Kaldi Release 21.08
The NVIDIA container image for Kaldi, release 21.08 is available on NGC.
Contents of the Kaldi container
This container image contains the complete source of the version of Kaldi in
The container also includes the following:
- Ubuntu 20.04 including Python 3.8
- NVIDIA CUDA 11.4.1
- cuBLAS 11.5.4
- NVIDIA cuDNN 188.8.131.52
- NVIDIA NCCL 2.10.3 (optimized for NVLink™)
- rdma-core 36.0
- OpenMPI 4.1.1+
- OpenUCX 1.11.0rc1
- GDRCopy 2.2
- NVIDIA HPC-X 2.9
- Nsight Systems 2021.2.4.12
- TensorRT 184.108.40.206
Release 21.08 is based on NVIDIA CUDA 11.4.1, which requires NVIDIA Driver release 470 or later. However, if you are running on Data Center GPUs (formerly Tesla), for example, T4, you may use NVIDIA driver release 418.40 (or later R418), 440.33 (or later R440), 450.51 (or later R450), or 460.27 (or later R460). The CUDA driver's compatibility package only supports particular drivers. For a complete list of supported drivers, see the CUDA Application Compatibility topic. For more information, see CUDA Compatibility and Upgrades and NVIDIA CUDA and Drivers Support.
Release 21.08 supports CUDA compute capability 6.0 and higher. This corresponds to GPUs in the Pascal, Volta, Turing, and Ampere Architecture GPU families. Specifically, for a list of GPUs that this compute capability corresponds to, see CUDA GPUs. For additional support details, see Deep Learning Frameworks Support Matrix.
Key Features and Enhancements
This Kaldi release includes the following key features and enhancements.
- Kaldi container image version 21.08 is based on Kaldi 851a0a79.
- Ubuntu 20.04 with July 2021 updates.
The Kaldi container comes with the following scripts:
/workspace/nvidia-examples/librispeech/prepare_data.shwhich downloads a trained model and data.
/workspace/nvidia-examples/librispeech/run_benchmark.shwhich runs inference on the trained model and data. Setting the environment variable ONLINE=1 will make the benchmark script run in online mode.
NVIDIA Kaldi Container VersionsThe following table shows what versions of Ubuntu, CUDA, Kaldi, and TensorRT are supported in each of the NVIDIA containers for Kaldi. For older container versions, refer to the Frameworks Support Matrix.