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Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 12 results

NVIDIA NIM for GPU accelerated Llama-3.2-3B-Instruct inference through OpenAI compatible APIs
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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.
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Boltz-2 NIM is a next-generation structural biology foundation model that shows strong performance for both structure and affinity prediction.
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NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
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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.
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NVIDIA NIM for GPU accelerated Llama-3.3-Nemotron-Super-49B-v1 inference through OpenAI compatible APIs
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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.
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Given a text prompt and an input video, think and generate the answer with respect to the input text prompt and video.
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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.
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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.
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Given multimodal inputs including text, images, and video, generates coherent text responses for multimodal understanding, action reasoning, and Physical AI applications.
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A deployable inference container for serving a 30B dense multimodal causal language model with a perception encoder through industry-standard APIs.
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