CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform.
CES--英伟达™（NVIDIA®）于今日发布了个人人工智能超级计算机 NVIDIA Project DIGITS，为全球的人工智能研究人员、数据科学家和学生提供了使用英伟达™（NVIDIA®）Grace Blackwell 平台强大功能的机会。
Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance for prototyping, fine-tuning and running large AI models.
Project DIGITS 采用了全新的英伟达 GB10 Grace Blackwell 超级芯片，可提供 petaflop 的人工智能计算性能，用于原型开发、微调和运行大型人工智能模型。
With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure.
通过 Project DIGITS，用户可以使用自己的桌面系统开发和运行模型推理，然后在加速云或数据中心基础设施上无缝部署模型。
“AI will be mainstream in every application for every industry. With Project DIGITS, the Grace Blackwell Superchip comes to millions of developers,” said Jensen Huang, founder and CEO of NVIDIA. “Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI.”
"人工智能将成为各行各业各种应用的主流。英伟达™（NVIDIA®）公司创始人兼首席执行官黄仁勋（Jensen Huang）表示："通过DIGITS项目，格雷斯-布莱克韦尔超级芯片将与数百万开发人员见面。"将人工智能超级计算机放在每一位数据科学家、人工智能研究人员和学生的办公桌上，让他们有能力参与和塑造人工智能时代。"
GB10 Superchip Provides a Petaflop of Power-Efficient AI Performance
GB10 超级芯片可提供 Petaflop 的高能效人工智能性能
The GB10 Superchip is a system-on-a-chip (SoC) based on the NVIDIA Grace Blackwell architecture and delivers up to 1 petaflop of AI performance at FP4 precision.
GB10 超级芯片是基于英伟达™（NVIDIA®）格雷斯-布莱克韦尔（Grace Blackwell）架构的片上系统（SoC），可在 FP4 精度下提供高达 1 petaflop 的人工智能性能。
GB10 features an NVIDIA Blackwell GPU with latest-generation CUDA® cores and fifth-generation Tensor Cores, connected via NVLink®-C2C chip-to-chip interconnect to a high-performance NVIDIA Grace™ CPU, which includes 20 power-efficient cores built with the Arm architecture. MediaTek, a market leader in Arm-based SoC designs, collaborated on the design of GB10, contributing to its best-in-class power efficiency, performance and connectivity.
GB10 配备了 NVIDIA Blackwell GPU，具有最新一代 CUDA® 内核和第五代 Tensor Cores，通过 NVLink-C2C 芯片到芯片互连与高性能 NVIDIA Grace™ CPU 相连，其中包括采用 Arm 架构构建的 20 个高能效内核。联发科技是基于 Arm 架构的 SoC 设计领域的市场领导者，与联发科技合作设计了 GB10，为其提供了同类最佳的能效、性能和连接性。
The GB10 Superchip enables Project DIGITS to deliver powerful performance using only a standard electrical outlet. Each Project DIGITS features 128GB of unified, coherent memory and up to 4TB of NVMe storage. With the supercomputer, developers can run up to 200-billion-parameter large language models to supercharge AI innovation. In addition, using NVIDIA ConnectX® networking, two Project DIGITS AI supercomputers can be linked to run up to 405-billion-parameter models.
GB10 超级芯片使 Project DIGITS 只需使用标准电源插座即可提供强大的性能。每台 Project DIGITS 都配备 128GB 统一相干内存和高达 4TB 的 NVMe 存储。借助超级计算机，开发人员可以运行多达2000亿参数的大型语言模型，为人工智能创新提供超级动力。此外，利用英伟达™（NVIDIA®）ConnectX 网络，两台 Project DIGITS AI 超级计算机可以连接起来，运行多达 4050 亿参数的模型。
Grace Blackwell AI Supercomputing Within Reach
格蕾丝-布莱克韦尔人工智能超级计算触手可及
With the Grace Blackwell architecture, enterprises and researchers can prototype, fine-tune and test models on local Project DIGITS systems running Linux-based NVIDIA DGX OS, and then deploy them seamlessly on NVIDIA DGX Cloud™, accelerated cloud instances or data center infrastructure.
借助 Grace Blackwell 架构，企业和研究人员可以在运行基于 Linux 的 NVIDIA DGX 操作系统的本地 Project DIGITS 系统上对模型进行原型设计、微调和测试，然后将其无缝部署到 NVIDIA DGX Cloud™、加速云实例或数据中心基础架构上。
This allows developers to prototype AI on Project DIGITS and then scale on cloud or data center infrastructure, using the same Grace Blackwell architecture and the NVIDIA AI Enterprise software platform.
这样，开发人员就可以在 Project DIGITS 上建立人工智能原型，然后使用相同的 Grace Blackwell 架构和 NVIDIA AI Enterprise 软件平台在云或数据中心基础架构上进行扩展。
Project DIGITS users can access an extensive library of NVIDIA AI software for experimentation and prototyping, including software development kits, orchestration tools, frameworks and models available in the NVIDIA NGC catalog and on the NVIDIA Developer portal. Developers can fine-tune models with the NVIDIA NeMo™ framework, accelerate data science with NVIDIA RAPIDS™ libraries and run common frameworks such as PyTorch, Python and Jupyter notebooks.
Project DIGITS 用户可以访问用于实验和原型开发的大量 NVIDIA AI 软件库，包括 NVIDIA NGC 目录和 NVIDIA Developer 门户上提供的软件开发工具包、协调工具、框架和模型。开发人员可以利用 NVIDIA NeMo™ 框架对模型进行微调，利用 NVIDIA RAPIDS™ 库加速数据科学，并运行 PyTorch、Python 和 Jupyter 笔记本等通用框架。
To build agentic AI applications, users can also harness NVIDIA Blueprints and NVIDIA NIM™ microservices, which are available for research, development and testing via the NVIDIA Developer Program. When AI applications are ready to move from experimentation to production environments, the NVIDIA AI Enterprise license provides enterprise-grade security, support and product releases of NVIDIA AI software.
要构建代理型人工智能应用，用户还可以利用NVIDIA Blueprints和NVIDIA NIM™微服务，这些服务可通过英伟达™（NVIDIA®）开发者计划用于研究、开发和测试。当人工智能应用准备从实验环境转向生产环境时，英伟达™（NVIDIA®）人工智能企业许可证可为英伟达™（NVIDIA®）人工智能软件提供企业级安全性、支持和产品发布。
Availability 可用性
Project DIGITS will be available in May from NVIDIA and top partners, starting at $3,000. Sign up for notifications today.
Project DIGITS 将于 5 月由 NVIDIA 和顶级合作伙伴提供，起价 3000 美元。立即注册以获取通知。
