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Misc

Encoding and Compression Guide for Parquet String Data Using RAPIDS

Parquet writers provide encoding and compression options that are turned off by default. Enabling these options may provide better lossless compression for your…

Parquet writers provide encoding and compression options that are turned off by default. Enabling these options may provide better lossless compression for your data, but understanding which options to use for your specific use case is critical to making sure they perform as intended. In this post, we explore which encoding and compression options work best for your string data.

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NVIDIA Transitions Fully Towards Open-Source GPU Kernel Modules

Decorative image of light fields in green, purple, and blue.With the R515 driver, NVIDIA released a set of Linux GPU kernel modules in May 2022 as open source with dual GPL and MIT licensing. The initial release targeted…Decorative image of light fields in green, purple, and blue.

With the R515 driver, NVIDIA released a set of Linux GPU kernel modules in May 2022 as open source with dual GPL and MIT licensing. The initial release targeted datacenter compute GPUs, with GeForce and Workstation GPUs in an alpha state. At the time, we announced that more robust and fully-featured GeForce and Workstation Linux support would follow in subsequent releases and the NVIDIA Open…

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Develop Generative AI-Powered Visual AI Agents for the Edge

An illustration representing an AI model.An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to…An illustration representing an AI model.

An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and adaptable. These models can run on the NVIDIA Jetson Orin edge AI platform or discrete GPUs through NIMs. This blog post explores how to build…

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Decoding How AI-Powered Upscaling on NVIDIA RTX Improves Video Quality

Video is everywhere — nearly 80% of internet bandwidth today is used to stream video from content providers and social networks.

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Building an AI Agent for Supply Chain Optimization with NVIDIA NIM and cuOpt

GIF of a factory floor with potential paths marked in green.Enterprises face significant challenges in making supply chain decisions that maximize profits while adapting quickly to dynamic changes. Optimal supply chain…GIF of a factory floor with potential paths marked in green.

Enterprises face significant challenges in making supply chain decisions that maximize profits while adapting quickly to dynamic changes. Optimal supply chain operations rely on advanced analytics and real-time data processing to adapt to rapidly changing conditions and make informed decisions. Optimization is everywhere. To meet customer commitments and minimize risks…

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New Workshops: Customize LLMs, Build and Deploy Large Neural Networks

Register now for an instructor-led public workshop in July, August or September. Space is limited.

Register now for an instructor-led public workshop in July, August or September. Space is limited.

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SmolLM – blazingly fast and remarkably powerful

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Misc

Next-Gen Video Editing: Wondershare Filmora Adds NVIDIA RTX Video HDR Support, RTX-Accelerated AI Features

Wondershare Filmora — a video editing app with AI-powered tools — now supports NVIDIA RTX Video HDR, joining editing software like Blackmagic Design’s DaVinci Resolve and Cyberlink PowerDirector.

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Misc

How we leveraged distilabel to create an Argilla 2.0 Chatbot

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Misc

Power Your AI Projects with New NVIDIA NIMs for Mistral and Mixtral Models

Large language models (LLMs) are growing in adoption across enterprise organizations, with many building them into their AI applications. Foundation models are…

Large language models (LLMs) are growing in adoption across enterprise organizations, with many building them into their AI applications. Foundation models are powerful starting points but require work to build into production-ready environments. NVIDIA NIM simplifies this process, enabling organizations to run AI models anywhere, across the data center, cloud, workstations, and PCs.

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