Organizations leading the future with endless challenges and changes, organizations delivering fast and convenient
The key element of AI infrastructure, a global leader in AI computing.
Providing customized computing power for various AI demands, ranging from small-scale GPUs for AI research and development to the realm of hyperscale data centers
Deliver unprecedented performance and scalability for any workload.
The combination of multiple technological innovations provides more advanced computing resources than previous generations.
Flexible scaling and workload acceleration from small clusters to AI data centers
Integrated DGX software stack, including an AI-tuned base operating system, all necessary system software, GPU-accelerated applications, pre-trained models, and more
The most powerful security features for AI deployment through a multi-layered approach including baseboard management controller (BMC), CPU board, GPU board, self-encrypting drive, and secure boot.
18x NVIDIA® NVLink® connections per GPU, 900GB/s bi-directional GPU-GPU bandwidth
7.2TB/s bi-directional GPU-GPU bandwidth, 1.5x more than previous generation
Maximum two-way network bandwidth
Powerful CPU for the most intensive AI tasks
High-speed storage for maximum performance
By proactively optimizing and integrating compute, network, fabric, storage, and software,
we realize the most ideal stages of data center design, construction, and operation in an AI/HPC environment.
17 of the world's most powerful supercomputers in the TOP500 and Green500 are built on the NVIDIA DGX platform. These companies used DGX to scale their large-scale supercomputing infrastructure in just a few weeks.
NVIDIA DGX systems continue to set AI performance records in MLPerf, a set of benchmarks that measure machine learning training performance across a variety of use cases.
Organizations have used NVIDIA DGX SuperPOD™ to build the world's largest and most powerful AI supercomputers. This includes TOP500 and Green500 supercomputers that NVIDIA uses for its own research.
Utilizes GPU-based parallel processing to execute large-scale application programs more efficiently, reliably, and quickly.
National supercomputer center, research institute, corporate IDC
National medical institutions / universities and large hospitals
Portal game company & cloud service company
3 Telco companies and large shopping / media
National government agencies and public institutions
electronics & manufacturing companies and automobile companies
Domestic / overseas major banks and insurance / securities companies
Major domestic electric power and oil refining institutions