Category: Misc

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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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…

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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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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Computational fluid dynamics (CFD) is used in industry and academia to address a wide range of use cases, including external aerodynamics, internal flows, heat…

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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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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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 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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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…

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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Risk and uncertainty inherent in energy exploration include unknown geological parameters, variations in fluid and rock properties, boundary conditions, and…

Risk and uncertainty inherent in energy exploration include unknown geological parameters, variations in fluid and rock properties, boundary conditions, and noisy observational data. Rigorous calibration of uncertainty for key reservoir engineering tasks and field optimization requires running a large number of forward simulations. Use cases range from history matching and probabilistic…

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