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The journey to create a state-of-the-art large language model (LLM) begins with a process called pretraining. Pretraining a state-of-the-art model is…

The journey to create a state-of-the-art large language model (LLM) begins with a process called pretraining. Pretraining a state-of-the-art model is computationally demanding, with popular open-weights models featuring tens to hundreds of billions parameters and trained using trillions of tokens. As model intelligence grows with increasing model parameter count and training dataset size…

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The previous post, NVIDIA Blackwell Delivers up to 2.6x Higher Performance in MLPerf Training v5.0, explains how the NVIDIA platform delivered the fastest time…

The previous post, NVIDIA Blackwell Delivers up to 2.6x Higher Performance in MLPerf Training v5.0, explains how the NVIDIA platform delivered the fastest time to train across all seven benchmarks in this latest MLPerf round. This post provides a guide to reproduce the performance of NVIDIA MLPerf v5.0 submissions of Llama 2 70B LoRA fine-tuning and Llama 405B pretraining.

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Humans learn the norms, values and behaviors of society from each other — and Bernt Børnich, founder and CEO of 1X Technologies, thinks robots should learn like this, too. “For robots to be truly intelligent and show nuances like being careful around your pet, holding the door open for an elderly person and generally behaving
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Molecular dynamics (MD) simulations model atomic interactions over time and require significant computational power. However, many simulations have small…

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The success of LLMs in chat and digital assistant applications is sparking high expectations for their potential in business process automation. While achieving…

The success of LLMs in chat and digital assistant applications is sparking high expectations for their potential in business process automation. While achieving human-level reliability in such workflows has been challenging, it has highlighted key areas for improvement and fueled ongoing innovation. Despite reliability challenges, there’s tremendous business potential in automating workflows…

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With the growth of large language models (LLMs), deep learning is advancing both model architecture design and computational efficiency. Mixed precision…

With the growth of large language models (LLMs), deep learning is advancing both model architecture design and computational efficiency. Mixed precision training, which strategically employs lower precision formats like brain floating point 16 (BF16) for computationally intensive operations while retaining the stability of 32-bit floating-point (FP32) where needed, has been a key strategy for…

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NVIDIA is working with companies worldwide to build out AI factories — speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened performance requirements of these new applications. In the latest round of MLPerf Training — the
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4:2:2 cameras — capable of capturing double the color information compared with most standard cameras — are becoming widely available for consumers. At the same time, generative AI video models are rapidly increasing in functionality and quality, making new tools and workflows possible. NVIDIA RTX GPUs based on the NVIDIA Blackwell architecture include dedicated hardware
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