Bugfixes

• [Libfabric] Addressed several stability issues, including double-free errors in topology initialization, resource cleanup on disconnect, and handling of asymmetrical rail configurations in heterogeneous nodes (#839, #860, #926).
• [Libfabric] Improved resilience by manually progressing the completion queue when resources are unavailable and adding retry logic for failed operations (#856, #859).
• [Libfabric] Fixed EFA device discovery to correctly identify device IDs (#876).

Dependencies

• [GPUNetIO] Upgraded the GPUNetIO backend to the DOCA 3.1 Verbs library (#733).

Bindings

• The Python wheel no longer bundles libfabric, libefa, and libhwloc, as the libraries are available in many base images for AWS and this prevents version mismatch. (#937).
• Added a new Python example for remote storage operations (#841).

Benchmarks

• Added nixlbench support for the new GUSLI backend (#897, #929).
• Improved nixlbench flexibility by making etcd optional for storage backends and fixing logic for key collisions (#862, #878).
• Fixed an API parameter mismatch in the nixlbench POSIX benchmark (#880).

Build and Test Infrastructure

• Expanded CI coverage by enabling tests on DGX systems and adding GPU-specific tests for nixlbench (#834, #780).
• Resolved a package installation failure for libibverbs-dev on the CUDA 13 base container image (#889).
• Improved the build system to avoid building gtest when CUDA or UCX dependencies are not found (#925).
• Added a backend selection option for easier debugging of different transfer backends (#822).
• Refined release build packaging to correctly manage the inclusion of tests and examples (#872, #896).

Full Changelog: https://github.com/ai-dynamo/nixl/compare/0.6.1...0.7.0