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Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 120 results

Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
Container
Riva Speech Skills is a scalable Conversational AI service platform.
Container
Kaldi
NVIDIA
Kaldi is an open-source software framework for speech processing.
Container
Nemotron ASR Streaming
Container
Robust Speech Recognition via Large-Scale Weak Supervision.
Container
Scripts and utilities for getting started with Riva Speech Skills
Resource
Accurate and optimized English transcriptions with punctuation and word timestamps
Container
Accurate and optimized Vietnamese English transcriptions with punctuation and word timestamps
Container
Accurate and optimized Mandarin English transcriptions with punctuation and word timestamps
Container
Parakeet-0.6B hybrid-RNNT training with CTC head for zh-tw streaming ASR. Supports Taiwanese Mandarin (zh-tw) and light code-switching capability for Taiwanese Mandarin-English.
Container
The Domain Specific - NeMo Automatic Speech Recognition (ASR) Application facilitates training, evaluation and performance comparison of ASR models. This NeMo application enables you to train or fine-tune pre-trained ASR models with your own data.
Container
Multi-scale Diarization Decoder (MSDD) model for speaker diarization of telephone conversations
Model
ASR + BERT QA interactive chatbot demo for Jetson
Container
Citrinet 1024 with kernel scaling factor (gamma) of 25% trained on ASR Set dataset
Model
End to End workflow for speech to text training with TAO Toolkit and deployment using Riva.
Resource
Citrinet-1024 model with kernel scaling factor (gamma) of 25%, which has been trained on the open-source Aishell-2 Mandarin Chinese corpus.
Model
End to End workflow for speech to text citrinet training with TAO Toolkit and deployment using Riva.
Resource
This model card contains a Small Audio Codec model trained on the Libri-Light audiobook recordings dataset, comprising approximately 60,000 hours of English language speech with a 16kHz sampling rate.
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AmberNet Lang ID model for Spoken Language Identification
Model
Conformer-CTC-XLarge model for English Automatic Speech Recognition, Trained on NeMo ASRSET
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German Citrinet 1024 model.
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Conformer-CTC-Large model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
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Conformer-CTC-Large model for Russian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 (Russian), Golos (Russian), Russian LibriSpeech (RuLS) and SOVA (RuAudiobooksDevices, RuDevices) datasets.
Model
NVIDIA Nemotron 3.5 Transcribe NIM
Container
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