Device API (Experimental)
* Introduces device-side APIs to integrate NCCL communication directly into application kernels.
* Supports LSA (Load/Store Access) for CUDA P2P communication over NVLink and some PCIe platforms.
* Supports Multimem for hardware multicast using NVLink SHARP.
* Adds initial framework for GIN (GPU-Initiated Networking), currently under development.
* Introduces device communicators created using ncclDevCommCreate.
* Enables device-side communication operations with synchronization (ncclLsaBarrierSession) and memory accessors (ncclGetLsaPointer, ncclGetLsaMultimemPointer).
* Experimental APIs - signatures and functionality may evolve in future releases.
* No ABI compatibility is guaranteed — applications must be recompiled with each new NCCL release.
Symmetric memory improvements
* Support for aggregating symmetric operations using ncclGroupStart/End APIs.
* Reimplement symmetric kernels using device API.
New Host APIs
* Introduce new host collective APIs: ncclAlltoAll, ncclScatter, ncclGather.
CE (Copy Engine) Collectives
* Reduce SM utilization for alltoall, scatter, gather, and allgather within a single (MN)NVL domain.
* Free up SM capacity for the application to do computation at the same time.
* To enable the feature for ncclAllGather, ncclAlltoAll, ncclGather, ncclScatter, register buffers into symmetric windows and use the NCCL_CTA_POLICY_ZERO flag in the communicator config_t.
NCCL Inspector Plugin
* Introduces an Inspector plugin for always-on performance monitoring.
* Produces structured JSON output with metadata, execution time, bandwidth, and optional event traces for each NCCL operation.
* Enables integration with analysis tools such as Performance Exporter to visualize NCCL performance bottlenecks.
* Lightweight to enable via environment variables NCCL_PROFILER_PLUGIN and NCCL_INSPECTOR_ENABLE.
CMake support (Experiemental)
* Adds a CMake build system as an alternative to existing Makefiles.
* Known issues: pkg.build and Device API currently do not work with CMake.
* The known issues will be addressed in a future release.
Decreased max CTA count from 32 to 16 on Blackwell
* SM overhead is decreased by 50% with this improvement.
* This may cause some perf drop on Blackwell because of the reduced SM usage.
* If the extra SM capacity is not desired, two options are available to restore to previous behavior: 1) Setting NCCL_MIN_CTAS=32 NCCL_MAX_CTAS=32 environment variables; 2) setting communicator config to over-write max CTA count to 32.
* Based on community feedback, future versions may consider different trade-offs between performance and SM overhead.
Plugins
* Network
* App-aware Network plugin. NCCL passes information about communication operations to be executed on the network end point. This allows for better tuning of network end points and their use in the plugins.
* Improve handling of physical and virtual network devices and load/unload.
* Network plugin version 11 - add explicit context and communication ID support for per communicator init/finalize.
* Add Multi-Request Net API. Using this will help NCCL to anticipate multiple send/recv requests and optimize for it. See maxMultiRequestSize field in ncclNetProperties_v11_t.
* Profiler
* Add support for API events (group, collective, and p2p) and for tracking kernel launches in the profiler plugin.
* Add Inspector Profiler Plugin (see section above).
* Add a hook to Google’s CoMMA profiler on github.
* Tuner
* Expose NCCL tuning constants at tuner initialization via ncclTunerConstants_v5_t.
* Add NVL Domain Information API.
* Support multiple plugin types from a single shared object.
New Parameterization and ncclConfig changes:
* Add new option NCCL_MNNVL_CLIQUE_ID=-2 which will use rack serial number to partition the MNNVL clique. This will limit NVLink domains to GPUs within a single rack.
* Add NCCL_NETDEVS_POLICY to control how NET devices are assigned to GPUs. The default (AUTO) is the policy used in previous versions.
* Add NCCL_SINGLE_PROC_MEM_REG_ENABLE control variable to enable NVLS UB registration in the “one process, multiple ranks” case as opt in.
* Move nChannelsPerNetPeer into ncclConfig. NCCL_NCHANNELS_PER_NET_PEER can override the value in ncclConfig.
* Enable PxN over C2C by default
* PxN over C2C will improve performance for Grace-Blackwell platforms by allowing NCCL to leverage the NIC attached to a peer GPU over NVLINK, C2C, and PCIe.
* This behavior can be overridden by setting NCCL_PXN_C2C=0.
Other Improvements:
* Allow FP8 support for non-reductive operations on pre sm90 devices. (See https://github.com/pytorch/pytorch/pull/151594#discussion_r2135777776)
* Fix NVLS+CollNet and temporarily disables COLLNET_CHAIN for >8 GPUs.
* Only consider running interfaces for socket traffic. NCCL will not attempt to use interfaces that do not have the IFF_RUNNING bit. (https://github.com/NVIDIA/nccl/issues/1798)
* Modernize mutex management. Convert to std::mutex and std::lock_guard.
* Remove sm35 and sm50 GENCODE targets which have long been deprecated and were causing issues with the latest NCCL release builds.
* Improved NVLS/NVLSTree tuning prediction to improve algorithm and protocol selection.
* NVLSTree Tuning Fixes. Update tuning data for H100, GB200-NV72.
* Respond better to RoCE link flaps. Instead of reporting an “unknown event” it will now report “GID table changed”.
* Move libvirt bridge interface to the end of possible interfaces so that they are considered last. These interfaces are usually virtual bridges to relay traffic to containers running on the host and cannot be used for traffic to a remote node and are therefore unsuitable.
Improvements for GB200 systems
* Optimize the network performance by alternating the direction of the
rings and the NIC to GPU assignment across communicators to limit
unnecessary sharing.
* Fix the detection of C2C links in case GPU Direct RDMA is disabled
between a GPU and a NIC.
* Fix PXN support on MNNVL systems, where NCCL would try (and fail) to
share regular host memory across multiple nodes.
* Fix P2C (PXN over C2C), which is now preferred over regular PXN. This
support is currently preliminary and is disabled by default; use
NCCL_PXN_C2C=1 to enable.
Further reduce the overheads of CUDA graph capturing, which increased in
NCCL 2.26.2 for large graphs.
Optimize the network performance on DGX B200 systems by adjusting the
bandwidths provided to the graph search algorithm.
Enable fp8 reductions in symmetric kernels on Blackwell with CUDA 12.8.
Restore the plugin name handling logic to make it possible to specify a
path to the plugin (Issue #1732).
Restore the ability to change NCCL_COLLNET_ENABLE during execution
(Issue #1741).
Add an example tuner plugin with CSV-based overrides.
Remove an x86 dependency from the example profiler.
Add scalable init API
* Add new ncclCommInitRankScalable to allow for passing multiple
unique IDs to the init function.
* Spreads the load onto multiple bootstrap roots, allowing for
constant bootstrap time.
* Requires multiple ranks to create a unique ID, and the CPU-side
ID exchange code to call allgather[v] instead of broadcast.
Accelerate init bootstrap operations
* Reduce the number of calls to allgather.
* Allow roots to reply early to ranks when information is already
available.
* Add an option to use ncclNet instead of sockets to perform
bootstrap allgather operations.
Add PAT algorithms for Allgather and ReduceScatter
* Parallel Aggregated Trees, variation of Bruck algorithm.
* Logarithmic number of network steps for small sizes at scale.
* Only supports one rank per node at the moment.
Add support for registered buffers for intra-node communication.
* Allow registered user buffers to be accessed directly intra-node
* Avoids extra copies in algorithms which permit it, saving
memory bandwidth and helping with compute overlap.
Add profiler plugin API
* New plugin API for profiling
* Supports various levels of profiling, with a hierarchy.
Asynchronous graph allocation
* Make calls to cudaMalloc and cudaMemcpy during graph allocation
asynchronous.
* Significantly speeds up graph capture.
Use fatal IB asynchronous events to stop network operation
* Avoids many other error messages
* Only fatal errors are affected; potentially transient errors
(e.g. port down) do not cause an immediate stop.
Set P2P level to PXB on AMD CPUs when using more than 2 GPUs per node
* P2P would cause a significant performance degradation when using
many GPUs, and therefore many interleaved data flows.
* Disable P2P through the CPU when we have 3+ GPUs per node; keep it
enabled when we only have 2 GPUs.
Improve the init logs to report the real NCCL function.
* Make the log report ncclCommInitRank or ncclCommSplit, rather than
the generic ncclCommInitRankFunc.
Add a parameter to set the location of the user configuration file.
* Add NCCL_CONF_FILE environment variable to set where the user's
configuration file resides.
Increase default IB timeout
* Increase IB timeout value from 18 to 20.
* Should help avoid fatal errors on large RoCE systems.
Add new check for nvidia peermem
* On linux kernels 6.6+, /sys/kernel/mm/memory_peers is no longer
present; check for /sys/module/nvidia_peermem/version instead.
Fix old performance regression when mixing small and large operations.
* Improves distribution of work on channels.
Fix crash when NUMA IDs are equal to -1.
* Can happen when a NIC is a virtual NIC, or when linux doesn't
know which NUMA node a device is attached to
* Issue NVIDIA/nccl-tests#233
Fix tree graph search when NCCL_CROSS_NIC is set to 1.
* Would force NCCL to use the balanced_tree pattern, thereby
disabling LL128 on platforms with 1 GPU+1 NIC per PCI switch.
* Would also try to use alternate rings even though it was not
needed.
Compiler tweaks and fixes
* PR #1177
* PR #1228
Fix stack smash
* PR #1325
Fixes for multi-node NVLink + IB operation
Coverity fixes and comments.
Marzieh Berenjkoub
Rahul Vaidya
Mark Santesson
Kamil Iskra
Giuseppe Congiu
Sylvain Jeaugey