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.
Read field noteSee how organizations are using private cloud to revolutionize customer engagement and run workloads reliably at scale.
Can OpenStack private cloud really be a matter of life and death? Multiple vertical markets, including retail, have found it so, using it to establish new sales strategies that have revolutionized how they interact with customers and consolidated processes to increase user engagement and sales. Organizations of all kinds are finding OpenStack private cloud the strong, adaptable, and secure IT infrastructure they need to run workloads reliably and quickly.
Now we'll take a look at one major retailer who stared down death with OpenStack, and how you can create a private OpenStack cloud as the most powerful platform in your arsenal for business success.
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Engineering notes from operating open infrastructure: the failures, design decisions, and upstream work that make open infrastructure better.
Browse all field notesLearn how AI workloads change network design across GPU clusters, storage, east-west traffic, RDMA/RoCE, Kubernetes placement, and production inference.
Read field noteCompare GPU VMs, bare metal, Kubernetes, and managed inference for AI workloads. Learn which architecture fits your performance, control, scaling, and operational needs.
Read field noteLearn the real cost of vendor lock-in and how open infrastructure can help businesses maintain flexibility, portability, and choice.
Read field note