Discover the innovators, thought leaders, and decision makers who are shaping the modern data center with the power of AI, high-performance computing, virtualization, data science, and more.
从 AI 和数据分析，到高性能计算 (HPC)，再到渲染，数据中心都是攻克某些重要挑战的关键。端到端的 NVIDIA 加速计算平台对硬件和软件进行了集成，可为企业构建出强大而安全的基础架构蓝图，支持在所有现代化工作负载中实施开发到部署的操作。
The NVIDIA Unified Platform
Reimagine the data center for the age of AI with the NVIDIA accelerated computing platform built on three next-generation architectures for the GPU, DPU, and CPU. With leading-edge technologies that span performance, security, networking, and more, these architectures are ready to take on every challenge of the modern data center.
Architectures for the Modern Data Center
Hopper GPU Architecture
The NVIDIA Hopper™ architecture is powering the next generation of accelerated computing with unprecedented performance, scalability, and security for every data center. With the ability to securely scale diverse workloads—from small enterprise to exascale HPC and trillion-parameter AI—Hopper enables brilliant innovators to fulfill their life's work at the fastest pace in human history.
Grace CPU Architecture
The NVIDIA Grace™ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence. These data centers run a variety of workloads, from AI training and inference, to high-performance computing (HPC), to data analytics, Digital Twins, Cloud Graphics and Gaming and thousands of hyperscale cloud applications.
BlueField DPU Architecture
The NVIDIA® BlueField® data processing unit (DPU ignites unprecedented innovation for data centers and supercomputing infrastructures. By offloading, accelerating, and isolating a broad range of advanced networking, storage, and security services, BlueField DPUs provide a secure and accelerated infrastructure for any workload, in any environment, from cloud to data center to edge.
开发到部署
From the Cloud…
With cloud-based GPU solutions, enterprises can access high-density computing resources and powerful virtual workstations at any time, from anywhere, with no need to build a physical data center.
到办公室……
无论是通过虚拟桌面、应用、工作站，还是云端的优化容器，数据科学家、研究人员和开发者都可以在自己的办公桌上为经 GPU 加速的 AI 和数据分析提供支持。
到数据中心……
GPU 加速的数据中心可凭借更少的服务器，为各种规模的计算和图形工作负载提供出色性能，从而让您能更快地获取见解并大幅降低成本。这类数据中心不仅可以存储、处理和分析敏感数据，还能维护操作的安全性。
到边缘端
边缘 AI 需要一个可扩展的加速平台，该平台能够实时推动决策，并让各个行业都能在行动层面（商店、制造工厂、医院和智慧城市）实现自动化智能。
借助 NVIDIA LaunchPad 快速开启您的 AI 之旅
从搭载 Triton 推理服务器的 AI 赋能聊天机器人，到使用 TensorFlow 进行图像分类，您可以通过各种免费的精选实验，即刻使用 NVIDIA AI 技术。
适用于各类工作负载
- Analytics
- Training
- Inference
- High-Performance Computing
- Rendering
- Virtualization
Data Analytics
Every day, businesses are generating and collecting unprecedented amounts of data, and this massive amount of information represents a missed opportunity for those not using GPU-accelerated analytics. The more data you have, the more you can learn. With the NVIDIA data center platform, businesses can derive actionable insights from their data faster than ever before.
AI Training
Deep learning datasets are becoming larger and more complex, with workloads like conversational AI, recommender systems, and computer vision becoming increasingly prevalent across industries. The NVIDIA data center platform, including hardware and software, significantly accelerates AI training, resulting in highly productive data science teams, significant cost savings, and faster time to ROI.
AI Inference
Accelerating inference workloads in the data center requires an agile, elastic infrastructure that can scale out and utilize every bit of compute resources available. With new technologies like Multi-Instance GPU (MIG), NVIDIA solutions are uniquely positioned to accelerate inference workloads like image recognition, recommender systems and natural language processing, providing the highest throughput and real-time responsiveness needed to bring AI to applications..
高性能计算
HPC 是推动数据中心中相关科学发展的重要工具之一。NVIDIA GPU 是现代 HPC 数据中心的引擎，已在多个领域中累计优化超过 700 个应用。NVIDIA 数据中心平台利用更少的服务器提供突破性性能，从而更快地获得见解并大幅降低成本，为科学发现铺平了道路。
渲染
各行各业的设计师和艺术家均需以远超以往的速度制作更优质的内容，但有碍于基于 CPU 的低效渲染解决方案，其工作效率屡屡受限。而 NVIDIA RTX™ 服务器突破了昂贵 CPU 渲染场的局限，其拥有高度灵活的参考设计，可与 NVIDIA 软件和领先的第三方软件共同配置使用，进而可加速超复杂的渲染工作负载。
虚拟化
NVIDIA 虚拟 GPU 解决方案可为现代化虚拟数据中心提供支持，并可通过 NVIDIA 虚拟 GPU (vGPU) 软件提供具有丰富图形的可扩展虚拟桌面和工作站。这些解决方案不仅能够在虚拟机上运行计算密集型的服务器工作负载（包括 AI、深度学习、数据科学和 HPC），还可充分发挥经提升的可管理性和安全性所带来的优势。
资源
Get Started in AI with the Deep Learning Institute
Designed for enterprise IT professionals, this online, self-paced course from the NVIDIA Deep Learning Institute (DLI) explores AI, GPU computing, NVIDIA AI software architecture, and how to implement and scale AI workloads in the data center.
Implementing AI Solutions for Every Industry
Learn how different industries have integrated powerful AI platforms into their existing workflows to solve business challenges and improve their return on investment in this ebook.
各行业的 AI 实施解决方案
通过这本电子书，您将了解不同行业如何通过将强大的 AI 平台集成到现有工作流程中，进而攻克所面临的业务挑战并提高投资回报率。
加速工作负载
立即试用超快速的 GPU 加速器
或 NVIDIA DGX 系统。
购买渠道
通过我们的 NVIDIA 合作伙伴网络 (NPN) 找到 NVIDIA 加速计算合作伙伴。
解决方案
Hopper GPU 架构
NVIDIA Hopper™ 架构凭借出色的性能、可扩展性和安全性，为各数据中心的新一代加速计算提供助力。从小型企业到百亿亿次级高性能计算 (HPC) 和万亿参数的 AI，Hopper 可安全扩展各种工作负载，让出色的创新者能够以更快的速度完成其毕生工作。
Grace CPU 架构
NVIDIA Grace™ 架构专为新兴的数据中心类型，即 AI 工厂而设计，AI 工厂处理和提炼大量数据以产生智能。这些数据中心可运行各种工作负载，包括 AI 训练和推理、高性能计算 (HPC)、数据分析、数据孪生、云图形和游戏，以及数千款云应用。