Frameworks and comparisons for picking the right provider and service type for a workload.
What AI and machine learning workloads need from a cloud platform, and how AWS, Google Cloud, Azure and Alibaba Cloud each provide GPU compute, managed ML platforms and hosted foundation models.
A repeatable three-part framework for picking a cloud platform: define hard constraints, score providers on weighted criteria, and validate with a proof of concept.
How AWS, Azure and Google Cloud differ from developer clouds like DigitalOcean and Hetzner, and how to tell which one your project actually needs.
A practical comparison of OVHcloud VPS plans, OpenStack-based Public Cloud and bare metal dedicated servers, with a checklist for matching each to your workload.
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