NVIDIA has introduced Project DIGITS, a personal AI supercomputer that brings the power of its Grace Blackwell platform to researchers, data scientists, and students worldwide. According to Jensen Huang, founder and CEO of NVIDIA, this move will make AI mainstream in every application for every industry. The project features the new GB10 Grace Blackwell Superchip, which offers a petaflop of AI computing performance and is capable of running large AI models with up to 200 billion parameters.
Developed in collaboration with MediaTek, a market leader in Arm-based SoC designs, the GB10 Superchip delivers powerful performance while being energy efficient. With Project DIGITS, users can develop and run inference on models using their own desktop system and then deploy them seamlessly on accelerated cloud or data center infrastructure, leveraging NVIDIA’s AI Enterprise software platform and tools like PyTorch and Jupyter notebooks.
Introduction to NVIDIA Project DIGITS
NVIDIA has unveiled a personal AI supercomputer called Project DIGITS, which is designed to provide AI researchers, data scientists, and students with access to the power of the NVIDIA Grace Blackwell platform. This project aims to make AI supercomputing more accessible and widely available, allowing developers to prototype, fine-tune, and run large AI models on their own desktop systems. The Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, which offers a petaflop of AI computing performance for running complex AI models.
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. This superchip is designed to provide powerful performance while using only a standard electrical outlet, making it suitable for use in a variety of settings. Each Project DIGITS features 128GB of unified, coherent memory and up to 4TB of NVMe storage, allowing developers to run up to 200-billion-parameter large language models.
The introduction of Project DIGITS marks an important step towards making AI supercomputing more accessible to a wider range of users. By providing a personal AI supercomputer that can be used on a desktop system, NVIDIA is empowering data scientists, AI researchers, and students to engage with and shape the age of AI. This project has the potential to accelerate innovation in the field of AI and enable new breakthroughs in areas such as natural language processing, computer vision, and robotics.
The Project DIGITS also allows developers to seamlessly deploy models on accelerated cloud or data center infrastructure, using the same Grace Blackwell architecture and the NVIDIA AI Enterprise software platform. This enables users to prototype AI on Project DIGITS and then scale on cloud or data center infrastructure, making it easier to develop and deploy complex AI models.
Technical Details of the GB10 Superchip
The GB10 Superchip is a key component of the Project DIGITS personal AI supercomputer, providing up to 1 petaflop of AI performance at FP4 precision. This superchip is based on the NVIDIA Grace Blackwell architecture and features an NVIDIA Blackwell GPU with latest-generation CUDA cores and fifth-generation Tensor Cores. The GB10 Superchip also includes a high-performance NVIDIA Grace CPU, which has 20 power-efficient cores built with the Arm architecture.
The design of the GB10 Superchip was collaborated on by MediaTek, a market leader in Arm-based SoC designs, contributing to its best-in-class power efficiency, performance, and connectivity. The superchip is connected via NVLink-C2C chip-to-chip interconnect, allowing for high-speed data transfer between the GPU and CPU. This enables the GB10 Superchip to deliver powerful performance while using only a standard electrical outlet.
The technical specifications of the GB10 Superchip make it an attractive option for developers who need to run complex AI models. With 128GB of unified, coherent memory and up to 4TB of NVMe storage, the Project DIGITS can handle large datasets and complex models with ease. Additionally, the superchip’s ability to run up to 200-billion-parameter large language models makes it an ideal choice for applications such as natural language processing and computer vision.
The GB10 Superchip also supports NVIDIA ConnectX networking, which allows two Project DIGITS AI supercomputers to be linked together to run up to 405-billion-parameter models. This enables developers to scale their AI models to meet the needs of complex applications, making it easier to develop and deploy AI-powered solutions.
Applications and Use Cases for Project DIGITS
The Project DIGITS personal AI supercomputer has a wide range of potential applications and use cases, from natural language processing and computer vision to robotics and autonomous systems. The ability to run complex AI models on a desktop system makes it an ideal choice for developers who need to prototype and test AI-powered solutions.
One potential application of Project DIGITS is in the field of natural language processing, where developers can use the GB10 Superchip to run large language models and develop AI-powered chatbots and virtual assistants. The superchip’s ability to handle complex datasets and models makes it an ideal choice for applications such as sentiment analysis and text classification.
Another potential application of Project DIGITS is in the field of computer vision, where developers can use the GB10 Superchip to run complex computer vision models and develop AI-powered solutions for image recognition and object detection. The superchip’s ability to handle large datasets and models makes it an ideal choice for applications such as self-driving cars and robotics.
The Project DIGITS also has potential applications in the field of robotics, where developers can use the GB10 Superchip to run complex AI models and develop AI-powered solutions for robot control and navigation. The superchip’s ability to handle real-time data and make decisions quickly makes it an ideal choice for applications such as autonomous robots and drones.
Availability and Pricing
The Project DIGITS personal AI supercomputer will be available in May from NVIDIA and top partners, starting at $3,000. This makes it an attractive option for developers who need to prototype and test AI-powered solutions, but may not have the budget for a large-scale AI supercomputer.
The availability of Project DIGITS also marks an important step towards making AI supercomputing more accessible to a wider range of users. By providing a personal AI supercomputer that can be used on a desktop system, NVIDIA is empowering data scientists, AI researchers, and students to engage with and shape the age of AI.
Developers who are interested in purchasing Project DIGITS can sign up for notifications today, and will be notified when the product becomes available. The NVIDIA website also provides more information about the technical specifications and applications of Project DIGITS, as well as a range of resources and support for developers who are getting started with AI supercomputing.
Conclusion
The introduction of Project DIGITS marks an important step towards making AI supercomputing more accessible to a wider range of users. By providing a personal AI supercomputer that can be used on a desktop system, NVIDIA is empowering data scientists, AI researchers, and students to engage with and shape the age of AI. The GB10 Superchip provides up to 1 petaflop of AI performance at FP4 precision, making it an ideal choice for applications such as natural language processing, computer vision, and robotics.
The Project DIGITS has a wide range of potential applications and use cases, from prototyping and testing AI-powered solutions to developing and deploying complex AI models. The availability of Project DIGITS in May, starting at $3,000, makes it an attractive option for developers who need to get started with AI supercomputing.
Overall, the Project DIGITS personal AI supercomputer has the potential to accelerate innovation in the field of AI and enable new breakthroughs in areas such as natural language processing, computer vision, and robotics. By providing a powerful and accessible platform for AI development, NVIDIA is helping to shape the future of AI and empower a new generation of developers and researchers.
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