𝗚𝗰𝗼𝗿𝗲 𝗘𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗲𝘃𝗼𝗹𝘃𝗲𝘀 𝗶𝗻𝘁𝗼 𝗮 𝗳𝘂𝗹𝗹-𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 At KubeCon last year, Everywhere AI was introduced as a 3-click inference layer. Today, at #KubeCon + #CloudNativeCon Europe 2026, we're showing how it has evolved into a full-workload platform for the entire AI lifecycle. Our 3-click deployment is available across on-prem, cloud, and hybrid environments. What's behind the latest phase of this evolution: • 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗻𝗼𝘁𝗲𝗯𝗼𝗼𝗸 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Develop and prototype directly in the same environment where models are trained and deployed, removing friction between teams • 𝗠𝗮𝗻𝗮𝗴𝗲𝗱 𝗦𝗹𝘂𝗿𝗺: Access HPC-grade orchestration with simplicity for distributed training, reducing infrastructure management complexity • 𝗧𝗼𝗸𝗲𝗻-𝗯𝗮𝘀𝗲𝗱 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 + 𝗡𝗩𝗜𝗗𝗜𝗔 𝗗𝘆𝗻𝗮𝗺𝗼: Get more efficient scaling with up to 6× higher throughput and 2× lower latency, while optimizing GPU usage and cost. The result: one Kubernetes-native platform to deploy AI everywhere, with simplicity. Learn more: https://lnkd.in/dwss2VB2.
