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Displaying 16 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
OpenFold2
NVIDIA
OpenFold2 is a protein structure prediction model from the OpenFold Consortium and the Alquraishi Laboratory. 
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
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
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
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
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
Nemotron Parse v2.0
NVIDIA
NVIDIA Nemotron Parse v2.0 model is designed to understand document semantics and extract text and tables elements with spatial grounding.
Container
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