How #CyrockAI #microservices architecture works: Cyrock.AI can map ANY complex, freely designed #Java object graph to #Kubernetes. When accessing an object, a corresponding Cell in Kubernetes is invoken to fetch the object references from cache or disk.

Large enterprise apps moved from monolithic to #microservices architcture. The whole IT is pushing microservices for a decade. Companies invest millions for migrating. Now, #CyrockAI is applying the microservice concept to #databases. aws.amazon.com/compare/the-d… @awscloud

Cyrock.AI is the first #VectorDatabase based on #microservices. CPU resources are allocated only to data in use, shutting down 80% of idle regions. Cyrock.AI saves up to 80% compute, energy, CO2, and cloud costs on any #GenAI project. #SustainableAI

AI consumes 4.5 GW today, 18.7 GW by 2028. At least 10% goes on Vector Databases, 1.87 GW. Up to 80% is wasted, because all today's server databases are monoliths that guzzle energy running massive servers 24/7 whether data is accessed or not.