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Misc

Making Industrial Robots More Nimble With NVIDIA Isaac Manipulator and Vention MachineMotion AI

As industrial automation accelerates, factories are increasingly relying on advanced robotics to boost productivity and operational resilience. The successful…

As industrial automation accelerates, factories are increasingly relying on advanced robotics to boost productivity and operational resilience. The successful deployment of robots depends on capabilities like precise motion planning, accurate spatial perception, and robust obstacle avoidance. AI-enabled robotics and software-defined automation help make factories more autonomous, scalable…

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NVIDIA Stockholder Meeting Set for June 25; Individuals Can Participate Online

SANTA CLARA, Calif., June 11, 2025 (GLOBE NEWSWIRE) — NVIDIA today announced it will hold its 2025 Annual Meeting of Stockholders online on Wednesday, June 25, at 9 a.m. PT. The meeting will …

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Transformers backend integration in SGLang

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Misc

(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

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Step Inside the Vault: The ‘Borderland’ Series Arrives on GeForce NOW

GeForce NOW is throwing open the vault doors to welcome the legendary Borderland series to the cloud. Whether a seasoned Vault Hunter or new to the mayhem of Pandora, prepare to experience the high-octane action and humor that define the series that includes Borderlands Game of the Year Enhanced, Borderlands 2, Borderlands 3 and Borderlands:
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Run Multimodal Extraction for More Efficient AI Pipelines Using One GPU

A decorative image.As enterprises generate and consume increasing volumes of diverse data, extracting insights from multimodal documents, like PDFs and presentations, has become a…A decorative image.

As enterprises generate and consume increasing volumes of diverse data, extracting insights from multimodal documents, like PDFs and presentations, has become a major challenge. Traditional text-only extraction and basic retrieval-augmented generation (RAG) pipelines fall short, failing to capture the full value of these complex documents. The result? Missed insights, inefficient workflows…

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Real-Time IT Incident Detection and Intelligence with NVIDIA NIM Inference Microservices and ITMonitron

In today’s fast-paced IT environment, not all incidents begin with obvious alarms. They may start as subtle, scattered signals, a missed alert, a quiet SLO…

In today’s fast-paced IT environment, not all incidents begin with obvious alarms. They may start as subtle, scattered signals, a missed alert, a quiet SLO breach, or a degraded service that slowly impacts users. Designed by the NVIDIA IT team, ITMonitron is an internal tool that helps make sense of these faint signals. By combining real-time telemetry with NVIDIA NIM inference microservices…

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Finding the Best Chunking Strategy for Accurate AI Responses

Decorative image.A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results,…Decorative image.

A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results, inefficiency, and reduced business value. It determines how effectively relevant information is fetched for accurate AI responses. With so many options available—page-level, section-level, or token-based chunking with various sizes—how do…

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Compiler Explorer: The Kernel Playground for CUDA Developers

Have you ever wondered exactly what the CUDA compiler generates when you write GPU kernels? Ever wanted to share a minimal CUDA example with a colleague…

Have you ever wondered exactly what the CUDA compiler generates when you write GPU kernels? Ever wanted to share a minimal CUDA example with a colleague effortlessly, without the need for them to install a specific CUDA toolkit version first? Or perhaps you’re completely new to CUDA and looking for an easy way to start without needing to install anything or even having a GPU on hand?

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How Early Access to NVIDIA GB200 Systems Helped LMArena Build a Model to Evaluate LLMs

LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and…

LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and Nebius. Its rankings, powered by the Prompt-to-Leaderboard (P2L) model, collect votes from humans on which AI performs best in areas such as math, coding, or creative writing. “We capture user preferences across tasks and apply…

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