In-Person Event

World Summit AI Amsterdam

October 8 – 9, 2025, 9am – 6pm CET
Taets Art & Event Park, Amsterdam
Middenweg 62, 1505 RK Zaandam, Netherlands

Explore Agentic AI Strategies with WEKA at World Summit AI Amsterdam 2025

WEKA is proud to sponsor World Summit AI Amsterdam. Our team will be on site delivering keynotes, panel discussions, and a workshop.

October 8 – 9, 2025
Join Us

Let’s Connect

Ready to rethink your AI infrastructure? Book a 1:1 meeting with WEKA’s AI experts at World Summit AI Amsterdam.

  • Build a strategy for scalable, GPU-optimized AI infrastructure
  • Explore how NeuralMesh by WEKA eliminates performance bottlenecks in your data infrastructure
  • Discuss proven best practices for driving AI efficiency, from training to inference to deployment

Spots are limited—secure your session early for tailored insights.

Reserve a 1:1 Meeting

Discounted Pricing

Join WEKA at World AI Summit Amsterdam 2025 to discover how we’re helping enterprises, AI cloud providers, and AI builders supercharge their AI initiatives with high-performance infrastructure designed for frontier-scale workloads and agentic AI systems.

Use WEKA25 for 25% off registration

WEKA Session Catalog

Speaker: Val Bercovici, Chief AI Officer, WEKA
When: Wednesday, October 8, 2025
12:15 PM – 12:35 PM
Where: Track 1: Deep Dive Tech Talks
Type: Headliner Keynote
In-Person Speaker Session

Overcoming The AI Memory Wall: Why Intelligent Agents Need a New Foundation

The AI industry is rapidly evolving from basic chatbots to advanced agent swarms, capable of collaborating on complex tasks over extended periods. However, this progression has revealed a fundamental infrastructure challenge: the AI memory wall. The “memory wall” emerges where agentic AI’s core requirement—persistent, long-term context for multi-turn reasoning—collides with GPU memory limitations, driving an architectural revolution in modern data center design. To overcome this hurdle, augmented memory has become table stakes in the race to improve the efficiency and performance of data infrastructure that can keep up with the relentless pace of agentic innovation, and enable truly intelligent AI systems for sustained reasoning.

This session will provide AI executives, builders, and strategists with a strategic framework for building dynamic AI infrastructure that enables efficient AI reasoning, where agents maintain continuous thought processes rather than starting fresh with each new interaction to maximize their full potential.

Moderator: Lauren Vaccarello, Chief Marketing Officer, WEKA
Speaker: Val Bercovici, Chief AI Officer, WEKA
Anja Kaspersen, Director, Global Markets, New Frontiers and Critical Technologies, IEEE
When: Wednesday, October 8, 2025
2:25 PM – 3:05 PM
Where: Track 1: Deep Dive Tech Talks
Type: Keynote Panel Discussion
In-Person Speaker Session

Frontier Models: What’s Next for the Most Advanced AI Systems?

As the world’s leading AI builders accelerate their pursuit of increasingly advanced AI systems, the critical conversations now center on issues of efficiency, scale, safety, and far-reaching societal impact.

Infrastructure decisions made today will shape whether organisations can efficiently scale AI for long-term success and realize its true potential in frontier applications.

This session explores the future of frontier models that are pushing the boundaries of accelerated compute infrastructure and AI’s potential. What capabilities are emerging? What challenges accompany them? And how can we align these systems with human values to ensure they benefit and advance society?

Speaker: Val Bercovici, Chief AI Officer, WEKA
Betsy Chernoff, AI Product Marketing Lead, WEKA
When: Thursday, October 9, 2025
12:40 PM – 1:10 PM
Where: Track 6: Workshops
Type: Workshop
In-Person Speaker Session

Scaling AI: Leverage Caching Algorithms to Maximize Agentic ROI

Agentic AI innovation is creating cost pressures that are crushing profit margins across industries. Today’s AI architects face a critical challenge: balancing cost efficiency with rapid development cycles and competitive time-to-market advantages.

Key-value caching (KV Cache) offers a powerful solution. When implemented effectively, KV Cache can transform your AI economics by dramatically reducing time to first token and slashing cost per token—all without sacrificing performance or time to market.

WEKA’s Val Bercovici and Betsy Chernoff will demonstrate how to architect and deploy caching algorithms that optimize your token economics, sharing practical strategies to achieve cost-effective agentic AI innovation at scale.