Your architecture isn't broken. But the assumptions baked into it probably are.
From why AI blows up your cloud bill before your CPU alert even fires, to why prompt injection is the new SQL injection, to why the one architecture pattern every team needs right now is an AI gateway, this is the episode your DevOps and platform engineering teams need to hear.
Key topics covered:
• How AI infrastructure differs from traditional cloud infrastructure
• Why AI scaling is fundamentally different from CPU and RAM-based auto scaling
• How AI sends your cloud bill through the roof before you even realize it
• Why service communication and gateway timeouts break when AI enters the picture
• AI security best practices: Prompt Injection, PII protection, and AI governance
• Why auditing AI applications is harder than anything we've dealt with in traditional systems
• The Reverse Information Paradox and AI data privacy concerns
• Why every team needs an AI gateway and what it actually does
• How platform engineering needs to evolve to support AI infra properly
• GPU fundamentals every DevOps engineer should understand
If you're an engineering leader, DevOps engineer, or CTO trying to figure out how to make your infrastructure AI-ready without burning your budget or your security posture, this is the conversation that brings it all into focus.
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