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.
Lire la noteNotes de terrain / Dernières nouvelles
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.
Parcourir toutes les notes
GPUs
The Overall Picture: Building Production-Oriented GPU Infrastructure With Atmosphere
Booting a GPU server isn't the same as making it production-ready. How Atmosphere unifies OpenStack, Ironic, and Kubernetes to turn H200 hardware into recoverable, reusable AI infrastructure.
Lire la note
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.
Lire la note
