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The NVIDIA Quantum-X800 platform is purpose-built for trillion-parameter-scale AI.

 

Based on the Quantum-X800 InfiniBand switch and the NVIDIA® ConnectX®-8 SuperNIC, QuantumX-800 enables a new frontier of innovation.
 

The NVIDIA Quantum-X800 platform is the next generation of NVIDIA Quantum InfiniBand purpose-built for trillion-parameter-scale AI models. Based on the Quantum-X800 InfiniBand switch portfolio and the NVIDIA® ConnectX®-8 SuperNIC, QuantumX-800 supports advanced hardware-based NVIDIA In-Network Computing with Scalable Hierarchical Aggregate Reduction Protocol (SHARP)™ v4, adaptive routing, and telemetry-based congestion control to enable a new frontier of AI innovation.

WWT experts and the AI Proving Ground in our Advanced Technology Center (ATC) support the latest in NVIDIA Quantum InfiniBand platform.

Connect with our NVIDIA Experts

Neil AndersonVP Cloud, Infra, and AI Solutions
Mike TrojeckiSr. Director, AI Practice
Jeff FonkePractice Director High-Performance Architecture
Derrick MonahanPrincipal Solutions Architect | High Performance Architecture | AI and Data
Justin van SchaikTechnical Solutions Architect
Eric FairfieldTechnical Solutions Architect
Ben KoolsPractice Manager, ATC Solutions Development
Tim BrooksManaging Director & Chief AI Advisor
Ellie CosgroveSenior Global Partner Manager

Learn more about NVIDIA Infiniband and WWT

NVIDIA

NVIDIA is a leading technology company that has played a significant role in shaping the gaming, graphics, and AI industries. Their cutting-edge technology and innovative solutions have helped to advance these industries and have contributed to the development of new applications and use cases for technology.
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Introduction to NVIDIA's AI/ML GPU networking solutions

This article discusses the importance of deploying AI applications and training models using distributed computing and the need for significant computational resources. It highlights the role of network efficiency and scalability in large-scale AI deployments.
Article
•Aug 6, 2024

High Performance AI/ML Networking

Today, network engineers, especially in the data center space, must acquire AI/ML infrastructure skills and be able to discuss the required infrastructure upgrades and the reasoning for the upgrades with upper management. At WWT, we are committing $500 million to help our customers with AI/ML, and we have launched a new series of Learning Paths to help the reader navigate complex AI topics. By mastering these areas, data center network engineers can effectively contribute to successfully implementing and managing advanced AI and HPC infrastructure, aligning technological capabilities with business objectives while maintaining a robust and secure network environment.
Learning Path

AI Proving Ground

Welcome to the AI Proving Ground — the industry's first and only multi-OEM AI testing environment housed within the ATC. Compare, test and train AI solutions with a growing list of composable labs featuring the latest reference architectures, hardware and software from the leading AI innovators.
ATC
Contact a WWT expert to learn more

NVIDIA Quantum InfiniBand Platform

Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these needs continue to grow, NVIDIA Quantum InfiniBand—the world's only fully offloadable, In-Network Computing platform—provides dramatic leaps in performance to achieve faster time to discovery with less cost and complexity.

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