Research Intern @ National Institute of Technology Puducherry | Machine Learning, Casting
Most AI applications die from unpredictable workloads. Traditional databases can't handle the spikes. MariaDB Cloud's serverless approach scales with your AI agents automatically. MariaDB just launched Enterprise Platform 2026. It's a game-changer for AI development. The platform unifies everything: • Transactional data • Analytics • AI workloads All in one database. No more complex pipelines. The standout feature? RAG-in-a-Box. It handles embedding, storing, and retrieving vector data automatically. You don't need separate vector databases anymore. Performance is impressive too. The new MariaDB Exa engine processes multi-terabyte workloads 1,000x faster than traditional OLTP engines. But here's what excites me most. The serverless model adjusts resources when AI agents process tasks. It handles those unpredictable activity spikes that break traditional setups. This addresses a real pain point. AI workloads are inherently unpredictable. MariaDB also added AI copilots for developers. They convert natural language queries into database actions. That's a huge productivity boost. The numbers speak for themselves. Enterprise Server 11.8 shows 250% better performance compared to version 10.6. This feels like the future of database development. One platform for everything. What's your biggest challenge with AI application workloads? Are you dealing with scaling issues? #AI #Database #MariaDB 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gt8-FFdE