NVIDIA AI Enterprise Administrator - Private Contact us for pricing. 12 hours Self-Paced Course NVIDIA RAPIDS™ Accelerator for Apache Spark $30 2 hours Instructor-Led Workshop NVIDIA DGX™ H100/A100 Administration - Private Contact us for pricing. ...
通过本课程,你将深入了解Generative AI的实际应用和潜在价值,为你的职业生涯和个人兴趣领域提供无限的机会。无论你是科技爱好者、艺术家、企业家还是学生,Generative AI都将成为你的未来之路。 点击课程链接:https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/?ncid=so-face-240734&fbclid=IwAR2-...
Check out NVIDIA's generative AI solutions, including enterprise-grade tools, infrastructure, and a full-stack platform to accelerate AI workflows.
東京科学大学と産業技術総合研究所が、Llama 3.1 をベースに、日本特有の言語的/文化的ニーズによりよく応えるように設計された独自のソブリン AI モデル「Llama 3.1 Swallow」を共同開発しました。 2 MIN READ 2024 年 10 月 1 日 NVIDIA ACE と Unreal Engine 5 で、AI 駆動の MetaHuman の展開...
NVIDIA offers developers an accelerated computing platform with tools, frameworks, applications, and ecosystem for generative AI workloads.
To see the financial effect of the generative AI rush, you need only to look atNvidia'sbottom line. The chipmaker's graphics processing units, or GPUs, are at the heart of the large language models created by OpenAI as well as those fromAlphabet,Metaand a growing crop of heavily fund...
To accelerate enterprise adoption of generative AI, NVIDIA today announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data
NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade.The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists ...
模型将可供本地使用,甚至有一个漂亮的基于Web的用户界面可供聊天机器人和图像生成器使用。 Jetson Generative AI Playground可以在GitHub上找到:https://nvidia-ai-iot.github.io/jetson-generative-ai-playground/index.html(或者点击阅读原文)。探索未来,玩转AI生成式模型,现在开始吧!
Afterward, runexport NVIDIA_API_KEY=nvapi-... Clone the repository and then build and run the basic RAG pipeline: git clone https://github.com/nvidia/GenerativeAIExamples.gitcd GenerativeAIExamples/RAG/examples/basic_rag/langchain/docker compose up -d --build Open...