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Models

Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices

Publisher

Use Case

NIM Type

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Accurate and optimized English transcriptions with punctuation and word timestamps

Expressive and engaging text-to-speech, generated from a short audio sample.

An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments

An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments

Removes unwanted noises from audio improving speech intelligibility.

Expressive and engaging text-to-speech, generated from a short audio sample.

Cutting-edge vision-language model exceling in retrieving text and metadata from images.

Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.

Robust Speech Recognition via Large-Scale Weak Supervision.

Multi-lingual model supporting speech-to-text recognition and translation.

Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.

Enhance speech by correcting common audio degradations to create studio quality speech output.

OCDNet and OCRNet are pre-trained models designed for optical character detection and recognition respectively.