This page provides release notes for each version of NCCL/gIB on ARM 64-bit
systems. Each release section describes the included binaries, supported
machine series, and new features and enhancements.
NCCL/gIB v1.1.2
Release date: May 14, 2026
Prebuilt binaries
The following sections list the prebuilt release and diagnostic binaries.
Release
Install these binaries for production workloads. For installation instructions,
see Run NCCL on Compute Engine instances.
Docker installer
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-arm64:v1.1.2 |
| SHA256 |
6b7950cac6e6833661d4206920f5633b6e361b18bfd5315b63f9bf4a4b84a80e |
| Base |
Alpine 3.21.0 |
| Built in |
Ubuntu 22.04 + CUDA 13.0 |
.deb package
| Repository |
https://packages.cloud.google.com/apt gpudirect-gib-apt |
| Packages |
nccl-gib (1.1.2), nccl-gib-plugins (1.1.2) |
| Base |
Debian 12 |
| Built in |
Ubuntu 22.04 + CUDA 13.0 |
.rpm package
| Repository |
https://packages.cloud.google.com/yum/repos/gpudirect-gib-rpm |
| Packages |
nccl-gib (1.1.2-1), nccl-gib-plugins (1.1.2-1) |
| Base |
Rocky Linux 9 |
| Built in |
Ubuntu 22.04 + CUDA 13.0 |
Diagnostic
Install these binaries to test or troubleshoot network performance.
Docker container
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-diagnostic-arm64:v1.1.2 |
| SHA256 |
44067b8118bf982fba30a1a61ab56d346aca30aedd1fe41d3880ab0a78cafbc8 |
| Base |
Ubuntu 22.04 + CUDA 13.0 |
Version compatibility
| Machine series |
Bundled NCCL version |
Supported NCCL versions |
Minimum GPU driver version |
Minimum CUDA runtime version |
| A4X |
2.30.4 |
>= 2.25 |
580.95.05 |
13.0 |
| A4X-Max |
2.30.4 |
>= 2.28.9 |
580.95.05 |
13.0 |
Component breakdown
| Component |
Version |
| rdma-core (not included in .deb and .rpm packages) |
2307mlnx47 |
| nccl |
2.30.4 |
| nccl-plugin-gib |
1.1.2 |
Version logging
To see the version logs, set the NCCL_DEBUG=INFO and NCCL_DEBUG_SUBSYS=INIT
environment variables.".
| Component |
Version Logging |
| nccl |
NCCL version 2.30.4+cuda13.0 |
| nccl-plugin-gib |
NET/gIB : Initializing gIB v1.1.2 |
Features and enhancements
Environment plugin
- Introduces the Google Cloud NCCL environment plugin that automatically applies
the best NCCL environment variables based on the runtime platform. The
environment plugin is automatically loaded when you use NCCL 2.28.7 or later.
CoMMA (profiler plugin)
gIB tuner plugin
- Automatically applies optimal tuning configs on any detected Google Cloud
platform.
nccl.conf
- gIB writes to /etc/nccl.conf when the file is write-accessible. As a result,
when you install the
nccl-gib or nccl-gib-plugins packages, you don't need
to change any environmental variable settings such as LD_LIBRARY_PATH.
New package
nccl-gib-plugins is a new package that only contains Google's NCCL plugins.
To use this package, you must install NCCL from NVIDIA repositories, and
install the APT package nccl-gib-plugins package from Google's repository.
The Docker installer, diagnostic container, and the nccl-gib package include
a pre-compiled NCCL and are still available.
Bug fixes
- Fixes a bug in the gIB net plugin when handling large
isend() requests
- Fixes an issue where the gIB net plugin might not be compatible with NCCL 2.27
or later versions
- Fixes stability issues in CoMMA
NCCL/gIB v1.1.0
Release date: Dec 19, 2025
Prebuilt binaries
The following sections list the prebuilt release and diagnostic binaries.
Release
Install these binaries for production workloads. For installation instructions,
see Run NCCL on Compute Engine instances.
Docker installer
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-arm64:v1.1.0 |
| SHA256 |
87197466ded5b2fb45887d37e104bb2550068b7ff7399bd3d35cbda8ee65a239 |
| Base |
Alpine 3.21.0 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.deb package
| Repository |
https://packages.cloud.google.com/apt gpudirect-gib-apt |
| Package |
nccl-gib (1.1.0) |
| Base |
Debian 12 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.rpm package
| Repository |
https://packages.cloud.google.com/yum/repos/gpudirect-gib-rpm |
| Package |
nccl-gib (1.1.0) |
| Base |
Rocky Linux 9 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
Diagnostic
Install these binaries to test or troubleshoot network performance.
Docker container
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-diagnostic-arm64:v1.1.0 |
| SHA256 |
sha256:99caf8e01b3ded3b98775a141a78f31ee2745935aa6630eb6e0444790ce31cd7 |
| Base |
Ubuntu 22.04 + CUDA 12.8 |
Version compatibility
| Machine series |
Bundled NCCL version |
Supported NCCL versions |
Minimum GPU driver version |
Minimum CUDA runtime version |
| A4X |
2.28.9-1 |
>= 2.28 |
570.124.06 |
12.8 |
Component breakdown
| Component |
Version |
| rdma-core (not included in .deb and .rpm packages) |
2307mlnx47 (MOFED 23.10-3.2.2.0 LTS release) |
| nccl |
2.28.9 |
| nccl-plugin-gib |
1.1.0 |
Version logging
To see the version logs, set the NCCL_DEBUG=INFO and NCCL_DEBUG_SUBSYS=INIT
environment variables.
| Component |
Version Logging |
| nccl |
NCCL version 2.28.9+cuda12.8 |
| nccl-plugin-gib |
NET/gIB : Initializing gIB v1.1.0 |
Features and enhancements
Overall
- NCCL Telemetry (CoMMA) is available for ARM 64-bit VMs
- Telemetry feature is enabled by default.
For more details, see CoMMA overview.
gIB net plugin
- Adds support for the v11 net plugin interface
Miscellaneous
Bug fixes
- Fixes an issue where NCCL might experience a segmentation fault when the gIB
net plugin is used and
NCCL_IB_MERGE_VFS is not explicitly set to 0
NCCL/gIB v1.0.7
Release date: Sep 15, 2025
Prebuilt binaries
The following sections list the prebuilt release and diagnostic binaries.
Release
Install these binaries for production workloads. For installation instructions,
see Run NCCL on Compute Engine instances.
Docker installer
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-arm64:v1.0.7 |
| SHA256 |
27cb36a8d63746c16229bbf348ca34d2e18f7bb91ff8863635a299f599e3dd02 |
| Base |
Alpine 3.21.0 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.deb package
| Repository |
https://packages.cloud.google.com/apt gpudirect-gib-apt |
| Package |
nccl-gib (1.0.7) |
| Base |
Debian 12 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.rpm package
| Repository |
https://packages.cloud.google.com/yum/repos/gpudirect-gib-rpm |
| Package |
nccl-gib (1.0.7) |
| Base |
Rocky Linux 9 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
Diagnostic
Install these binaries to test or troubleshoot network performance.
Docker container
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-diagnostic-arm64:v1.0.7 |
| SHA256 |
6a55af23d9671b7aa4ad5aed583b1875a935156117f6e659c1fde052837c0bff |
| Base |
Ubuntu 22.04 + CUDA 12.8 |
Version compatibility
| Machine series |
Bundled NCCL version |
Supported NCCL versions |
Minimum GPU driver version |
Minimum CUDA runtime version |
| A4X |
2.27.6 |
>= 2.25 |
570.124.06 |
12.8 |
Component breakdown
| Component |
Version |
| rdma-core (not included in .deb and .rpm packages) |
2307mlnx47 |
| nccl |
2.27.6 |
| nccl-plugin-gib |
1.0.7 |
Version logging
To see the version logs, set the NCCL_DEBUG=INFO and NCCL_DEBUG_SUBSYS=INIT
environment variables.
| Component |
Version Logging |
| nccl |
NCCL version 2.27.6+cuda12.8 |
| nccl-plugin-gib |
NET/gIB : Initializing gIB v1.0.7 |
Features and enhancements
gIB net plugin
- Uses fewer QPs when smaller chunk sizes are detected. This update should
substantially improve performance on more sophisticated P2P patterns.
Miscellaneous
- Upgrades NCCL to 2.27.6
- Stops recommending
NCCL_CROSS_NIC=0 which can cause NCCL to disable
GPUDirect RDMA in some circumstances on GB200
- Improves recommended performance tunings for more sophisticated P2P patterns
Bug fixes
gIB net plugin
- Fixes an issue where the gIB net plugin might cause hangs on more
sophisticated P2P patterns when running across multiple NVLink domains
- Fixes an issue where the gIB net plugin segfaults when
NCCL_IB_DISABLE is
set
Miscellaneous
- Fixes an issue where the meshed RC pingpong script only recognizes RDMA NIC
names following the mlx5_* convention
NCCL/gIB v1.0.6
Release date: Jul 2, 2025
Prebuilt binaries
The following sections list the prebuilt release and diagnostic
binaries.
Release
Install these binaries for production workloads. For installation instructions,
see Run NCCL on Compute Engine instances.
Docker installer
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-arm64:v1.0.6 |
| SHA256 |
4295c2f221a07d5c897db3f0cef113d7641e78b2a0bfba0803d030b6726e25c0 |
| Base |
Alpine 3.21.0 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.deb package
| Repository |
us-apt.pkg.dev/projects/gce-ai-infra/gpudirect-gib-apt |
| Package |
nccl-gib (1.0.6) |
| Base |
Debian 12 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
.rpm package
| Repository |
us-yum.pkg.dev/projects/gce-ai-infra/gpudirect-gib-rpm |
| Package |
nccl-gib (1.0.6) |
| Base |
Rocky Linux 9 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
Diagnostic
Install these binaries to test or troubleshoot network performance.
Docker container
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-diagnostic-arm64:v1.0.6 |
| SHA256 |
95062caa7cc72c857a2b0092970759bb775d35999ed5168ff2938062f68817c5 |
| Base |
Ubuntu 22.04 + CUDA 12.8 |
Version compatibility
| Machine series |
Bundled NCCL version |
Supported NCCL versions |
Minimum GPU driver version |
Minimum CUDA runtime version |
| A4X |
2.27.5 |
>= 2.25 |
570.124.06 |
12.8 |
Component breakdown
| Component |
Version |
| rdma-core (not included in .deb and .rpm packages) |
2307mlnx47 |
| nccl |
2.27.5 |
| nccl-plugin-gib |
1.0.6 |
Version logging
To see the version logs, set the NCCL_DEBUG=INFO and NCCL_DEBUG_SUBSYS=INIT
environment variables.
| Component |
Version Logging |
| nccl |
NCCL version 2.27.5+cuda12.8 |
| nccl-plugin-gib |
NET/gIB : Initializing gIB v1.0.6 |
Features and enhancements
Overall
- Adds NCCL/gIB .deb and .rpm packages on arm64
- Upgrades NCCL to 2.27.5
- Improves performance tunings
Miscellaneous
- Adds gIB net plugin tunings for Google RoCE network
- Enables NVLink-SHARP in recommended settings
NCCL/gIB v1.0.4
Release date: Feb 24, 2025
Prebuilt binaries
The following sections list the prebuilt release and diagnostic
binaries.
Release
Install these binaries for production workloads. For installation instructions,
see Run NCCL on Compute Engine instances.
Docker installer
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-arm64:v1.0.4 |
| SHA256 |
95b0f4c982a1824f488681179cea24249e95def7a82b918fd587836fd158a124 |
| Base |
Alpine 3.21.0 |
| Built in |
Ubuntu 22.04 + CUDA 12.8 |
Diagnostic
Install these binaries to test or troubleshoot network performance.
Docker container
| Image |
us-docker.pkg.dev/gce-ai-infra/gpudirect-gib/nccl-plugin-gib-diagnostic-arm64:v1.0.4 |
| SHA256 |
3753ef5b6d7422ec0dd83e8ea83f4ebf16540c373067708a269ddae0aa97d509 |
| Base |
Ubuntu 22.04 + CUDA 12.8 |
Component breakdown
| Component |
Version |
| rdma-core (not included in .deb and .rpm packages) |
2307mlnx47 |
| nccl |
2.25.1 |
| nccl-plugin-gib |
1.0.4 |
Version logging
To see the version logs, set the NCCL_DEBUG=INFO and NCCL_DEBUG_SUBSYS=INIT
environment variables.
| Component |
Version Logging |
| nccl |
NCCL version 2.25.1+cuda12.8 |
| nccl-plugin-gib |
NET/gIB : Initializing gIB v1.0.4 |
Features and enhancements
- Rebases to NCCL core 2.25 to support A4 (B200) and A4X (GB200)
- Adds arm64 builds
