AI at Amazon: a case study of brittleness
Amazon Alexa floundered amid brittle systems: a decentralized mess where teams rowed in opposing directions, clashing product and science cultures in tow... read more Â
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Amazon CEO warns staff: Eat or be eaten by AI
Amazon'sCEO sounds the alarm: AI is gearing up to decimate office jobs. He urges employees to sharpen their skills or risk getting the axe, all while Amazon unleashes a cavalcade of over1,000generative AI projects... read more Â
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Reinforcement Learning Teachers of Test Time Scaling
Reinforcement-Learned Teachers (RLTs)ripped through LLM training bloat by swapping "solve everything from ground zero" with "lay it out in clear terms." Shockingly, a lean 7B model took down hefty beasts likeDeepSeek R1. These RLTs flipped the script, letting smaller models school the big kahunas wi.. read more Â
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How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks
The Gemini Agent Network Protocol introduces powerful AI collaboration with four distinct roles. Leveraging Googleâs Gemini models, agents communicate dynamically for improved problem-solving... read more Â
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Automate customer support with Amazon Bedrock, LangGraph, and Mistral models
Welcome to the jungle of customer support automation, fueled byAmazon BedrockandLangGraph. These tools juggle the circus act of ticket management, fraud sleuthing, and crafting responses that could even fool your mother. Integration with the likes ofJiramakes for a dynamic duo. Together, they tackle.. read more Â
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ChatGPT polluted the world forever, like the first atom bomb
AI model collapsecould hit hard with synthetic data in play. Picturepre-2022 dataas the âlow-background steelâ savior for pristine datasets. The industry squabbles over thetrue fallout, while researchers clamor for policies that keep data unsullied. The worry? AI behemoths might lock everyone else o.. read more Â
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A Reality Check on DeepSeek's Distributed File System Benchmarks
3FSisn't quite matching its own hype. Yes, it boasts a flashy8 TB/s peak throughput, but pesky network bottlenecks throttle usage to roughly 73% of its theoretical greatness. Efficiencyâs hiding somewhere, laughing. A dig intoGraySortshows storage sulking on the sidelines, perhaps tripped up by CRAQ.. read more Â
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Deploying Llama4 and DeepSeek on AI Hypercomputer
Meta's Llama4models, Scout and Maverick, strut around with17B active parametersunder a Mixture of Experts architecture. But deploying onGoogle Cloud's Trillium TPUsor A3 GPUs? That's become a breeze with new, fine-tuned recipes. Utilizing tools likeJetStreamandPathways? It means zipping through infe.. read more Â
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Announcing up to 45% price reduction for Amazon EC2 NVIDIA GPU-accelerated instances
AWS chops up to45%from Amazon EC2 NVIDIA GPU prices. Now your AI training costs less even as GPUs play hard to get... read more Â
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Run the Full DeepSeek-R1-0528 Model Locally
DeepSeek-R1-0528's nanized form chops space needs down to162GB. But here's the kickerâwithout a solid GPU, it's like waiting for paint to dry... read more Â
The 2026 Lens: DevOps in an AI World: You're working in a world where AI is everywhere, embedded in your tools, requested by your management, and reshaping how teams deliver software. Whether you're embracing these changes or navigating the challenges they create, your experience matters.
We're looking for stories about how you and your organizations are adapting your mindsets, processes, and team dynamics in this rapidly evolving landscape. How did your team integrate AI into existing workflows? What changed about collaboration when AI entered the picture? Where do humans remain critical in automated processes? How do you build the next generation of engineers when entry-level work is automated? What are the real implementation challenges you're facing in Southern California's entertainment, gaming, aerospace, retail, healthcare, and manufacturing companies?
What makes DevOpsDayLA different:Â We focus on culture, collaboration, and cross-industry implementation stories rather than pure technical deep-dives. We're all about the people and processes that make technology successful in an AI world, not the technology itself.
We especially welcome new speakers, under-represented voices, and fresh perspectives from across SoCal's diverse tech landscape.
Attending
To attend DevOps Day LA purchase a  SCALE ticket via the SCALE website. Your ticket will provide access to both events.
Sponsor
DevOpsDayLA sponsors have the opportunity to offer job opportunities, demonstrations of the latest tools, and world-class service offerings to facilitate organizationsâ DevOps journey. The conference is presented with the support of the Southern California Linux Expo (SCALE). It provides a relaxed, casual, and diverse environment where experienced professionals, evangelists, agile practitioners, developers, job seekers, business executives, educators, students, and curiosity seekers can connect and attend talks on current topics.
For additional information, please contact us at los-angeles@devopsdays.org.
Speak at DevOpsDay LA
DevOpsDay LA sessions are selected through our calling for presentations for our 2026 event. We have posted a list of desired topics and best practices for submissions.
Friday, March 6, 2026 - 10:00 to 17:00
