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Displaying 33 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
Gemma 4 31B IT
Google
Gemma 4 31B IT model which, is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output.
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
msa-search
ColabFold
The Multiple Sequence Alignment (MSA) Search NIM enables protein structure prediction models by providing fast, accurate sequence alignments of a query amino acid sequence against large databases of known proteins.
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
Kimi K2.6
MoonshotAI
The Kimi-K2.6 Certified NIM Container is a deployable inference container for serving Kimi-K2.6, a third-party multimodal Mixture-of-Experts model capable of processing text, image, and video inputs for text generation.
Container
Whisper Large v3 - Speech to Text
NVIDIA
Robust Speech Recognition via Large-Scale Weak Supervision.
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
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
minimax-m2-5
NVIDIA
The MiniMax-M2.5 NIM Container is a deployable inference container for serving MiniMax-M2.5, a third-party text generation model optimized for complex agentic tasks including software engineering, tool use, search.
Container
qwen3-next-80b-a3b-instruct
JET Artifacts Registry
Qwen3-Next-80B-A3B is the first installment in the Qwen3-Next series and features the following key enchancements: Hybrid Attention, High-Sparsity Mixture-of-Experts (MoE), Stability Optimizations and Multi-Token Prediction (MTP)
Container
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