NVIDIA DGX solutions represent the cutting edge in computing power for Artificial Intelligence and Machine Learning: these systems offer unmatched performance, making them ideal for companies that require complex and fast processing.
The NVIDIA DGX platform integrates AI software and specially designed hardware into a complete solution for Artificial Intelligence development.
NVIDIA Base Command™ is the software engine of the DGX platform, enabling advanced management and optimizations at the full stack level.
The DGX platform also includes the NVIDIA AI Enterprise software suite, a comprehensive library of fully supported and optimized software that enhances developer productivity.
DGX systems are built from the ground up for enterprise AI, offering industry-leading performance, reliability, and scalability. Here are some of the main technical features:
- NVIDIA Blackwell GPU architecture: the latest and most advanced GPU technology.
- GPU memory: up to 1.4TB of memory per server.
- NVLink: high-speed GPU interconnect to maximize throughput.
- Computing capacity: up to 72 petaflops of AI computing power.
- Container and orchestration support: compatibility with NGC (NVIDIA GPU Cloud) to simplify the deployment of AI and ML applications.
The advantages of NVIDIA DGX solutions:
EXCEPTIONAL PERFORMANCE: reduce AI model training times with superior computing power.
SCALABILITY: easily expand your infrastructure to accommodate growing workloads.
OPERATIONAL EFFICIENCY: optimize energy consumption with advanced architecture.
NVIDIA DGX: the world's leading solutions for large-scale Artificial Intelligence infrastructure.
NVIDIA DGX B200
The unified platform for Artificial Intelligence that enables businesses of any size to develop and deploy AI pipelines. Featuring eight NVIDIA Blackwell GPUs interconnected with the fifth generation NVIDIA® NVLink®, the DGX B200 delivers cutting-edge performance, with training capabilities three times faster and inference performance fifteen times faster than previous generations. Leveraging the NVIDIA Blackwell GPU architecture, the DGX B200 handles diverse workloads including large language models, recommendation systems, and chatbots, making it ideal for enterprises looking to accelerate their AI transformation.
NVIDIA DGX H100
The universal system specially designed for all Artificial Intelligence infrastructures and workloads, from analytics to training to inference. The system is based on eight NVIDIA H100 Tensor Core GPUs. DGX H100 is a highly optimized hardware and software platform designed to support a wide range of NVIDIA AI software solutions. It offers a robust ecosystem with third-party integration and expert consulting services provided by NVIDIA professionals. Known for its exceptional reliability, DGX H100 is employed by thousands of customers globally across various industries.
NVIDIA DGX BasePOD
NVIDIA DGX BasePOD is the ideal solution for businesses seeking a scalable and easy-to-deploy AI platform. This infrastructure combines the power of NVIDIA GPUs with an optimized architectural design to deliver high performance, flexibility, and simplified management of AI workloads. With DGX BasePOD, businesses can quickly expand their computational capabilities, benefiting from a reliable platform that is prepared for the future of Artificial Intelligence.
NVIDIA DGX SuperPOD
NVIDIA DGX SuperPOD represents the pinnacle of industrial-scale AI performance, designed for organizations requiring massive computing power and extremely fast processing capability. By integrating tens of DGX A100 systems, SuperPOD provides a comprehensive AI infrastructure with unprecedented performance, ultra-fast networking, and efficient data management. Ideal for tackling the most complex challenges in AI and Deep Learning, DGX SuperPOD is the ultimate solution for turning innovation into reality.
NVIDIA DGX: a success story
One of the most significant examples of the potential of NVIDIA DGX is the project implemented for the DIAG at Sapienza University of Rome. By utilizing the NVIDIA DGX A100 system, DIAG has been able to enhance computing capabilities for AI applications, significantly improving performance and reducing processing times.
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