Category: Misc

The latest wave of open source large language models (LLMs), like DeepSeek R1, Llama 4, and Qwen3, have embraced Mixture of Experts (MoE) architectures. Unlike…

The latest wave of open source large language models (LLMs), like DeepSeek R1, Llama 4, and Qwen3, have embraced Mixture of Experts (MoE) architectures. Unlike traditional dense models, MoEs activate only a subset of specialized parameters—known as experts—during inference. This selective activation reduces computational overhead, leading to faster inference times and lower deployment costs.

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The conference, taking place in one of Europe’s iconic art capitals, will feature a curated gallery that showcases how AI helps bring creative visions to life.

Despite advances in medical imaging, many medical professionals still lack access to diagnostic imaging in their own offices. Vortex Imaging—a medical imaging…

Despite advances in medical imaging, many medical professionals still lack access to diagnostic imaging in their own offices. Vortex Imaging—a medical imaging device developer based in Israel and a member of the NVIDIA Inception program for startups—has built a solution. CT and MRI scans are powerful, but they require expensive infrastructure and are typically confined to hospital settings…

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Modern data centers depend on Baseboard Management Controllers (BMCs) for remote management. These embedded processors enable administrators to reconfigure…

Modern data centers depend on Baseboard Management Controllers (BMCs) for remote management. These embedded processors enable administrators to reconfigure servers, monitor hardware health, and push firmware updates—even when systems are powered off. But that same capability significantly compromises security and expands the attack surface. If left unprotected, a compromised BMC can provide…

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Tree-ensemble models remain a go-to for tabular data because they’re accurate, comparatively inexpensive to train, and fast. But deploying Python inference on…

Tree-ensemble models remain a go-to for tabular data because they’re accurate, comparatively inexpensive to train, and fast. But deploying Python inference on CPUs quickly becomes the bottleneck once you need sub-10 ms of latency or millions of predictions per second. Forest Inference Library (FIL) first appeared in cuML 0.9 in 2019, and has always been about one thing: blazing-fast…

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GeForce NOW is a gamer’s ticket to an unforgettable summer of gaming. With 25 titles coming this month and endless ways to play, the summer is going to be epic. Dive in, level up and make it a summer to remember, one game at a time. Start with the ten games available this week, including
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New AI Workbench/ Brev integration lets you connect to remote GPU instances in a few clicks.

New AI Workbench/ Brev integration lets you connect to remote GPU instances in a few clicks.

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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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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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