Mohamed Belgaied Hassine
Consulting Architect at Mirantis
Munich, Germany
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Born in Tunisia, graduated and first professional experiences in France, Mohamed lives now in Germany since 2013, where he has been doing Consulting for Software vendors, first in the Big Data space, and then in the Cloud native space since 2019.
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The Future of AI Inference is Small, Distributed, and Budget-Conscious
By 2030, 90% of AI workloads will be inference—mostly smaller models at smaller organizations. Yet KubeCon talks focus on massive GPU clusters for frontier labs. We're building infrastructure for the wrong market.
This lightning talk argues for a shift: make AI inference accessible to budget-conscious organizations using CNCF projects we already have. I'll sketch a vision combining Cluster API (elastic infrastructure), HAMi (GPU sharing), and Kaito (optimized serving) to create cost-effective, distributed inference for the 90% of organizations who can't afford hyperscaler patterns.
Let's stop optimizing for OpenAI and Anthropic, and start optimizing for everyone else.
KCD UK Edinburgh 2026 Sessionize Event Upcoming
Cloud Native Summit 2026 Sessionize Event
KCD Czech & Slovak 2026 Sessionize Event
Mohamed Belgaied Hassine
Consulting Architect at Mirantis
Munich, Germany
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