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 —NVIDIA 今天推出了 NVIDIA Project DIGITS，这是一款个人 AI 超级计算机，可为全球的 AI 研究人员、数据科学家和学生提供 NVIDIA Grace Blackwell 平台的强大功能。
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 采用新的 NVIDIA GB10 Grace Blackwell 超级芯片，为原型设计、微调和运行大型 AI 模型提供 petaflop 的 AI 计算性能。
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.
借助 Project DIGITS，用户可以使用自己的桌面系统在模型上开发和运行推理，然后将模型无缝部署到加速的云或数据中心基础设施上。
“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.”
“AI 将成为每个行业每个应用程序的主流。借助 Project DIGITS，Grace Blackwell 超级芯片将惠及数百万开发者，“NVIDIA 创始人兼首席执行官黄仁勋表示。“将 AI 超级计算机放在每个数据科学家、AI 研究人员和学生的办公桌上，使他们能够参与并塑造 AI 时代。”
GB10 Superchip Provides a Petaflop of Power-Efficient AI Performance
GB10 超级芯片提供 petaflop 的低功耗 AI 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 NVIDIA Grace Blackwell 架构的系统级芯片 （SoC），可在 FP4 精度下提供高达 1 petaflop 的 AI 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 采用 NVIDIA Blackwell GPU，具有最新一代 CUDA® 核心和第五代 Tensor 核心，通过 NVLink-C2C 芯片到芯片互连连接到高性能 NVIDIA Grace™ CPU，其中包括 20 个采用 Arm 架构构建的节能核心。MediaTek 是基于 Arm 的 SoC 设计的市场领导者，合作设计了 GB10，为其提供一流的能效、性能和连接性做出了贡献。
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 仅使用标准电源插座即可提供强大的性能。每个 Project DIGITS 均配备 128GB 的统一一致性内存和高达 4TB 的 NVMe 存储。借助这台超级计算机，开发人员可以运行多达 2000 亿个参数的大型语言模型，以推动 AI 创新。此外，使用 NVIDIA ConnectX 网络，可以连接两台 Project DIGITS AI 超级计算机，以运行多达 4050 亿个参数的模型。
Grace Blackwell AI Supercomputing Within Reach
Grace Blackwell AI 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 OS 的本地 Project DIGITS 系统上对模型进行原型设计、微调和测试，然后将其无缝部署在 NVIDIA DGX Cloud™、加速云实例或数据中心基础设施上。
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.
这允许开发人员在 Project DIGITS 上对 AI 进行原型设计，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设施上进行扩展。
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 用户可以访问广泛的 NVIDIA AI 软件库进行实验和原型设计，包括 NVIDIA NGC 目录和 NVIDIA 开发者门户中提供的软件开发套件、编排工具、框架和模型。开发人员可以使用 NVIDIA NeMo™ 框架微调模型，使用 NVIDIA RAPIDS™ 库加速数据科学，并运行 PyTorch、Python 和 Jupyter Notebook 等常见框架。
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 AI 应用程序，用户还可以利用 NVIDIA 蓝图和 NVIDIA NIM™ 微服务，这些微服务可通过 NVIDIA 开发者计划进行研究、开发和测试。当 AI 应用程序准备好从实验环境迁移到生产环境时，NVIDIA AI Enterprise 许可证可提供 NVIDIA AI 软件的企业级安全性、支持和产品版本。
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.
NVIDIA 和顶级合作伙伴将于 5 月提供 Project DIGITS，起价为 3000 美元。立即注册接收通知。
