AI workloads are inherently distributed, requiring unprecedented levels of network performance and reliability. This session will explore the unique characteristics of end-to-end networking fabrics designed to support distributed AI at scale. We will examine how to build high-performance, lossless, and congestion-free Ethernet networks that accelerate both training and inferencing. Emphasis will be placed on the role of open networking architectures, enhanced visibility for real-time monitoring and optimization, and intelligent automation to ensure agility and operational efficiency. The audience will gain practical insights into fabric approaches…
Learn about the critical role of the cloud network in serving AI models for inference. This session will provide an overview of the connectivity requirements, AI specific network network optimizations and design patterns that enable AI inference with minimal latency and optimal use of GPU/TPU accelerators. We will discuss a reference architecture that delivers a unified multi-model inference endpoint with scale, resiliency, API governance and responsible AI.
Tired of AI hype? Attend this session to explore real-world AI use cases successfully deployed within manufacturing companies. We’ll delve into the top use cases driving ROI for manufacturers, highlighting the role of the NVIDIA tech stack in these solutions. DataQI specializes in tailoring AI for the manufacturing sector, helping organizations strategically evolve existing systems to compete in the market. You’ll leave with a blueprint to accelerate your AI journey, ready to meet both current demands and future challenges. This is your practical guide to…
Learn how WWT is collaborating closely with Cisco and NVIDIA to bring cutting-edge AI solutions to life with the Cisco Secure AI Factory with NVIDIA. In this session, we’ll explore the key components of the AI stack that power this joint solution and what makes it unique in the market. Whether you’re just starting your AI journey or looking to scale, discover how this partnership is accelerating real-world AI adoption with security, scalability, and innovation at its core.
With emerging AI cyber-attacks, zero-day threats, malware, ransomware and the growing concern around protecting their AI deployment/applications, and preventing leakage from LLM; and on the other hand, with network getting more and more complex and security alerts continuously growing, the use of AI to accelerate response to threats and simplify their day-to-day operations is critical. During this session we’ll discuss how to use AI to not only secure your AI but also how to protect your workloads and assist in day– to -day operations.
Join us for cocktails and snacks as we celebrate the opening of the 2025 AI Networking Summit NYC.
As the timeline for quantum computing accelerates, enterprises are now beginning to migrate their multi-year Post Quantum Cryptography (PQC) journey. An effective PQC migration requires methodical planning as the IT footprint of most enterprises is diverse, dynamic, and spans multiple OS vendors, cloud service providers, and specialized applications. Adding to the complexity are legacy applications and IoT devices that may not have been designed to be upgraded but are still operationally critical for the business. This complexity positions an enterprise’s network infrastructure as the most…
