Target-Speaker Methods for Speech Recognition - Overlapping Speech Solutions
Explore advanced techniques for multi-talker ASR, including GPU-accelerated processing, wake-word leveraging, and self-supervised models to improve speech recognition in challenging environments.
Heterogeneous Accelerator Toolkit (HAT) Update - Project Babylon and GPU Acceleration in Java
Explore updates on Java's Heterogeneous Accelerator Toolkit (HAT) project, focusing on GPU acceleration, programming models, and integration with Babylon and Panama FFM. Includes demos and future plans.
LLMs on Polaris - Tutorial 5
Explore large language model deployment on Polaris supercomputer, focusing on efficient scaling and performance optimization techniques.
Quantum Computing with the NVIDIA Platform
Explore quantum computing advancements using NVIDIA's platform, featuring insights from industry experts on cutting-edge developments and practical applications.
LLMs Anywhere - Browser Deployment with Wasm and WebGPU
Explore deploying ML models in browsers using Wasm and WebGPU. Learn to optimize performance, reduce cloud dependency, and enhance accessibility for efficient browser-based machine learning.
LLMs Anywhere - Browser Deployment with Wasm and WebGPU
Explore deploying ML models in browsers using Wasm and WebGPU, reducing cloud dependency and enabling offline access. Learn practical examples for efficient cross-platform execution and optimized computation.
Hacking Import for Speed: Writing a GPU Accelerator for Pandas
Explore Python's import system hacking to accelerate pandas on GPU using cuDF. Learn Pythonic proxy patterns and dynamic features to boost performance without code changes.
Spark RAPIDS ML - GPU Accelerated Distributed Machine Learning in Spark Clusters
GPU-accelerated machine learning in Spark using RAPIDS ML, offering significant speedup and cost savings over traditional MLlib implementations for large-scale distributed ML applications.
Hacking Import for Speed: Writing a GPU Accelerator for Pandas
Explore Python's import system hacking to accelerate pandas on GPU using cuDF. Learn Pythonic proxy patterns and dynamic features to boost performance without code changes.
Deploying Deep Learning Models for Inference at Production Scale
Optimize and deploy AI models at scale using NVIDIA TensorRT and Triton Inference Server. Learn production-ready techniques for efficient inference across various platforms and infrastructures.
GPU Accelerated Computing and Optimizations on Cross-Vendor Graphics Cards with Vulkan and Kompute
Explore GPU acceleration and optimizations for cross-vendor graphics cards using Vulkan & Kompute. Learn to implement GPU-accelerated machine learning algorithms and leverage hardware capabilities for performance improvements.
PyTorch Tutorial for Deep Learning
Explore PyTorch for deep learning: implement neural networks, leverage GPU acceleration, and train convolutional models for digit recognition using efficient coding practices.
Understanding the Open RAN Value Chain with NVIDIA Aerial Technology
Explore NVIDIA Aerial's role in Open RAN architecture, focusing on GPU acceleration, network optimization, and integration with 5G radio access networks for enhanced performance and scalability.
Accelerating the Next Generation of Multimedia with GPUs
Discover how to build high-performance live streaming services using the Babit Multimedia Framework (BMF), leveraging GPU acceleration and multi-language support for advanced video processing and broadcasting.
OpenFabrics Alliance Sunfish: Managing Composable Computing and Storage Resources
Discover how Sunfish framework manages composable computing systems, focusing on CXL memory, GPU accelerators, and fabric-attached storage integration with SNIA Swordfish for efficient resource provisioning.
Flora: Creating Realistic 3D Plants with Houdini - GPU-Accelerated Plant Modeling
Discover how Flora, a new Houdini-based toolset, revolutionizes 3D plant creation by combining generative systems with intuitive controls, GPU acceleration, and seamless Unreal Engine integration.