GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
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GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
How AI broke serverless and what to do about it with Vercel’s Mariano Fernández Cocirio
Humans of Reliability
13 minutes
10 months ago
How AI broke serverless and what to do about it with Vercel’s Mariano Fernández Cocirio
Mariano, Staff Product Manager at Vercel, explains why serverless architectures are hitting unexpected limits—they’re too fast. The industry has spent millions optimizing serverless for speed, but AI workloads are changing the game. In the AI realm, slower execution often leads to better results. The challenge? Paying for all that idle compute time while waiting for AI responses. Mariano explains how Vercel Fluid is introducing a new execution model that blends the best of serverl...
Humans of Reliability
GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
