Francois Beaufort
Showing 1–5 of 5 transcripts.
- RAISE Summit21 min
Crusoe's Energy-First Vision for the AI Cloud | Chase Lochmiller | RAISE Summit 2026
Chase Lochmiller, Henri Delahaye, Francesc Campoy, DAN GALPIN, FRANCOIS BEAUFORT
Crusoe is establishing itself as a vertically integrated AI infrastructure leader by relocating compute from traditional hubs to stranded energy sources, having secured over 40 GW in its development pipeline with rapid construction cycles like the 11-month Abilene project. The company recently acquired Atero to deploy its "Crusoe Memory Alloy" for optimized inference, simultaneously shifting its product strategy toward distributed "AI factories" that monetize hardware investments through cost-effective token generation rather than large-scale training. As the industry transitions from theoretical announcements to execution over the next 24 months, Crusoe prioritizes operational resilience and end-user value delivery to dominate the emerging market for decentralized, energy-driven AI services.
- RAISE Summit28 min
Fireside Chat with Yann LeCun, Executive Chairman of AMI Labs | RAISE Summit 2026
Yann LeCun, Tom Mackenzie, Chet Haase, Francois Beaufort, Romain Guyett
Yann LeCun founded AMI Labs to develop JEPA-based World Models that overcome the physical reasoning limitations of current Large Language Models by predicting abstract states rather than discrete tokens. This strategic departure from Meta, driven by incompatible visions for Artificial General Intelligence and business focus, positions the Paris-based entity to lead global industrial applications like Level 5 autonomy and domestic robotics. To ensure geopolitical neutrality and preserve data sovereignty, LeCun is also spearheading Project Tapestry, a distributed initiative aggregating parameters from diverse international contributors without requiring raw data sharing.
- RAISE Summit21 min
A Fireside Chat with Sébastien Verger, CTO at Dell Technologies ft.The French Tech Journal
Sébastien Verger, Francois Beaufort
Dell positioned AI as a core strategic pillar through its "Dell AI Factory," addressing the critical challenge where 80% of proof-of-concepts fail to reach production by emphasizing data quality and secure on-premises deployment. The company highlighted its logistical prowess in rapidly scaling infrastructure for partners like XAI and Mistral AI while launching tools such as Dell Pro AI Studio to enable local model execution on AI PCs. Looking toward the next five years, Dell anticipates healthcare breakthroughs in personalized cancer treatments and champions sovereign European data strategies to ensure sustainable, responsible AI governance.
- RAISE Summit37 min
OVH Cloud, ClickHouse, Neon, Aiven, Airbyte & Commit: Open Software Infrastructure 2.0
Abel, German, Oskari, Heike, Michel, Alexei, Francois Beaufort
Executives from Aiven, Neon, Airbyte, ClickHouse, and OVHcloud converged to discuss how open-source data platforms are securing $10 billion in combined valuations while addressing enterprise needs for data sovereignty and interoperability. The panel detailed how the AI boom is driving a shift from human-led development to agentic provisioning, creating demand for storage-centric architectures that support short-lived, unstructured data workloads. Looking ahead, industry leaders predict a five-year trajectory where hundreds of millions of citizen developers leverage commoditized AI to compress development cycles, necessitating hybrid infrastructure strategies that balance local model execution with scalable cloud data management.
- RAISE Summit19 min
A Fireside Chat: Beyond Asimov's Laws: How GenesisAI is Bringing AI to the Physical World
Omar, Sebastien Detranier, Francois Beaufort, Theo Varontas
Genesis AI is a Paris-San Francisco startup backed by Eclipse, BP France, and Alvin that aims to automate 50% of the global economy's physical tasks by applying internet-scale foundation models to general-purpose robotics. Co-founder Sebastien Degraffe leverages a proprietary physics engine and a three-pronged data strategy to solve the scarcity of diverse robotics training data, differentiating the firm from competitors reliant on expensive human-in-the-loop collection methods. With a seed round exceeding $100 million, the company plans to deploy Proof of Concepts in pharmaceutical labs and hotels within the next year while targeting full-scale commercialization of adaptable, generalist machines over a three-to-five-year timeline.