AI / Deep Learning

AI and Deep learning are used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition, and natural language processing. The NVIDIA Deep Learning SDK provides high-performance tools and libraries to power innovative GPU-accelerated machine learning applications in the cloud, data centers, workstations, and embedded platforms.

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abstract
Running Python UDFs in Native NVIDIA CUDA Kernels with the RAPIDS cuDF
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26
complex-pneumonia-lesions-CT (2)
Accelerating Deep Learning Research in Medical Imaging Using MONAI
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137
rotated-bounding-box-odtk (2)
Detecting Rotated Objects Using the NVIDIA Object Detection Toolkit
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clara-deploy-in-healthcare-ecosystem
Deploying Healthcare AI Workflows with the NVIDIA Clara Deploy Application Framework (updated)
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jarvis-server-tts-pipeline
Getting a Real Time Factor Over 60 for Text-To-Speech Services Using NVIDIA Jarvis
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Laikago
Building an Intelligent Robot Dog with the NVIDIA Isaac SDK
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hpc-deep-learing-containers-ngc (2)
Simplifying HPC Workflows with NVIDIA NGC Container Environment Modules
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spark-performance-improvement-gpu
Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs
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bert-photo
Training and Fine-tuning BERT Using NVIDIA NGC
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bi3d-estimate-binary-depth (2)
Improving Computer Vision with NVIDIA A100 GPUs
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end-to-end-data-processing-pipeline-throughput-featured
Loading Data Fast with DALI and the New Hardware JPEG Decoder in NVIDIA A100 GPUs
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compressed-butterfly (2)
Leveraging the Hardware JPEG Decoder and NVIDIA nvJPEG Library on NVIDIA A100 GPUs
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43
nvidia-merlin-architecture-3
Announcing NVIDIA Merlin: An Application Framework for Deep Recommender Systems
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DGX A100
Defining AI Innovation with NVIDIA DGX A100
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time-spent-per-iteration
State-of-the-Art Language Modeling Using Megatron on the NVIDIA A100 GPU
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