Kaldi Release 19.07

The NVIDIA container image for Kaldi, release 19.07, is available on NGC.

Contents of the Kaldi container

This container image contains the complete source of the version of Kaldi in /opt/kaldi. The container also includes the following:

• Ubuntu 18.04 including Python 3.5
• NVIDIA CUDA 10.1.168 including cuBLAS 10.2.0.168
• NVIDIA cuDNN 7.6.1
• NVIDIA NCCL 2.4.7 (optimized for NVLink™ )
• MLNX_OFED +3.4
• OpenMPI 3.1.3
• TensorRT 5.1.5

Driver Requirements

Release 19.07 is based on NVIDIA CUDA 10.1.168, which requires NVIDIA Driver release 418.67. However, if you are running on Tesla (Tesla V100, Tesla P4, Tesla P40, or Tesla P100), you may use NVIDIA driver release 384.111+ or 410. 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.

GPU Requirements

Release 19.07 supports CUDA compute capability 6.0 and higher. This corresponds to GPUs in the Pascal, Volta, and Turing 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 19.07 is based on Kaldi 5.5.
• Latest version of NVIDIA cuDNN 7.6.1
• Latest version of MLNX_OFED +3.4
• Latest version of Ubuntu 18.04
• Added option for GPU feature extraction.
• Performance improvements.

Packaged scripts

The Kaldi container comes with the following scripts:

• /workspace/nvidia-examples/librispeech/prepare.sh which downloads a trained model and data.
• /workspace/nvidia-examples/librispeech/run_benchmark.sh and /workspace/nvidia-examples/librispeech/run_multigpu_benchmark.sh which run inference on the trained model and data.

Known Issues

There are no known issues in this release.