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Displaying 18 results

cuda
NVIDIA
Container registry for CUDA images
Container
CUDA Deep Learning
NVIDIA
CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
Container
DiffDock
MIT
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
NVIDIA Semantic Split C-RADIO (Video)
NVIDIA
Semantic Split C-RADIO NIM for content-aware semantic video splitting of raw long-form videos.
Container
CUDA Deep Learning PB October 2025 (PB25h2)
NVIDIA
CUDA DL Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
Container
DLPP
NVIDIA
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
CUDA Deep Learning May 2025 (PB25h1)
Nvidia
CUDA Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release is a branch of CUDA DL 25.03.
Container
CUDA Deep Learning Production Branch 6
NVIDIA
CUDA DL Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
Container
PyNvVideoCodec
NVIDIA
PyNVVideoCodec (Python NVIDIA Video Codec) is a set of python APIs for hardware accelerated video decoding and encoding.
Resource
FoundationPose
NVIDIA
FoundationPose is a unified foundation model for 6D object pose estimation and tracking of objects.
Model
PyNvVideoCodec
NVIDIA
PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
Resource
Earth-2 FourCastNet 3
NVIDIA
FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
Model
cuLitho
NVIDIA
NVIDIA cuLitho: GPU-accelerated computational lithography SDK with C/C++ and Python APIs for OPC & ILT, geometry processing, optics modeling, contouring, measurements, OASIS I/O and more.
Container
SyntheticaDETR
NVIDIA
SytheticaDETR is a real-time object detection model based on a transformer architecture trained entirely in simulation and works on real images zero-shot.
Model
NVSaliENC
NVIDIA
NVSaliENC uses deep learning-based saliency maps to optimize perceptual video quality in real time, prioritizing visually important regions for efficient, bandwidth-saving compression with NVENC integration.
Model
cuLitho Documentation
NVIDIA
Documentation for NVIDIA cuLitho, the GPU-accelerated computational lithography SDK: C/C++ and pyculitho Python API reference with guides, as a single HTML site. The cuLitho container is available to NVIDIA AI Enterprise subscribers.
Resource
CUDA Toolkit
NVIDIA
CUDA Toolkit provides the core, foundational development environment for creating high performance NVIDIA GPU-accelerated applications for diverse workloads from high performance computing, data science analytics and AI.
Collection
Deep Learning Frameworks
NVIDIA
This collection contains performance-optimized Deep Learning frameworks.
Collection
1-18 of 18 items

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