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Beyond Centralised AI: How Lyra Powers Global Distributed Intelligence

As Europe’s AI leaders gather for NVIDIA GTC Paris 2025, Stelia’s agentic-led platform offers a pathway to overcome the scaling challenges holding back enterprise AI adoption

2025 isn’t even halfway through yet and it’s clear the shift from centralised to distributed inference is well underway. This represents perhaps the most significant AI execution trend of the year, and it’s at the heart of what Stelia will showcase as a Gold Sponsor at NVIDIA GTC Paris 2025 this June.

According to recent industry data, the global AI inference market is projected to reach $1.3 trillion by 2032, with distributed architectures driving remarkable cost reductions. Beyond technical tweaks this is new approach to how AI delivers business value.

Enterpise Edge Report

Pilotitis

If you’ve been following the enterprise AI journey, you’re likely familiar with what industry analysts call pilotitis or the “prototype problem” – AI applications that work brilliantly in controlled environments but struggle when exposed to real-world conditions and scaling requirements.

“European enterprises have proven AI concepts but now face the challenge of reaching millions of users while maintaining performance,” explains Dan Scarbrough, Chief of Staff at Stelia. “The gap between today’s approaches and tomorrow’s AI-powered world creates bottlenecks that traditional methods cannot address.”

These represent fundamental limitations in latency, cost, and deployment when using centralised inference models:

  • Latency issues when transferring data across distributed environments
  • High operational costs from cross-region traffic and compute resources
  • Data privacy and regulatory compliance challenges
  • Inability to deploy effectively for real-time applications requiring millisecond responses

Lyra: The Distributed Intelligence Runtime

At NVIDIA GTC Paris 2025, Stelia will showcase how their Lyra distributed intelligence runtime transforms AI concepts into adaptive applications capable of reaching millions of users without boundaries.

Lyra addresses the fundamental challenges of centralised models through its agentic-led approach. The results are compelling:

  • Latency reduction of up to 90%, from 150ms to as low as 10-15ms in latency-sensitive applications
  • Bandwidth optimisation of 30-60% in content-heavy applications
  • Agent orchestration with existing AI workflows and models
  • Future-ready architecture through embedded, live-learning systems

What makes Lyra particularly powerful is its intelligence engine, which orchestrates autonomous agents and multi-agent systems—providing real-time intelligence as a core component of distributed AI applications.

The European AI Context

GTC Paris 2025 represents a unique convergence of AI development in the European context. Co-located with VivaTech (Europe’s largest startup and technology event), the conference will bring together developers, researchers, and business leaders from across the continent.

The timing couldn’t be more significant. According to recent data, 78% of organisations reported using AI in 2024, up from 55% in 2023. In Europe specifically, over 45% of EU enterprises intend to adopt edge-based AI by 2026.

NVIDIA CEO Jensen Huang’s live keynote on June 11 at the Dôme de Paris is expected to unveil exclusive European AI advancements, setting the stage for three days of intensive knowledge exchange and partnership development.

Collaborate to Win

Perhaps most compelling about Stelia’s presence at GTC Paris is their emphasis on design partnerships over pure technology provision. Their collaborative approach acknowledges that building transformative AI applications requires more than just powerful technology, demanding a shared journey from concept to global scale.

This design partnership model brings organisations from concept to global reach through a structured approach:

  1. Understanding unique challenges and AI vision
  2. Architecting applications on the Lyra intelligence engine
  3. Deploying autonomous agents to enterprise customers or consumer audiences
  4. Achieving global scale on a platform designed for distributed intelligence

For enterprises facing the reality that legacy approaches aren’t built for dynamic AI applications and that development velocity slows when trying to scale beyond initial success. This represents a compelling alternative to fragmented approaches.

Real-World Impact Across Sectors

The distributed intelligence revolution that Lyra enables is already transforming key sectors:

Media & Entertainment: Content delivery platforms require end-to-end latency below 50 milliseconds to maintain unified experiences. Distributed intelligence enables processing that reduces server load and bandwidth consumption by up to 40%.

Healthcare & Telemedicine: Real-time diagnostics, predictive alerts, and personalised treatments rely on fast, private AI processing. The market for AI-embedded healthcare wearables is projected to reach 350 million units by 2026.

Retail & E-commerce: AI-driven personalisation is expected to contribute $800 billion in new global retail revenue by 2025, with e-commerce retailers generating 10-30% of revenue from AI-driven suggestive selling.

Connect with Stelia at GTC Paris 2025

For organisations looking to scale their AI initiatives, Stelia’s team will be available throughout GTC Paris 2025, June 10-12 at the Paris Expo Porte de Versailles. To learn more about Stelia or to book a meeting during the event: visit Stelia, book a meeting or contact lyra@stelia.ai

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