Petabyte-Scale AI Memory with Serverless Java | Markus Kett (EN)

With IoT, Big-Data and AI, the global amount of data is growing exponentially. More and more enterprises are approaching the petabyte limit. However, conventional databases can no longer handle this enormous amount of data and break beyond 100 Terabyte. As a consequence, companies build complex workarounds, while infrastructure costs and license fees explode dramatically. That’s why Petabyte-scale systems are technically possible today, but economically infeasible for most companies. The Dell AI stack now comes with a solution: Cyrock.AI - an AI memory fabric built on serverless Java. The pure Java stack unifies all important data structures, data types and search capabilities like vector search, full-text search, graph traversing and even SQL, with a Java-native, true serverless data storage layer. It enables accessing Petabyte-scale AI memory in real-time, while significantly reducing the infrastructure costs and license fees. Cyrock.AI is for all companies that want to process large volumes of AI data highly efficiently with Java and highly cost-efficient. The whole platform is written in Java, based on 3 Eclipse open-source projects, integrates seamlessly with the Java program model and ecosystem, and is a clear example that Java is predestined to dominate the AI backend. ➜ Subscribe to JAVAPRO and never miss an update: https://bit.ly/YouTube-JAVAPRO-subscribe ▬ About us: ▬ JAVAPRO is the magazine for professional, real-world Java development. Beyond the publication, JAVAPRO organises the annual developer conference JCON, which focuses on Core Java, Enterprise Java, Microservices, AI, APIs, and frameworks. On this channel, you'll find interviews, sessions, tips & tricks, and everything a Java developer could ask for. ➜ Read JAVAPRO online or download the PDF: https://javapro.io ➜ Join the next live training session: https://javapro.io/training/ ▬ Follow us on social media: ▬ Twitter: https://x.com/JAVAPROmagazin LinkedIn: / 75505519 ➜ Thanks for watching – subscribe for more Java!