Building AI Platforms Without Losing Your Engineering Principles @socallinuxexpo
Building AI Platforms Without Losing Your Engineering Principles  @socallinuxexpo
Uploaded April 2026 | Updated September 2026, 1 week ago
Talk by Engin Diri

socallinuxexpo.org/scale/23x/presentations/building-ai-platforms-without-losing-your-engineering-principles

As organizations adopt generative AI, platform teams must support multi-node inference, GPU-based model serving, and growing API sprawl while keeping the developer experience simple. This session explores Kubernetes-native approaches like kserve, high-throughput frameworks like vLLM, and gateways like LiteLLM for standardized model access. Attendees will learn concrete patterns for supporting AI at scale while preserving the principles that made their platforms successful.
Building AI Platforms Without Losing Your Engineering PrinciplesSteering the Future of NixOS: Governance, Growth, and CommunityBazzite: The Modern Model for the Linux DesktopLearning the Language of Privacy: Language Learning Apps and PrivacyRunning Containers with Open Source Akash Network, a Blockchain-based Distributed Computing PlatformOutsource the Tedium with Open Source and Cloud AI - Automated Planogram GenerationFull Text Search, the Next GenerationUsing AI for natural language configuration of FreePBXDeveloping Open Source Hardware Solutions for FRCIntroduction to Multikernel Linux
Southern California Linux Expo |

Building AI Platforms Without Losing Your Engineering Principles

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