NVIDIA Eos: A Top 10 Supercomputer Powering AI Innovation with 18.4 Exaflops

Nvidia Eos: A Top 10 Supercomputer Powering Ai Innovation With 18.4 Exaflops

NVIDIA has unveiled Eos, a top 10 supercomputer designed to power AI innovation. Eos is built with 576 NVIDIA DGX H100 systems and Quantum-2 InfiniBand networking, providing 18.4 exaflops of AI performance. It can handle large AI workloads for tasks like training language models and quantum simulations. Eos is ranked No. 9 in the TOP500 list of the world’s fastest supercomputers. Its architecture supports data transfer speeds of up to 400Gb/s, making it ideal for training complex AI models. The system is a significant resource for enterprises and developers seeking to scale their AI capabilities.

NVIDIA’s Eos Supercomputer: A Glimpse into Advanced AI Infrastructure

NVIDIA, a prominent player in the field of artificial intelligence (AI), recently unveiled Eos, its latest data-center-scale supercomputer. This unveiling provides a rare insight into the architecture that powers sophisticated AI factories. Eos, an NVIDIA DGX SuperPOD, serves as the platform where NVIDIA developers create their AI innovations using accelerated computing infrastructure and fully optimized software.

Eos: A Powerhouse of AI Performance

Eos is constructed with 576 NVIDIA DGX H100 systems, NVIDIA Quantum-2 InfiniBand networking, and software, collectively delivering a total of 18.4 exaflops of FP8 AI performance. This system is a counterpart to another Eos DGX SuperPOD equipped with 10,752 NVIDIA H100 GPUs, which was used for MLPerf training in November. The supercomputer, named after the Greek goddess who is said to open the gates of dawn each day, is a testament to NVIDIA’s dedication to advancing AI technology.

Fueling Innovation with Eos Supercomputer

Each DGX H100 system in Eos is equipped with eight NVIDIA H100 Tensor Core GPUs, resulting in a total of 4,608 H100 GPUs. Consequently, Eos can manage the most substantial AI workloads, including training large language models, recommender systems, quantum simulations, and more. Eos is a demonstration of the capabilities of NVIDIA’s technologies when operating at scale. It is a timely addition to the AI landscape, as people are increasingly using generative AI to revolutionize various fields, from drug discovery to autonomous machines.

Eos: A Top-Ranked Supercomputer for AI Development

Eos is not just a supercomputer; it is an AI factory. It is a purpose-built AI engine that is always available and can help increase the capacity to build AI models at scale. Ranked No. 9 in the TOP500 list of the world’s fastest supercomputers, Eos pushes the boundaries of AI technology and infrastructure. It incorporates NVIDIA’s advanced accelerated computing and networking, along with sophisticated software offerings such as NVIDIA Base Command and NVIDIA AI Enterprise.

Eos: An Optimized Architecture for AI Workloads

Eos’s architecture is specifically optimized for AI workloads that require ultra-low-latency and high-throughput interconnectivity across a large cluster of accelerated computing nodes. This makes it an ideal solution for enterprises looking to scale their AI capabilities. Its network architecture, based on NVIDIA Quantum-2 InfiniBand with In-Network Computing technology, supports data transfer speeds of up to 400Gb/s, facilitating the rapid movement of large datasets essential for training complex AI models. At the heart of Eos lies the groundbreaking DGX SuperPOD architecture powered by NVIDIA’s DGX H100 systems. This architecture is designed to provide the AI and computing fields with tightly integrated full-stack systems capable of computing at an enormous scale. As enterprises and developers worldwide seek to harness the power of AI, Eos stands as a pivotal resource, promising to accelerate the journey towards AI-infused applications that fuel every organization.

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