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Displaying 24 results

NeMo Retriever PaddleOCR
NVIDIA
PaddleOCR is an ultra lightweight Optical Character Recognition (OCR) system by Baidu. PaddleOCR supports a variety of cutting-edge algorithms related to OCR.
Container
Llama-3.2-3B-Instruct
NVIDIA
NVIDIA NIM for GPU accelerated Llama-3.2-3B-Instruct inference through OpenAI compatible APIs
Container
Llama-3.2-1B-Instruct
NVIDIA
This container houses the Llama-3.2-1B-Instruct, a compact 1B parameter model from Meta AI fine-tuned for dialogue. It's designed to be highly efficient and accessible, making it adept at question answering, summarization, and other instructions.
Container
mixtral-8x7b-instruct-v0-1
NVIDIA
Please add descriptionNVIDIA NIM for GPU accelerated Mixtral-8x7B-Instruct-v0.1 inference through OpenAI compatible APIs
Container
Boltz-2
mit
Boltz-2 NIM is a next-generation structural biology foundation model that shows strong performance for both structure and affinity prediction.
Container
nemotron-3.5-lightning
NVIDIA
NVIDIA-Nemotron-3.5-Lightning-30B-A3B is a large language model (LLM) trained by NVIDIA. The model employs a hybrid Mixture-of-Experts architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers.
Container
GPT-OSS-20B
NVIDIA
NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
Container
Mistral-7B-Instruct-v0.3
NVIDIA
This container houses the Mistral-7B-Instruct-v0.3, a large language model fine-tuned for instruction-based tasks. An improved version of Mistral-7B-v0.3, it is designed to be easily fine-tuned to achieve compelling performance.
Container
Llama-3.3-Nemotron-Super-49B-v1
NVIDIA
NVIDIA NIM for GPU accelerated Llama-3.3-Nemotron-Super-49B-v1 inference through OpenAI compatible APIs
Container
NeMo Retriever Graphic Elements v1
NVIDIA
NVIDIA NeMo™ Retriever NIM for graphic elements v1 is a fine-tuned object detection model, trained specifically for detecting the elements of charts and tables in documents
Container
NeMo Retriever Page Elements v2
NVIDIA
NVIDIA NeMo™ Retriever NIM for page elements v2 is a fine-tuned object detection model, trained specifically for detecting charts, tables, infographics, and titles on a document page.
Container
NeMo Retriever Table Structure v1
NVIDIA
NVIDIA NeMo™ Retriever NIM for table structure v1 is a fine-tuned object detection model, trained specifically for detecting the structure of complex tables.
Container
Nemotron-3-Ultra-550B-A55B
NVIDIA
Nemotron-3-Ultra-550B-A55B NIM container packages NVIDIA's large language model featuring a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Multi-Token Prediction (MTP) layers.
Container
NVIDIA-Nemotron-Nano-12B-v2-VL
NVIDIA
This container houses the Nemotron Nano12B v2 VL model, which is an advanced autoregressive Visual Language Model (VLM) designed for document transcription from images and videos, outputting text in a reading order.
Container
OpenFold3
NVIDIA
OpenFold3 is a widely used model for predicting the 3D structures of biomolecular complexes from the amino acid sequences, dna sequences, rna sequences, and ligand specifiers for the molecules in the complex.
Container
Llama-3.1-Nemotron-Nano-8B-v1
NVIDIA
NVIDIA NIM for GPU accelerated Llama-3.1-Nemotron-Nano-8B-v1 inference through OpenAI compatible APIs
Container
Cosmos Reason-2-8B
NVIDIA
Given a text prompt and an input video, think and generate the answer with respect to the input text prompt and video.
Container
Llama 3.1 Nemotron Nano VL 8B v1
NVIDIA
This container houses the Llama-3.1-Nemotron-Nano-VL-8B-V1 model, a leading document intelligence vision language model (VLMs) that enables the ability to query and summarize images from the physical or virtual world.
Container
Nemotron-3-Nano-Omni-30B-A3B-Reasoning
NVIDIA
Nemotron Nano V3 Omni is a multi-modal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.
Container
Active Speaker Detection
NVIDIA
NVIDIA Active Speaker Detection NIM supports the detection and identification of multiple speakers in a video stream
Container
nemotron-3.5-content-safety
NVIDIA
The Nemotron 3.5 Content Safety NIM container packages NVIDIA's small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal, multilingual, and reasoning-oriented content-safety datasets.
Container
Cosmos3 Reasoner
NVIDIA
Given multimodal inputs including text, images, and video, generates coherent text responses for multimodal understanding, action reasoning, and Physical AI applications.
Container
Muse Glimmer
Meta
A deployable inference container for serving a 30B dense multimodal causal language model with a perception encoder through industry-standard APIs.
Container
deepseek-v4.1-flash
NVIDIA
DeepSeek-V4.1-Flash delivered as an NVIDIA NIM container: OpenAI-compatible APIs for text generation, reasoning, coding, agentic tool use and image understanding with a 1M-token context.
Container
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