DataBloom

Stephen Jones, a leading expert and distinguished NVIDIA CUDA architect, offers his guidance and insights with a deep dive into the complexities of mapping…

Stephen Jones, a leading expert and distinguished NVIDIA CUDA architect, offers his guidance and insights with a deep dive into the complexities of mapping applications onto massively parallel machines. Going beyond the basics to explore the intricacies of GPU programming, he focuses on practical techniques such as parallel program design and specific details of GPU optimization for improving the…

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Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is…

Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is improving crop production and profits, while reducing waste, greenhouse gas emissions, and pesticide use. Around 6% of the world’s CO2 emissions come from farming. And every year, up to 40% of crops are lost due to pests and disease.

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Launched this week in limited availability, NVIDIA Holoscan for Media is a software-defined, AI-enabled platform that helps developers easily integrate AI into their live media applications and allows media companies to run live media pipelines on the same infrastructure as AI.

Enterprises are looking for increasingly powerful compute to support their AI workloads and accelerate data processing. The efficiency gained can translate to better returns for their investments in AI training and fine-tuning, and improved user experiences for AI inference. At the Oracle CloudWorld conference today, Oracle Cloud Infrastructure (OCI) announced the first zettascale OCI Supercluster,
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To accelerate autonomous vehicle development and deployment timelines, Nuro announced today it will license its Nuro Driver autonomous driving system directly to automakers and mobility providers. The Nuro Driver is built on NVIDIA’s end-to-end safety architecture, which includes NVIDIA GPUs for AI training in the cloud and an automotive-grade NVIDIA DRIVE Thor computer running the
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Accelerate your OpenUSD workflows with this free curriculum for developers and 3D practitioners.

Accelerate your OpenUSD workflows with this free curriculum for developers and 3D practitioners.

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As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of…

As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of serving such LLMs is becoming higher. One way to reduce this cost is to apply post-training quantization (PTQ), which consists of techniques to reduce computational and memory requirements for serving trained models. In this post…

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Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate…

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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In the realm of high-performance computing (HPC), NVIDIA has continually advanced HPC by offering its highly optimized NVIDIA High-Performance Conjugate…

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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