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Streamlining Data Processing for Domain Adaptive Pretraining with NVIDIA NeMo Curator

NVIDIA NeMo Curator icon on a purple background.Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate…NVIDIA NeMo Curator icon on a purple background.

Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate greater capabilities in domain-specific tasks compared to their off-the-shelf open or commercial counterparts. Recently, NVIDIA published a paper about ChipNeMo, a family of foundation models that are geared toward industrial chip design…

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Accelerating the HPCG Benchmark with NVIDIA Math Sparse Libraries

Decorative image of light fields in green, purple, and blue.In the realm of high-performance computing (HPC), NVIDIA has continually advanced HPC by offering its highly optimized NVIDIA High-Performance Conjugate…Decorative image of light fields in green, purple, and blue.

In the realm of high-performance computing (HPC), NVIDIA has continually advanced HPC by offering its highly optimized NVIDIA High-Performance Conjugate Gradient (HPCG) benchmark program as part of the NVIDIA HPC benchmark program collection. We now provide the NVIDIA HPCG benchmark program in the /NVIDIA/nvidia-hpcg GitHub repo, using its high-performance math libraries, cuSPARSE…

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A cute probability fact (part 1)

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Offsites

A cute probability fact (part 2)

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Offsites

A cute probability fact (part 3)

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Misc

Spotlight: Shell Accelerates CO2 Storage Modeling 100,000x Using NVIDIA Modulus

As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero…

As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero emissions. The CCS technology—which involves capturing carbon dioxide (CO2), either from industrial emissions or through direct air capture (DAC), and securely storing it in the subsurface—can drive much-needed decarbonization strategies and help…

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Live Media Reimagined: NVIDIA Holoscan for Media Now Available for Production

Companies in broadcast, sports and streaming are transitioning to software-defined infrastructure to benefit from flexible deployment and to more easily adopt the latest AI technologies. NVIDIA Holoscan for Media, now in limited availability, is an AI-enabled, software-defined platform that allows live media and video pipelines to run on the same infrastructure as AI. This enables
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Transform Live Media Pipelines with NVIDIA Holoscan for Media

GIF of live stream being modified by NVIDIA Holoscan for Media.NVIDIA Holoscan for Media is now ready to be used in live production, taking advantage of the best of both networking and GPU technologies.  Holoscan for…GIF of live stream being modified by NVIDIA Holoscan for Media.

NVIDIA Holoscan for Media is now ready to be used in live production, taking advantage of the best of both networking and GPU technologies. Holoscan for Media is a software-defined, AI-enabled platform that enables live video pipelines to run on the same infrastructure as AI. It delivers applications from established and emerging vendors across the ecosystem on repurposable…

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High-Tech AI Framework Transforms Global Marine Pollution Tracking

A satellite in space with earth in the background.An AI-powered remote sensing study offers a dynamic new tool for global ocean cleanup efforts. Detailed in the ISPRS Journal of Photogrammetry and Remote…A satellite in space with earth in the background.

An AI-powered remote sensing study offers a dynamic new tool for global ocean cleanup efforts. Detailed in the ISPRS Journal of Photogrammetry and Remote Sensing, the breakthrough unveils MariNeXt, a deep-learning framework that detects and identifies marine pollution using high-resolution Sentinel-2 imagery. MariNeXt could revolutionize how resource managers and agencies globally monitor and…

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Enhancing Application Portability and Compatibility across New Platforms Using NVIDIA Magnum IO NVSHMEM 3.0

NVSHMEM is a parallel programming interface that provides efficient and scalable communication for NVIDIA GPU clusters. Part of NVIDIA Magnum IO and based on…

NVSHMEM is a parallel programming interface that provides efficient and scalable communication for NVIDIA GPU clusters. Part of NVIDIA Magnum IO and based on OpenSHMEM, NVSHMEM creates a global address space for data that spans the memory of multiple GPUs and can be accessed with fine-grained GPU-initiated operations, CPU-initiated operations, and operations on CUDA streams.

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