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Engineer in a modern lab monitors dual RTX 4090 rigs, with code screens and performance graphs highlighting doubled AI inference speed.

Editorial illustration for NVIDIA RTX PCs Get 2x Speed Boost for AI File Search and LLM Inference

RTX PCs Double Speed for AI File Search and LLM Tasks

Hyperlink Agent Search on NVIDIA RTX PCs doubles LLM inference speed

Updated: 2 min read

The hunt for the right file just got a serious upgrade. NVIDIA's latest RTX PC enhancement promises to transform how we search and interact with local data, turning what was once a tedious digital scavenger hunt into a lightning-fast intelligence gathering mission.

Imagine finding exactly the document you need in seconds, not hours. The new Hyperlink Agent Search technology is poised to change how professionals and everyday users navigate their digital archives, bringing generative AI's power directly to personal computing.

Speed matters in information retrieval, and NVIDIA knows it. By dramatically accelerating how quickly AI can understand and parse through thousands of files, the company is solving a critical pain point for knowledge workers drowning in digital documents.

But this isn't just about faster searches. It's about smarter, more simple ways of finding and using information - turning local data into an instant, intelligent resource at your fingertips.

In addition, LLM inference is accelerated by 2x for faster responses to user queries. Turn Local Data Into Instant Intelligence Hyperlink uses generative AI to search thousands of files for the right information, understanding the intent and context of a user's query, rather than merely matching keywords. To do this, it creates a searchable index of all local files a user indicates -- whether a small folder or every single file on a computer.

Users can describe what they're looking for in natural language and find relevant content across documents, slides, PDFs and images. For example, if a user asks for help with a "Sci-Fi book report comparing themes between two novels," Hyperlink can find the relevant information -- even if it's saved in a file named "Lit_Homework_Final.docx." Combining search with the reasoning capabilities of RTX-accelerated LLMs, Hyperlink then answers questions based on insights from a user's files.

AI-powered local search is getting a serious speed upgrade. NVIDIA RTX PCs can now process file searches twice as fast, transforming how we navigate personal data archives.

Hyperlink's approach goes beyond traditional keyword matching. The system creates a full, searchable index of local files, using generative AI to understand user intent and context.

This isn't just about finding files faster. It's about intelligent retrieval that comprehends the nuanced meaning behind a search query. Users can now describe what they're seeking in natural language, and the system will dig through thousands of documents with remarkable precision.

The two-fold speed increase matters. Faster inference means quicker, more responsive interactions with local data. Imagine asking your computer a complex question and getting near-instant, contextually relevant results.

While the technology sounds promising, questions remain about its accuracy and full coverage. Still, for knowledge workers and data-intensive professionals, this could be a game-changing tool for managing information overload.

Further Reading

Common Questions Answered

How does NVIDIA's Hyperlink Agent Search technology improve local file searching?

Hyperlink uses generative AI to create a comprehensive searchable index of local files, understanding user intent and context beyond simple keyword matching. The technology can search thousands of files and retrieve relevant information much faster than traditional search methods, with LLM inference accelerated by 2x on RTX PCs.

What makes NVIDIA's new file search technology different from traditional search methods?

Unlike traditional keyword-based searches, Hyperlink leverages generative AI to comprehend the nuanced meaning and intent behind a user's query. The system can search across entire computer file collections, creating an intelligent index that understands context and returns more precise, relevant results.

How fast can NVIDIA RTX PCs now process local file searches?

NVIDIA RTX PCs can now process file searches twice as fast compared to previous methods, with LLM inference accelerated by a factor of 2. This significant speed boost transforms how users navigate and retrieve information from their personal digital archives, making file discovery nearly instantaneous.