Bodo 2026.4 Release (Date: 04/09/2026)

🎉 Highlights

This release, we are excited to introduce Bodo’s [CPU–GPU hybrid execution model][df_gpu] available via conda (currently only supports Linux/Python 3.14):

conda install -c bodo.ai -c rapidsai -c nvidia "bodo=*=*cuda" --no-channel-priority

With the CUDA-enabled variant of the Bodo package, supported DataFrames operations will automatically run on all available GPUs, while unsupported operations seamlessly fall back to CPU.

The CUDA-enabled Bodo package uses CUDA-aware OpenMPI for GPU communication. Before running CPU–GPU hybrid code, you must first set OpenMPI’s communication layer to UCX:

export OMPI_MCA_pml=ucx

✨ CPU–GPU hybrid execution

The following types of operations will run on GPUs:

• Parquet read (local filesystem, S3, Google Cloud Storage, HDFS, Azure Data Lake)

• Parquet write (local filesystem, S3, Google Cloud Storage, HDFS, Azure Data Lake)

• Most kinds of joins

• Vectorized filters and projections (except UDFs)

• Column arithmetic and boolean ops (except UDFs)

• GroupBy aggregations: sum, count, mean, min, max, var, std, size, skew, nunique

• Series reductions: sum, product, count, mean, min, max

• drop_duplicates, concat, Series.isin

🏎️ Performance Improvements

• Improved join ordering.

🛠️ Infrastructure

• Added Docker ARM build.

⚙️ Dependency Changes

• Upgraded DuckDB planner.

Full Changelog: 2026.2...2026.4