2023年12月4日 · Over time, NVIDIA’s engineers have tuned GPU cores to the evolving needs of AI models. The latest GPUs include Tensor Cores that are 60x more powerful than the first-generation designs for processing the matrix math neural networks use.

From running your own chatbot on your PC to training custom models and integrating AI into games, developing and running AI apps is easier and faster with NVIDIA tools and RTX GPUs. Plus, your data stays on your PC—no uploads required.

2016年1月12日 · Here’s what I talked about — how deep learning is a new software model that needs a new computing model; why AI researchers have adopted GPU-accelerated computing; and NVIDIA’s ongoing efforts to advance AI as we enter into its exponential adoption.

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.

CUDA-X AI libraries accelerate deep learning training in every framework with high-performance optimizations delivering world leading performance on GPUs across applications such as conversational AI, natural language understanding, recommenders, and computer vision.

pc 上で独自のチャットボットを実行する、カスタム モデルをトレーニングする、ai をゲームに統合する、ai アプリを開発および実行するといった作業が、nvidia ツールと rtx gpu で簡単かつ高速になります。

Upgrade to advanced AI with NVIDIA GeForce RTX™ GPUs and accelerate your gaming, creating, productivity, and development.

NVIDIA Riva is a GPU-accelerated speech AI SDK for building and deploying fully customizable, real-time AI pipelines that deliver world-class accuracy in all clouds, on premises, at the edge, and on embedded devices.

Transform any enterprise into an AI organization with full stack innovation across accelerated infrastructure, enterprise-grade software, and AI models. NVIDIA offers a robust suite of AI solutions tailored for enterprises across various industries.

NVIDIA GPU Cloud (NGC) では、TensorFlow、PyTorch、MXNet など、ニューラル ネットワーク モデルの開発とトレーニングに使用される人気のディープラーニング フレームワークをご利用いただけます。必須のライブラリとドライバーもすべて付属しています。