World Congress 2026 North America
No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs
Emmanuel Acheampong
Senior Manager Developer Relations at Crusoe AI
World Congress 2026 North America
World Congress 2026 North America
September 23–25, 2026 · San José, CA
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You know that - A demo works on your laptop, then you deploy it elswere and it’s not. Migrating a Kubernetes workloads from one platform to another is not just flipping the switch. I created the LLM app utilizing a small quantized open model (~4B, CPU-only, serving inside the cluster) running it on a local kind cluster on my M4 MacBook. However, once moved to the AWS EKS, the pod died with ‘exec format error’. The fix exposed the next failure, and the next… a liveness probe killing the model server mid-load, ‘:latest’ meaning different images on different clusters, kubelet garbage-collecting the multi-gigabyte model weights, a hardcoded DNS suffix, a NetworkPolicy silently doing nothing. Let’s find out what lies between “works on my laptop” and “runs anywhere”, because “Build once, deploy anywhere” is a claim you must earn.
World Congress 2026 North America
Emmanuel Acheampong
Senior Manager Developer Relations at Crusoe AI
World Congress 2026 North America
Eric Wang, Paul Zimmerman
World Congress 2026 North America
Jeroen van Erp
Technical Advocate @ SUSE
World Congress 2026 North America
Tejas Pravinbhai Patel
IEEE Award-Winning Researcher | Best Keynote Speaker | Sr. Software Engineer at Amazon | AI Systems & Agent Architect