUResaleClauses #EnterpriseCloud #CloudContracts #AITraining #CloudProcurement #GPUConstraints #CloudEconomics #AWS #Azure #GCP #CloudNegotiation #SecondaryMarket #AIInfrastructure #CloudCostOptimization #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Cloud Regions Are Competing for Enterprise AI Workloads

    How Cloud Regions Are Competing for Enterprise AI Workloads
    2026/06/06
    In this episode of The Cloud Business Podcast, Lucas and Luna explore how major cloud providers are shifting their geographic expansion strategies to compete on AI-specific factors like inference latency, GPU availability, and data residency. Using concrete examples from AWS, Azure, and GCP's recent region openings, they drill into why enterprise architects should now consider region-level GPU capacity commitments as a negotiation lever in cloud contracts. The hosts examine the emerging practice of 'cloud region arbitrage'—where companies deliberately distribute AI workloads across multiple regions to optimize for cost, latency, and regulatory compliance. They also discuss how secondary regions in places like Malaysia, Spain, and Saudi Arabia are becoming AI hubs due to aggressive tax incentives and renewable energy credits. This episode includes a light listener-support segment. #CloudRegions #AIWorkloads #AWS #Azure #GCP #InferenceLatency #GPUAvailability #DataResidency #CloudRegionArbitrage #EnterpriseAI #CloudInfrastructure #HybridCloud #Multicloud #CloudCostOptimization #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • Why Cloud Costs Surge When Data Gets Hot

    Why Cloud Costs Surge When Data Gets Hot
    2026/06/05
    Lucas and Luna dig into a cost trap most enterprises overlook: the data temperature problem. Lucas explains how storage tiers — hot, cool, cold, and archive — create explosive cost curves when access patterns shift. He cites a 2025 IDC report showing that 35% of enterprise cloud storage spend is wasted on data stored in hot tiers that is accessed less than once a quarter. They discuss real-world examples from a Fortune 500 retailer that moved cold logs to cold tier and cut storage costs by 68 percent. The hosts also cover how AI data pipelines are making temperature management harder, with GPUs demanding hot access to training datasets while inference data can sit colder. Lucas walks through a simple tagging strategy using AWS S3 lifecycle policies and Azure Blob Storage access tiers. The episode closes with a practical take: enterprises should audit their storage classes every quarter, not just at migration. #CloudStorage #DataTemperature #HotData #ColdData #CloudCosts #AWS #Azure #GCP #IDC #Fortune500 #StorageTiers #LifecyclePolicies #S3 #BlobStorage #AI #GPUs #BusinessAndTechnology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    6 分
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