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Introduction to ggml

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Elevating Video Communication with the NVIDIA Maxine AI Developer Platform and VideoRequest

Image showing side by side comparison of person on webcam. Left side has the input with the user gazing off screen, the right side has the user’s background replaced with a scene of mountains and the user’s eyes are focused on the camera.Effective video communication is important for everyone who communicates online. For businesses, educators, and content creators, it is vital. NVIDIA Maxine is…Image showing side by side comparison of person on webcam. Left side has the input with the user gazing off screen, the right side has the user’s background replaced with a scene of mountains and the user’s eyes are focused on the camera.

Effective video communication is important for everyone who communicates online. For businesses, educators, and content creators, it is vital. NVIDIA Maxine is a suite of NVIDIA-accelerated SDKs, cloud-native containerized NVIDIA NIM microservices for deploying AI features that enhance real-time audio and video for video conferencing, digital humans, virtual presence, and content creation.

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Interactive AI Tool Delivers Immersive Video Content to Blind and Low-Vision Viewers

A GIF of a person using SPICA.New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore…A GIF of a person using SPICA.

New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps in conventional audio descriptions (AD), offering an enriched and immersive video viewing experience. “Although videos have become an…

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NVIDIA NVLink and NVIDIA NVSwitch Supercharge Large Language Model Inference

Decorative image of linked modules.Large language models (LLM) are getting larger, increasing the amount of compute required to process inference requests. To meet real-time latency requirements…Decorative image of linked modules.

Large language models (LLM) are getting larger, increasing the amount of compute required to process inference requests. To meet real-time latency requirements for serving today’s LLMs and do so for as many users as possible, multi-GPU compute is a must. Low latency improves the user experience. High throughput reduces the cost of service. Both are simultaneously important. Even if a large…

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Welcome FalconMamba: The first strong attention-free 7B model

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Tool Use, Unified

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RAPIDS cuDF Unified Memory Accelerates pandas up to 30x on Large Datasets

NVIDIA has released RAPIDS cuDF unified memory and text data processing features that help data scientists continue to use pandas when working with larger and…

NVIDIA has released RAPIDS cuDF unified memory and text data processing features that help data scientists continue to use pandas when working with larger and text-heavy datasets in demanding workloads. Data scientists can now accelerate these workloads by up to 30x. RAPIDS is a collection of open-source GPU-accelerated data science and AI libraries. cuDF is a Python GPU DataFrame library for…

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Golden Opportunities: California to Train Students, Educators in AI

The State of California today announced a first-of-its-kind AI education initiative with NVIDIA. The public-private collaboration supports the state’s goals in workforce training and economic development by giving universities, community colleges and adult education programs in California the resources to gain skills in generative AI. “AI will continue to become more advanced and more prominent
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Performant Quantum Programming Even Easier with NVIDIA CUDA-Q v0.8

Image of a quantum circuit diagram.NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of…Image of a quantum circuit diagram.

NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of CPU, GPU, and QPU compute abilities. Developing these applications today is challenging and requires a flexible, easy-to-use coding environment coupled with powerful quantum simulation capabilities to efficiently evaluate and improve the…

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Improving GPU Performance by Reducing Instruction Cache Misses

Decorative image of light fields in green, purple, and blue.GPUs are specially designed to crunch through massive amounts of data at high speed. They have a large amount of compute resources, called streaming…Decorative image of light fields in green, purple, and blue.

GPUs are specially designed to crunch through massive amounts of data at high speed. They have a large amount of compute resources, called streaming multiprocessors (SMs), and an array of facilities to keep them fed with data: high bandwidth to memory, sizable data caches, and the capability to switch to other teams of workers (warps) without any overhead if an active team has run out of data.

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