For media company Black Mixture, AI isn’t just a tool — it’s an entire pipeline to help bring creative visions to life. Founded in 2010 by Nate and Chriselle Dwarika, Black Mixture takes an innovative approach to using AI in creative workflows. It built its visual reputation in motion design and production using traditional artistry
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Sharpen the blade and brace for a journey steeped in myth and mystery. WUCHANG: Fallen Feathers has launched in the cloud. Ride in style with skateboarding legends in Tony Hawk’s Pro Skater 1 + 2, now just a grind away. Or team up with friends to fend off relentless Zed hordes in the pulse-pounding action
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The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from…
The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from semantic search and recommendation engines to retrieval-augmented generation (RAG)—depend on embeddings to transform data so LLMs and other models can understand and process it. Yet generating embeddings for millions or billions of…
The PDF is among the most common file formats for sharing information such as financial reports, research papers, technical documents, and marketing materials….
The PDF is among the most common file formats for sharing information such as financial reports, research papers, technical documents, and marketing materials. However, when building effective retrieval-augmented generation (RAG) systems, extracting useful content from PDFs remains a major challenge. This is especially true for complex elements like charts, tables, and infographics.
Marketing leaders are accelerating content pipelines with solutions built using OpenUSD, NVIDIA Omniverse and agentic AI.
Have you ever wanted to build your own reasoning model but thought it was too complicated or required massive resources? Think again. With NVIDIA’s powerful…
Have you ever wanted to build your own reasoning model but thought it was too complicated or required massive resources? Think again. With NVIDIA’s powerful tools and datasets, you can train a small, effective reasoning model in about 48 hours, all on a single GPU. Even better, we’ve made all the code available to you to get started right away. Let’s dive in.
The NVIDIA Collective Communications Library (NCCL) is essential for fast GPU-to-GPU communication in AI workloads, using various optimizations and tuning to…
The NVIDIA Collective Communications Library (NCCL) is essential for fast GPU-to-GPU communication in AI workloads, using various optimizations and tuning to boost performance. However, as platforms diversify, default NCCL settings may not always deliver optimal results. This post discusses why tuning is important and how users can enhance performance with custom tuner plugins. It also presents a…
Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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