When Hugging Face went to investigate this summer’s OpenAI containment breach, the commercial models they reached for refused to help, because their safety guardrails couldn’t tell defending from attacking apart. Instead, Hugging Face used an open weight model on their own infrastructure and finished the forensics in hours with none of the attacker data leaving their environment. It’s the perfect example of how open weight models let you control your guardrails, privacy, governance, latency, and reliability.
More companies are asking if they should use and self host open weight models, and this talk will walk through a framework to determine when it does and doesn’t make sense. By the end of this talk, attendees will understand what the benefits and drawbacks are of open weight models, and how they can bring both technical and business value.
MLOps World | GenAI Summit 2026 is a two days of case studies, workshops, and expo on taking AI/ML and agentic systems into production – at the Etter-Harbin Alumni photo – full-bleed hero or browse files.
