GPUs
AI Networking: What GPU Infrastructure Really Requires
Learn how AI workloads change network design across GPU clusters, storage, east-west traffic, RDMA/RoCE, Kubernetes placement, and production inference.
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Ce que la production nous apprend.
Des notes d’ingénierie issues de l’exploitation d’infrastructures ouvertes : pannes, décisions de conception et travail upstream qui améliorent l’infrastructure ouverte.
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GPUs
AI Infrastructure: VMs vs Bare Metal vs Kubernetes vs Managed Inference
Compare GPU VMs, bare metal, Kubernetes, and managed inference for AI workloads. Learn which architecture fits your performance, control, scaling, and operational needs.
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OpenStack
What Does Vendor Lock-In Actually Cost Your Business?
Learn the real cost of vendor lock-in and how open infrastructure can help businesses maintain flexibility, portability, and choice.
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