Dell, HPE, and Lenovo to Offer NVIDIA’s AI-Ready Ethernet Networking Platform

NVIDIA has announced a collaboration with Dell Technologies, Hewlett Packard Enterprise, and Lenovo to integrate Spectrum-X Ethernet networking technologies for AI into their server lineups, providing enterprises with the necessary tools to transform their businesses with generative AI.

NVIDIA Spectrum-X Ethernet networking technologies for AI offer 1.6 times higher networking performance for AI communication compared to traditional Ethernet products.
NVIDIA AI Enterprise software and NVIDIA AI Workbench software provide enterprises with the necessary tools to transform their businesses with generative AI.
NVIDIA's Spectrum-X powers the NVIDIA Israel-1 supercomputer, which serves as a reference architecture for next-generation AI systems.

nVidia has made an exciting announcement today, revealing that Dell Technologies, Hewlett Packard Enterprise, and Lenovo will be the first to integrate NVIDIA Spectrum-X Ethernet networking technologies for AI into their server lineups. This move aims to help enterprise customers accelerate generative AI workloads.

Spectrum-X is specifically designed for generative AI, offering a new class of Ethernet networking that delivers 1.6 times higher networking performance for AI communication compared to traditional Ethernet products. By combining Spectrum-X with NVIDIA Tensor Core GPUs, NVIDIA AI Enterprise software, and NVIDIA AI Workbench software, the new systems from these top system makers will provide enterprises with the necessary tools to transform their businesses with generative AI.

Jensen Huang, the founder and CEO of NVIDIA, emphasized the significance of accelerated networking in driving the transition to the era of generative AI. He stated, “Generative AI and accelerated computing are driving a generational transition as enterprises upgrade their data centers to serve these workloads.”

The collaboration between Dell Technologies and NVIDIA aims to provide customers with the infrastructure and software required to extract intelligence quickly and securely from their data. Michael Dell, Chairman and CEO of Dell Technologies, highlighted the importance of accelerated computing and networking in meeting the demands of large language models and generative AI applications.

Antonio Neri, President and CEO of HPE, acknowledged that generative AI will undoubtedly drive innovation across multiple industries. He stressed the need for a fundamentally different architecture to support these powerful new applications. Through their partnership with NVIDIA, HPE aims to build systems with the necessary power, efficiency, and scalability to support generative AI.

Lenovo’s Chairman and CEO, Yuanqing Yang, also recognized the transformative potential of generative AI. He emphasized the importance of efficient and accelerated systems with the right networking, computing, and software capabilities to power modern AI applications. Lenovo is working closely with NVIDIA to develop such systems.

Spectrum-X is a networking solution purpose-built to accelerate AI workloads. It combines the high performance of the Spectrum-4 Ethernet switch, the NVIDIA BlueField-3 SuperNIC for network acceleration, and acceleration software. The Spectrum-4 Ethernet switch is the world’s first 51Tb/sec switch for AI, offering effective data throughput at scale while minimizing network congestion. Its intelligent routing technology ensures maximum utilization of network infrastructure.

The BlueField-3 SuperNICs are designed for network-intensive, massively parallel computing. They provide up to 400 Gb/s RDMA over Converged Ethernet (RoCE) network connectivity between GPU servers, boosting performance for AI training and inference traffic. These SuperNICs also enable secure, multi-tenant data center environments, ensuring deterministic and isolated performance between tenant jobs.

The acceleration software powering Spectrum-X includes NVIDIA software development kits such as Cumulus Linux, Pure SONiC, and NetQ. These software kits drive the platform’s breakthrough performance. Additionally, the NVIDIA DOCA software framework, at the core of BlueField, further enhances acceleration capabilities.

To support the deployment of generative AI at scale, NVIDIA offers AI Enterprise frameworks, pretrained models, and development tools. These tools ensure secure, stable, and supported production AI. NVIDIA AI Workbench allows developers to create, test, and customize pretrained generative AI models on a PC or workstation, with the ability to scale them to any data center or cloud environment.

NVIDIA’s Spectrum-X also powers the NVIDIA Israel-1 supercomputer, which serves as a reference architecture for next-generation AI systems. Developed in collaboration with Dell Technologies, the Israel-1 supercomputer utilizes Dell PowerEdge XE9680 servers equipped with the NVIDIA HGX H100 eight-GPU platform, BlueField-3 DPUs, SuperNICs, and Spectrum-4 switches.

The new systems from Dell, HPE, and Lenovo featuring the complete NVIDIA AI stack are expected to be available in the first quarter of next year. This collaboration marks an important step in advancing generative AI and providing enterprises with the necessary tools to drive innovation and transformation.

About Our Team

Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

Background Information

About Dell:

Dell is a globally technology leader providing comprehensive solutions in the field of hardware, software, and services. for its customizable computers and enterprise solutions, Dell offers a diverse range of laptops, desktops, servers, and networking equipment. With a commitment to innovation and customer satisfaction, Dell caters to a wide range of consumer and business needs, making it a important player in the tech industry.

Latest Articles about Dell

About Lenovo:

Lenovo, formerly known as "Legend Holdings," is a important global technology company that offers an extensive portfolio of computers, smartphones, servers, and electronic devices. Notably, Lenovo acquired IBM's personal computer division, including the ThinkPad line of laptops, in 2005. With a strong presence in laptops and PCs, Lenovo's products cater to a wide range of consumer and business needs. Committed to innovation and quality, Lenovo delivers reliable and high-performance solutions, making it a significant player in the tech industry.

Latest Articles about Lenovo

About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

Latest Articles about nVidia

Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.