The rapid evolution of AI has led to infrastructure fragmentation, where training, inference, and agent workloads run in isolated systems, causing resource inefficiency. Volcano addresses this as a Unified Scheduling Platform for the full AI lifecycle, delivering robust scheduling capabilities with high throughput.

Volcano is evolving into the next-generation platform capable of orchestrating diverse workloads beyond batch jobs, enabling multi-scheduler coordination.

At the workload layer:
- Volcano-Global splits massive training jobs across clusters, removing single-cluster limits
- Kthena delivers enterprise-grade LLM serving with frameworks like vLLM
- AgentCube enables rapid agent workload scheduling

At the infra layer, Volcano provides modern resource abstraction through DRA integration, HyperNode discovery, GPU sharing, and heterogeneous pooling for efficient task-to-accelerator mapping.

Join us to explore how Volcano is shaping the future of Cloud Native AI infra.