Kvick

Kvick, the company behind the open-source Spegel project (Spegel.dev), distributes the production-ready, hardened, and enhanced version of Spegel with additional capabilities. Spegel powers Kubernetes deployments of any size and is used by thousands of enterprises, including the largest AI, financial, streaming and technology companies. 10𝐱 𝐅𝐚𝐬𝐭𝐞𝐫 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 No more individual pulls from the registry for each deployment. P2P distribution of cached images across nodes accelerates deployments up to 20x. Benefits increase with increased usage of short-lived containers. 𝐂𝐨𝐥𝐝 𝐒𝐭𝐚𝐫𝐭𝐬 Spegel Enterprise, with its tracker, solves the DDOSing issue where each node tries downloading the same image from the source and effectively throttling the network. 𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐞𝐠𝐫𝐞𝐬𝐬 𝐚𝐧𝐝 𝐢𝐝𝐥𝐞 𝐭𝐢𝐦𝐞 𝐜𝐨𝐬𝐭𝐬 Up to 90% reduction in egress fees and idle time spent at pod initiation 𝐌𝐮𝐥𝐭𝐢-𝐜𝐥𝐮𝐬𝐭𝐞𝐫/𝐜𝐥𝐨𝐮𝐝 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 Enabling every cluster to be its own stateless registry removes the need for stateful regional registries and the overhead of managing them. 𝐀𝐈 & 𝐄𝐝𝐠𝐞 𝐀𝐈 𝐖𝐨𝐫𝐤𝐥𝐨𝐚𝐝𝐬 Images with AI models exceed tens of gigabytes in size. Increased sizes also make it harder to distribute at the edge. . 𝐇𝐢𝐠𝐡 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Spegel Enterprise users don’t get affected by registry reliability issues as every node becomes a distribution node