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Accelerating GPU Analytics Using RAPIDS and Ray

RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries that are well supported for scale-out with distributed engines like Spark and…

RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries that are well supported for scale-out with distributed engines like Spark and Dask. Ray is a popular open-source distributed Python framework commonly used to scale AI and machine learning (ML) applications. Ray particularly excels at simplifying and scaling training and inference pipelines and can easily target both…

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Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices

A surgeon using a medical device in an operating room.Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced…A surgeon using a medical device in an operating room.

Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced to clinicians and patients, they require training to use them properly and safely. Once in use, clinicians or patients may need help troubleshooting issues. Medical devices are often accompanied by lengthy and technically complex…

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NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)…

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML) competition. Data scientists and engineers designed models that were evaluated based on accuracy and processing speed. The top three teams walked away with prize packages that included NVIDIA RTX Ada Generation GPUs, Google Colab credits…

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Taking Computational Fluid Dynamics to the Next Level with the NVIDIA H200 Tensor Core GPU

Picture of the NVIDIA H200 NVL GPU on a black background.Computational fluid dynamics (CFD) is used in industry and academia to address a wide range of use cases, including external aerodynamics, internal flows, heat…Picture of the NVIDIA H200 NVL GPU on a black background.

Computational fluid dynamics (CFD) is used in industry and academia to address a wide range of use cases, including external aerodynamics, internal flows, heat transfer, combustion, reacting flows, free-surface flows, multiphase flows, and aero-acoustics. CFD solvers are commonly used to simulate external aerodynamics, which helps reduce drag and improve fuel efficiency…

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Just Released: GPU Zen 3: Advanced Rendering Techniques

Grab your copy of GPU Zen 3 to lean about the latest in real-time rendering, including NVIDIA contributions to Cyberpunk 2077.

Grab your copy of GPU Zen 3 to lean about the latest in real-time rendering, including NVIDIA contributions to Cyberpunk 2077.

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Evaluating Audio Reasoning with Big Bench Audio

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New Whitepaper: NVIDIA AI Enterprise Security

This white paper details our commitment to securing the NVIDIA AI Enterprise software stack. It outlines the processes and measures NVIDIA takes to ensure…

This white paper details our commitment to securing the NVIDIA AI Enterprise software stack. It outlines the processes and measures NVIDIA takes to ensure container security.

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Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for…

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for fine-tuning and pretraining generative AI models. Their value lies in enhancing data quality by filtering out low-quality or toxic data, ensuring only clean and relevant information feeds downstream processes. Beyond filtering…

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RAPIDS 24.12 Introduces cuDF on PyPI, CUDA Unified Memory for Polars, and Faster GNNs

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up groupby aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the…

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the Polars GPU engine, and faster graph neural network (GNN) training on real-world graphs. Starting with the 24.12 release of RAPIDS, CUDA 12 builds of , , , and all of their dependencies are now available on PyPI. As a result…

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AI Vision Helps Green Recycling Plants

Images on a conveyor belt identifed with computer vision.Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world’s annual municipal waste will reach 3.88B…Images on a conveyor belt identifed with computer vision.

Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world’s annual municipal waste will reach 3.88B tons. But the global recycling industry is far from efficient. Annually, as much as $120B of potentially recoverable plastic—let alone paper or metals—ends up in landfills rather than within new products made with recycled materials.

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