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A Fine-tuning–Free Approach for Rapidly Recovering LLM Compression Errors with EoRA

Model compression techniques have been extensively explored to reduce the computational resource demands of serving large language models (LLMs) or other…

Model compression techniques have been extensively explored to reduce the computational resource demands of serving large language models (LLMs) or other large-size neural networks. However, most existing methods either incur significant accuracy degradation compared to uncompressed models or have long training times. Also, their adaptability is often constrained by a limited range of…

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UK Prime Minister, NVIDIA CEO Set the Stage as AI Lights Up Europe

AI isn’t waiting. And this week, neither is Europe. At London’s Olympia, under a ceiling of steel beams and enveloped by the thrum of startup pitches, it didn’t feel like the start of a conference — it felt like the start of something bigger. NVIDIA founder and CEO Jensen Huang joined U.K. Prime Minister Sir
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‘AI Maker, Not an AI Taker’: UK Builds Its Vision With NVIDIA Infrastructure

U.K. Prime Minister Keir Starmer’s ambition for Britain to be an “AI maker, not an AI taker,” is becoming a reality at London Tech Week. With NVIDIA’s support, the U.K. is building sovereign compute infrastructure, investing in cutting-edge research and skills, and fostering AI leadership across sectors. As London Tech Week kicks off today, NVIDIA
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AI Helps Locate Dangerous Fishing Nets Lost at Sea

Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or…

Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or lost fishing nets—so-called ghost nets. Each year, around 2% of the world’s fishing gear—including roughly 80,000 square kilometers of fishing nets—is lost in the oceans. Those nets threaten marine wildlife like seals, turtles…

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Introducing the Nemotron-H Reasoning Model Family: Throughput Gains Without Compromise

As large language models increasingly take on reasoning-intensive tasks in areas like math and science, their output lengths are getting significantly…

As large language models increasingly take on reasoning-intensive tasks in areas like math and science, their output lengths are getting significantly longer—sometimes spanning tens of thousands of tokens. This shift makes efficient throughput a critical bottleneck, especially when deploying models in real-world, latency-sensitive environments. To address these challenges and enable the…

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How NVIDIA GB200 NVL72 and NVIDIA Dynamo Boost Inference Performance for MoE Models

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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ScreenSuite – The most comprehensive evaluation suite for GUI Agents!

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Artists, Fashion Designers Tap State-of-the-Art AI for NVIDIA GTC Paris Gallery

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.

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Vortex Delivers CT-Like Ultrasound to Doctors Offices With NVIDIA Jetson

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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Analyzing Baseboard Management Controllers to Secure Data Center Infrastructure

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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