SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 893 results
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
      Model
      NVIDIA Audio2Face is a microservice for animating 3D character's facial characteristics to match any audio track, whether for a game, film, or real-time digital assistant.
        Model
        NVIDIA
        NVIDIA
        PeopleNet
        3 class object detection network to detect people in an image.
          Model
          Semantic segmentation of persons in an image.
            Model
            Audio2Emotion TRT Engine.
              Model
              NVIDIA
              NVIDIA
              NVOF
              NVOF is a deep learning based optical flow estimation and stereo matching solution.
              Model
              The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
              Model
              The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes (text in/text out).
                Model
                The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes (text in/text out).
                Model
                FourCastNet V2 model for predicting atmospheric dynamics.
                Model
                efficientnet-widese-b4 ImageNet pretrained weights
                  Model
                  Meta-Llama-3-70B-Instruct is an instruct-tuned decoder-only, text-to-text model. The instruction-tuning uses supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.
                  Model
                  4 class object detection network to detect cars in an image.
                  Model
                  Contains files used in rmir creation
                    Model
                    The Meta Llama 3.3 multilingual large language model (LLM) is an instruction-tuned generative model in 70B (text in/text out).
                    Model
                    The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
                    Model
                    Microsoft
                    Microsoft
                    Phi-4
                    Phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. Source: https://huggingface.co/microsoft/phi-4
                    Model
                    Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University
                    ChatGLM3-6B Chat Int4
                    ChatGLM3-6B is the latest open-source model in the ChatGLM series. ChatGLM3-6B introduces the following features (1) More Powerful Base Model (2) More Comprehensive Function Support (3) More Comprehensive Open-source Series.
                    Model
                    NVIDIA
                    NVIDIA
                    DLPP
                    DLPP is a family of lightweight deep-learning networks trained for video post-processing. The model's introduction can be found at https://blogs.nvidia.com/blog/rtx-video-super-resolution/. To the public, it is also known as RTX VSR.
                    Model
                    The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out).
                      Model
                      The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
                      Model
                      Contains files used in rmir creation
                        Model
                        1 class instance segmentation network to detect and segment instances of people in an image.
                        Model
                        GPUNet-0 ImageNet pretrained weights
                        Model
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