[air](deps): Bump nixl from 0.4.0 to 0.7.0 in /python/requirements/ml

[dependabot]

Bumps nixl from 0.4.0 to 0.7.0.

Release notes

Sourced from nixl's releases.

0.7.0

Summary

NVIDIA® NIXL Release 0.7.0 introduces the new GUSLI storage plugin, adds build support for the CUDA 13.0 toolkit, and delivers key improvements to the Libfabric, UCX and GPUNetIO backends.

• GUSLI Storage Plugin: Introduces a new storage backend based on NVIDIA GUSLI for high-performance access to flash storage.
• CUDA 13 Build Support: Enables NIXL and the nixlbench suite to be built from source with CUDA 13.0, ensuring compatibility with the latest drivers and libraries. Official binary packages with CUDA 13.0 support are planned for a future release.

New Features

• Introduced the GUSLI storage plugin for high-throughput, low-latency I/O (#887).

Improvements

• [Build] Added support for building NIXL and nixlbench from source with CUDA 13 (#820).
• [Libfabric] Added support for non-GDR instances on AWS and resolved python wheel compatibility issues (#901, #937).
• [Device API] Improved support for GPU-initiated UCX transfers in MoE workloads with easier to use APIs and lower latency (#815).

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: ai-dynamo/nixl@0.6.1...0.7.0

0.6.1

Summary

NVIDIA® NIXL Release 0.6.1 introduces a new Libfabric plugin for high-performance networking on AWS, expands language binding support and improves stability.

• Libfabric Networking for AWS: Introduces a new Libfabric plugin to leverage AWS Elastic Fabric Adapter (EFA) for high-performance, low-latency communication.
• Language Bindings:

... (truncated)

Commits

• 3deee09 update cpp attributions (#948)
• 9367223 Remove Libfabric dependencies from wheel (#935) (#937)
• 658f17b Revert "Pin UCX version to b14d7f1ef69f7933d542fad67cabe7ecde0d39f0 (#927)" (...
• aa05354 Pin UCX version to b14d7f1ef69f7933d542fad67cabe7ecde0d39f0 (#927) (#931)
• 408e92d libfabric: fix asymmetrical rails for heterogeneous node types. (#908) (#926)
• 9143256 test: Dont build gtest if cuda or ucx is not found (#921) (#925)
• c6cf7ff nixlbench: Fix gusli parameters (#910) (#929)
• c609571 updated headers (#903) (#918)
• 1b8852f nixlbench: Provide remote iovs for other storage backends (#913) (#916)
• f774e4d chore: Update release version for NIXL (#906)
• Additional commits viewable in compare view

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