The integration of IPv6 support allows big data frameworks to run at scale without IPv4 address exhaustion workarounds, such as secondary CIDR ranges. This enables concurrent execution of high-executor jobs, like 500-executor Spark workloads, without planning constraints related to IP address limits.
Supported submission models include StartJobRun, Spark Connect Interactive Endpoints, and Amazon SageMaker Unified Studio, with compatibility for Flink, Livy, and Spark Operators. The IPv6 feature is included from major EMR releases and is available at no extra cost in AWS Regions supporting both Amazon EMR on EKS and IPv6 EKS clusters.
Source & further reading
Amazon EMR on EKS now supports IPv6 Amazon EKS clusters ↗Source published 2026-09-23. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.