At Flink Forward Asia 2026, experts argued that real‑time computing is undergoing a fundamental identity shift: Flink is evolving from a batch‑stream engine into the core infrastructure for AI agents, driven by data gravity, agentic streaming, GPU acceleration, and a unified data lake.
The Flink Forward Asia 2026 conference in Shenzhen showcased Apache Flink's evolution to Agentic Streaming for AI, introduced the multimodal Agentic Lake built on Apache Paimon 2.0, announced Fluss 1.0 as a real‑time context layer, and highlighted performance gains over competing stacks such as Ray and Daft.
The Flink Forward Asia 2026 conference in Shenzhen gathered leading experts to discuss the evolution of Apache Flink toward agentic streaming, multimodal data processing, and AI‑native real‑time platforms, highlighting insights from Alibaba Cloud, NVIDIA, and independent researchers on the future of AI‑driven data pipelines.
The Flink Forward Asia 2026 conference in Shenzhen announced the evolution of Apache Flink toward Agentic Streaming for AI, unveiled multimodal data lake projects like Apache Paimon 2.0 and Fluss, highlighted performance gains over competing stacks, and showcased collaborations with NVIDIA to accelerate real‑time AI workloads.
