Nebius CRO Marc Boroditsky highlights need for AI ecosystem collaboration

Uber: Uber is a global technology platform providing ride-sharing, delivery, and mobility services with substantial infrastructure demands. Mattie Toia serves as Vice President of Infrastructure at Uber. Toia participated in the discussion on why advancing AI compute requires collaboration across the entire technology stack rather than isolated contributions. NVIDIA: NVIDIA designs graphics processing units and specialized hardware for high-performance computing and AI workloads. Dion Harris serves as Senior Director of HPC & AI Hyperscale Infrastructure Solutions at NVIDIA. Harris contributed to the AI Agenda Live panel highlighting the need for ecosystem-wide approaches to improve compute economics. Nebius: Nebius operates as an AI-focused infrastructure and cloud services provider. Marc Boroditsky serves as its Chief Revenue Officer. Boroditsky joined the AI Agenda Live event panel to stress that models alone do not solve problems and that compute economics improvements require full end-to-end ecosystem solutions. Dion Harris: Dion Harris is Senior Director of HPC & AI Hyperscale Infrastructure Solutions at NVIDIA. He participated in the AI Agenda Live event discussion. Harris contributed insights on why compute economics improvements span multiple layers of the AI value chain rather than depending on any single participant. Mattie Toia: Mattie Toia is Vice President of Infrastructure at Uber. She joined the panel discussion at the AI Agenda Live event. Toia addressed how infrastructure challenges in AI demand coordinated input from across the technology ecosystem. Marc Boroditsky: Marc Boroditsky is Chief Revenue Officer at Nebius. He spoke at the AI Agenda Live event with executives from Uber and NVIDIA. Boroditsky underscored that standalone AI models fall short without integrated end-to-end solutions for practical problem-solving. End-to-End Solutions: Recent discussions in AI infrastructure events highlight the necessity of integrating models with supporting systems to deliver practical economic and operational benefits. Ecosystem Collaboration: Industry panels emphasize that successful AI deployments depend on coordinated contributions from hardware providers, cloud platforms, and application developers rather than any isolated technology.