Kaldi Release 22.03

The NVIDIA container image for Kaldi, release 22.03 is available on NGC.

Contents of the Kaldi container

This container image contains the complete source of the version of Kaldi in the /opt/kaldi directory.

The container also includes the following:

Driver Requirements

Release 22.03 is based on CUDA 11.6.1, which requires NVIDIA Driver release 510 or later. However, if you are running on a Data Center GPU (for example, T4 or any other Tesla board), use NVIDIA driver release 418.40 (or later R418), 440.33 (or later R440), 450.51 (or later R450), 460.27 (or later R460), or 470.57 (or later R470). The CUDA driver's compatibility package only supports specific drivers. For a complete list of supported drivers, see CUDA Application Compatibility. For more information, see CUDA Compatibility and Upgrades and NVIDIA CUDA and Drivers Support.

GPU Requirements

Release 22.03 supports CUDA compute capability 6.0 and later. This corresponds to GPUs in the NVIDIA Pascal, NVIDIA Volta™, NVIDIA Turing™, and NVIDIA 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 22.03 is based on Kaldi 26b9f648.
  • Ubuntu 20.04 with February 2022 updates.

Packaged scripts

The Kaldi container comes with the following scripts:
  • /workspace/nvidia-examples/librispeech/prepare_data.sh, which downloads a trained model and data.
  • /workspace/nvidia-examples/librispeech/run_benchmark.sh, which runs inference on the trained model and data.

    Setting the ONLINE=1 environment variable makes the benchmark script run in online mode.

NVIDIA Kaldi Container Versions

The 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.

Container Version Ubuntu CUDA Toolkit Kaldi TensorRT
22.03 20.04 NVIDIA CUDA 11.6.1 5.5 up to commit 26b9f648 TensorRT 8.2.3
22.02 NVIDIA CUDA 11.6.0 5.5 up to commit 26b9f648 TensorRT 8.2.3
22.01 5.5 up to commit 26b9f648 TensorRT 8.2.2
21.12 NVIDIA CUDA 11.5.0 5.5 up to commit c6772ba4 TensorRT 8.2.1.8
21.11 5.5 up to commit c6772ba4

TensorRT 8.0.3.4

21.10 NVIDIA CUDA 11.4.2 with cuBLAS 11.6.5.2 5.5 up to commit 2897564e
21.09 NVIDIA CUDA 11.4.2 5.5 up to commit 40573bb TensorRT 8.0.3
21.08 NVIDIA CUDA 11.4.1 5.5 up to commit 851a0a79 TensorRT 8.0.1.6
21.07 NVIDIA CUDA 11.4.0 5.5 up to commit 9bca2777
21.06 NVIDIA CUDA 11.3.1 5.5 up to commit b1786aa5 TensorRT 7.2.3.4
21.05 NVIDIA CUDA 11.3.0 5.5 up to commit e92970ae
21.04 5.5 up to commit ec554a7c
21.03 NVIDIA CUDA 11.2.1 5.5 up to commit 376281ca TensorRT 7.2.2.3
21.02 NVIDIA CUDA 11.2.0 5.5 up to commit b78fdcaf TensorRT 7.2.2.3+cuda11.1.0.024
20.12 NVIDIA CUDA 11.1.1 5.5 up to commit 7905fe5a TensorRT 7.2.2
20.11

18.04

NVIDIA CUDA 11.1.0 5.5 up to commit edf6963c TensorRT 7.2.1
20.10 5.5 up to commit 49dab837
20.09 NVIDIA CUDA 11.0.3 5.5 up to commit 8372cc6a TensorRT 7.1.3
20.08 5.5 up to commit f88d5a36
20.07 NVIDIA CUDA 11.0.194 5.5 up to commit 67db30cc
20.06 NVIDIA CUDA 11.0.167 5.5 up to commit 2c7e78f TensorRT 7.1.2
20.03 NVIDIA CUDA 10.2.89 5.5 up to commit da71f301 TensorRT 7.0.0

20.02

20.01

5.5

19.12

19.11

TensorRT 6.0.1
19.10 NVIDIA CUDA 10.1.243
19.09
19.08 TensorRT 5.1.5

Known Issues

None.