Red Hat distinguished engineer unpacks "The Agentic Paradox"
Can enterprises replace costly cloud-hosted models with self-managed, open-weight AI models to reduce AI inference costs? What are the consequences if they don't? A distinguished engineer working on emerging technologies in Red Hat's office of the CTO discusses his team's quest to answer these questions and his outlook on the future of enterprise AI.
Featuring: Stephen Watt, Distinguished Engineer and Vice President, Office of the CTO, Red Hat
In today’s episode, we’ll cover…
What the 'cloud paradox' and the 'agentic paradox' have in common.
Reinforcement learning and open weight models as a…
The skinny
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