As AI moves from pilot to production, the focus shifts from training to inference. However, many organizations are caught off guard by data bottlenecks that hinder performance. In this session, we address the silent latency tax that plagues AI deployments. While today’s GPUs are incredibly fast, without an equally fast data pipeline, they sit idle up to 70% of the time, waiting for data. The result? Slow, laggy AI services that frustrate users and waste costly compute resources.

We will explore how high-performance storage and low-latency I/O can eliminate these choke points, ensuring your GPU fleets are fully utilized and delivering valuable insights. Imagine a world of real-time AI with no wait times—a chatbot that never hesitates, an analytics engine that reacts instantly. Attendees will learn why the true inference bottleneck is no longer compute—it’s data access—and how to resolve it with modern, AI-native infrastructure.

Join us in London on July 8th for an exclusive Executive Round Table designed for innovators and industry leaders. Connect with peers and explore how the AI infrastructure stack is being reimagined—from accelerating KV cache performance to supporting real-time agents and ultra-large model inference. Together, WEKA and NVIDIA will unlock the full potential of the next-gen AI stack—combining the Blackwell-powered NVIDIA GB200 platform with WEKA’s high-performance data platform to enable blazing-fast, cost-efficient, and token-optimized AI. Don’t miss this opportunity to discover how to push the boundaries of AI and achieve exceptional results.

Thought Leader

speaker
Mike Bloom

Mike Bloom has worked closely with television, telecom, healthcare and advertising industries since the early 1990’s, largely involving the operation and development of infrastructure, data analytics and data management.

AI Solutions Architect - CTO Office at WEKA

Mike’s position with past storage vendors and his current position at WEKA as an AI Solution Architect provide him with opportunities to inspect a diverse range of workflows within Deep Learning and Generative AI.

Why attend?

  • Learn how to efficiently scale AI workloads with NVIDIA GB200 and the WEKA Data Platform.
  • Discover why KV cache offload to ultra-low-latency storage is crucial for accelerating inference at scale.
  • Explore best practices for token-optimized architectures that reduce infrastructure costs.
  • Understand how to eliminate I/O bottlenecks and drive GPU utilization to 90% and beyond.

 

This exclusive round table provides a unique opportunity to rethink your AI strategy and prepare your business for the future. Join us in the heart of London for a high-level discussion on the next-generation AI infrastructure.

8th Jul, 2025
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DETAILS
DATE08 July, 2025 TIME18:00 PM - 22:00 PM BST VENUETo be provided upon registration
EVENT SCHEDULE
  • 17:15 Chauffeur Service
  • 18:00 Executive Dinner Reception & Welcome Cocktail
  • 18:50 Opening Remarks
  • 19:00 Panel Discussion – Scaling AI Workloads with NVIDIA GB200 and WEKA Data Platform
  • 20:00 Starter
  • 20:30 Main Course
  • 21:00 Dessert
  • 21:50 Chauffeur Service
  • 22:00 End of Executive Dinner

To Register

This exclusive event – The Blueprint for Scalable AI – will focus on how cutting-edge AI infrastructure can accelerate inference, enhance GPU utilization, and optimize data access. Join us for engaging discussions on key trends in AI, all within a peer-to-peer setting.

This event is limited to a number of guests. Participation is free of charge.
Please note that your registration will only be confirmed upon receipt of an official confirmation email from BEE.

For further inquiries, please contact us at Reg@BeExecutiveEvents.com

JOIN US for an exclusive, senior-level dinner hosted by Be Executive Events and WekaThe Blueprint for Scalable AI.  This intimate event provides an opportunity for high-level conversations, idea exchange, and networking.

The event will be of particular interest to professionals in the following roles:

  • Chief AI Officer
  • Chief Technology Officer
  • Chief Data Officer
  • Chief Innovation Officer
  • Chief Information Officer
  • CxOs, SVP/EVP/VPs, Heads of Departments, and Managers responsible for AI/ML Infrastructure, AI/ML Strategy, Data Infrastructure, Cloud Computing, Digital Transformation, Technology, and Innovation.

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