Machine Learning and Analytics | NVIDIA Developer
NVIDIA provides a suite of machine learning and analytics software libraries to accelerate end-to-end data science pipelines entirely on GPUs. This work is enabled by over 15 years of CUDA development.
Accelerated Machine Learning Platform | NVIDIA
Increase model accuracy and directly impact the bottom line with highly optimized machine learning pipelines. Machine learning helps businesses understand their customers, build better products and services, and improve operations.
NVIDIA AI Learning Essentials
Learn how to apply generative AI, retrieval-augmented generation (RAG), and data science techniques in two hours—any time, anywhere—with self-paced courses. In this no-coding course, learn generative AI concepts and applications, as well …
GPU Accelerated Solutions for Data Science - NVIDIA
GPU-accelerated XGBoost brings game-changing performance to the world’s leading machine learning algorithm in both single node and distributed deployments. With significantly faster training speed over CPUs, data science teams can tackle larger data sets, iterate faster, and tune models to maximize prediction accuracy and business value.
Pretrained AI Models - NVIDIA Developer
NVIDIA pretrained AI models are a collection of 600+ highly accurate models built by NVIDIA researchers and engineers using representative public and proprietary datasets for domain-specific tasks. The models enable developers to build AI applications efficiently and expeditiously.
Deep Learning - NVIDIA Developer
Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection and speech recognition. Join Netflix, Fidelity, and NVIDIA to learn best practices for building, training, and deploying modern recommender systems.
Deep Learning Software - NVIDIA Developer
NVIDIA developer tools work on desktop and edge environments providing unique insight into complex CPU-GPU applications for deep learning, machine learning and HPC applications. This enables developers to build, debug, profile, and optimize performance of …
NVIDIA Launches AI Foundation Models for RTX AI PCs
Jan 7, 2025 · CES— NVIDIA today announced foundation models running locally on NVIDIA RTX™ AI PCs that supercharge digital humans, content creation, productivity and development. These models — offered as NVIDIA NIM™ microservices — are accelerated by new GeForce RTX™ 50 Series GPUs, which feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM.
Accelerated Data Analytics: Machine Learning with ... - NVIDIA …
Jul 11, 2023 · GPU-accelerated machine learning with cuDF and cuML can drastically speed up your data science pipelines. With faster data preprocessing using cuDF and the cuML scikit-learn-compatible API, it is easy to start leveraging the power of GPUs for machine learning.
NVIDIA Launches Cosmos World Foundation Model Platform to …
Jan 6, 2025 · About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.. Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA’s products, services, and technologies, including NVIDIA Cosmos, NVIDIA API catalog, NVIDIA Omniverse platform, NVIDIA AI, NVIDIA CUDA, NVIDIA NeMo Curator ...
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