NVIDIA GPUDirect Storage Release Notes
Release information for NVIDIA® Magnum IO GPUDirect® Storage.
NVIDIA® Magnum IO GPUDirect® Storage (GDS) is one of the members of the GPUDirect family of technologies. GDS enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage. This direct path increases IO bandwidth, decreases IO latency and reduces the utilization load on the host CPU.
GDS is generally available on third party storage solutions such as DDN EXAScaler®, Dell EMC Isilon, IBM Spectrum Scale, NetApp ONTAP and BeeGFS, WekaFS™, VAST NFS, Dell Isilon, and Micron. See the Support Matrix for the complete list. GDS documents and online resources provide additional context for the optimal use of and understanding of GPUDirect Storage. Refer to the following guides for more information about GDS:
- GPUDirect Storage Design Guide
- GPUDirect Storage Overview Guide
- cuFile API Reference Guide
- GPUDirect Storage Best Practices Guide
- GPUDirect Storage Installation and Troubleshooting Guide
- GPUDirect Storage Benchmarking and Configuration Guide Guide
- GPUDirect Storage O_DIRECT Requirements Guide
To learn more about GDS, refer to the following posts:
- GPUDirect Storage: A Direct Path Between Storage and GPU Memory
- The Magnum IO blog series.
- Added support for RHEL 9.2 on Grace Hopper platform with 64K host OS page size for EXT4 filesystems with Local NVMe.
- Improved the IO throughput performance for applications by adding topology awareness in compatibility mode.
Features introduced in previous releases: v1.8
- Assorted bug fixes.
- Added Grace Hopper platform Support with 64K host OS page size for EXT4 filesystems with Local NVMe on Ubuntu 22.04 with HWE kernels.
- Proprietary NVIDIA kernel module is not supported. Only the NVIDIA open kernel module will be supported.
- cuFile APIs can be used in Cloud-service-providers environments in compatibility mode.
- Support for APIs
cuFileWriteAsyncis complete. This enables use of CUDA Streams with cuFile APIs.
- cuFile APIs can be used with system memory.
- cuFile APIs can now be used with non-O_DIRECT file descriptors.
- Threadpool support is enabled by default and is required for cuFile APIs supporting CUDA streams.
- Improved batch API performance.
- Implemented threadpool in the cuFile library to enable parallelism and improve throughput of a large IO request using a single user thread.
- Assorted bug fixes.
- Added support for
cuMem*memory allocations with cuFile APIs.
- Hopper PCIe support
- RHEL 9.0 and Ubuntu 22.04 support
- GDS can be now installed through CUDA
- Support for Ubuntu 22.04 and RHEL9.
- Improvements to NIC to GPU affinity for userspace RDMA file systems.
- Initial support for Linux dma-buf.
- GDS now supports vGPU in VMware context. See https://docs.nvidia.com/grid/latest/grid-vgpu-release-notes-generic-linux-kvm/index.html#gpudirect-technology-support and https://docs.nvidia.com/grid/latest/grid-vgpu-user-guide/index.html#cuda-open-cl-support-vgpu for more information.
- Support for BeeGFS.
- Support for XFS.
- Batch APIs available for use (Alpha level support).
nvidia_peermemdefault for userspace RDMA filesystems (GPFS, Weka). In order to use
nvidia_peermem, load it using:
# modprobe nvidia_peermem
- Added support for BeeGFS (preview).
- The XFS file system has been added to the list of supported file systems at a a beta support level.
- Improved support for unregistered buffers.
- Added options
io_sizeto gdsio config file per job options.
- Improved performance of 4K and 8K IO sizes for local file systems.
- Added user-configurable priority for internal cuFile CUDA streams.
- New configuration and environment variables for the cuFile library.
- Fixed error handling behavior for Weka retriable and unsupported errors.
- Removed hard dependency on
- Added read support for IBM Spectrum Scale.
Compatibility with POSIX IO is enabled by default.
Alpha level support for RHEL 8.3.
- GDS is available as Technical preview for DGX OS.
Support for MLNX_OFED 5.3 for NVMe and NVMeOF.
Support for Excelero™ NVMesh devices.
Support for ScaleFlux computational storage.
Integration with DALI and PyTorch.
- Experimental RAPIDS integration for cuDF, unoptimized, reads only.
MLNX_OFED must be installed before installing GDS. Refer to Installing GPUDirect Storage for more information about installing MLNX_OFED.
nvidia-fs.korequires Linux kernels 4.15.x and above.
Ubuntu 22.04.3 is not supported with any publicly available MLNX_OFED versions at this time.
|MLNX_OFED version||Distros supported||Notes|
|5.4-x (LTS)||Ubuntu 18.04, 20.04,22.04, RHEL 8.x (>8.4), RHEL 9||Long-term support version|
|5.5-x||Ubuntu 18.04, 20.04, RHEL 8.4, RHEL 8.6|
|5.6-x||Ubuntu 18.04, 20.04, RHEL 8.4, RHEL 8.6|
|5.7-x||Ubuntu 18.04, 20.04, RHEL 8.4, RHEL 8.6||Does not support RHEL9 and UB22.04|
|5.8-x (LTS)||Ubuntu 18.04, 20.04,22.04, RHEL 8.x (>8.4), RHEL 9, Rocky Linux 9.x, RockyLinux 8.x|
|5.9-x||UB22.04 and RHEL 9.1, 8.7||NVMeOF is not functional.|
|23.04-x||UB22.04 and RHEL 9.2, 8.8||NVMeOF is not functional.|
|23.07-x||UB22.04 and RHEL 9.2, 8.8||NVMeOF is not functional|
|23.10||UB22.04 and RHEL 9.2|
Supported GPUs: Data Center and Quadro (desktop) cards with compute capability > 6 listed here - https://developer.nvidia.com/cuda-gpus#compute are supported in GDS mode. All other cards are supported only in compatibility mode.Partner/Distributed File Systems
|Partner Comany||Partner Product Version||Compatible GDS Version||Date|
|HPE Ezmeral||5.5||1.3.1 and higher||Feb 2023|
|HPE Cray ClusterStor||Neo 4.2 and newer||1.0 and higher||Sep 2021|
|NetApp||ONTAP 9.10.1||1.0 and higher||Jan 2022|
System Fabrics Works
|7.3.0||1.1.1 and higher||March 2022|
|IBM||Spectrum Scale 5.1.2 and newer||1.1 and higher||Nov 2021|
EXAScaler 5.2 and newer
EXAScaler 6.0 and newer
|1.1 and higher||Nov 2021|
|VAST||Universal Storage 4.1||1.1 and higher||Nov 2021|
|WekaIO||WekaFS 3.13||1.0||June 2021|
|DellEMC||PowerScale 18.104.22.168||1.0||Oct 2021|
|Hitachi Vantara||HCSF||1.0||Oct 2021|
Distributed file systems are not supported on Grace CPU (NVIDIA's Arm-based CPU) based platforms.
GDS has been enabled in the following libraries and frameworks:
- RAPIDS cuDF: More details
- CLARA cuCIM: More details
- DALI: Python frameworks such as PyTorch are enabled to use DALI, which is intern enabled with GDS: More details
- MONAI: Python Framework for Medical Imaging and Deep learning: More details
- Clara Parabricks: More details
Each component has a README file. For example, for
gds-tools, the README file is in the
- GDS is not yet supported on Grace CPU based platforms with network file systems.
- Nvidia-fs can deadlock in
nv_p2p_mem_info_free_callbackfunctions when the user frees the CUDA memory without calling
cuFileBufDeregisteron registered buffers.
- For Grace CPU based platform (sbsa), GDS p2p mode IO can fail for registered buffers greater than or equal to 4GB in size.
On DDN EXAScaler filesystem:
- With stripe count > 1,
cuFileWritedo not work with poll mode enabled for versions older than 2.12.5_ddn10.
- With 2.12.5_ddn10, any reads beyond EOF causes a BUG_ON inside
- With stripe count > 1,
- On DGX OS:
- For log collection, use
gds_log_collection.pydescribed in Sending Relevant Data to Customer Support.
- For log collection, use
cuFileWriteAPIs fail when working on
cuMemMapallocations with multiple GPUS, when the IO request to a GPU buffer is not 4K aligned and spans across multiple GPUs.
- On Grace+Hopper systems:
- 4K kernel PAGE SIZE is not supported.
- All OS (BaseOS/RHEL/SLES ) for Grace-Hopper need persistence enabled.
- CUDA streams based APIs:
- CUDA graphs are not supported with cuFile Stream APIs.
- cuFile Stream APIs for GPFS and WekaFs are supported in compat mode only.
- cuFile Stream APIs are not supported when cuFile configuration parameter
execution.parallel_iois false or
execution.max_io_threadsis set to 0.
CU_FILE_STREAMS_SUPPORTEDbit is not set in
Props.fflagswhen queried with
- Available BAR1 memory reported by the
nvidia-smiutility is not accurate due to some internal overhead of the CUDA toolkit. Therefore, a huge allocation of BAR1 memory by any GDS application can run into ENOMEM errors, even when nvidia-smi utility shows there is available BAR1 memory.
- Batch APIs and poll mode will not work with device files:
- XFS on RAID is not supported
- GPUDirect storage in P2P mode does not support NVMe end to end data protection features. To support GDS in p2p mode, the NVMe must be formatted with Protection Information where
Metadata Sizeis set to zero bytes.
- CentOS 7.x is no longer supported.
- Checksums on the client-side of file systems must be disabled for GDS.
- cuFile APIs are not supported with applications using the
- GDS Compatibility mode is only tested on GDS qualified file systems: ext4, EXAScaler, XFS, WekaFS, IBM Spectrum Scale, VAST, and BeeGFS.
- On x86-64 platforms, GDS with “IOMMU=on” or ACS enabled are not guaranteed to work functionally or in a performant way.
- Refer to the following documentation for IBM Spectrum Scale Limitations with GDS: https://www.ibm.com/docs/en/spectrum-scale/5.1.5?topic=architecture-gpudirect-storage-support-spectrum-scale
- Upgrading of Linux Kernel version and
WekaFS (TM) does not support newer MOFED versions 5.3.x and above with GDS. nvidia-peer-memory-dkms=1.1-0-nvidia2 is required for GDS support with WekaFS. Please follow the instructions in section 2.2 of GDS Troubleshooting and installation guide.
- RHEL 8.3 or later does not have default udev rules for detecting RAID members, which disables GDS on RAID volumes. Refer to the section “Adding udev Rules for RAID Volumes” in GDS Installation and Troubleshooting Guide.
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