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Easiest Way to Deploy Open-Source Models to Production in 2026

Easiest Way to Deploy Open-Source Models to Production in 2026

Published 3 hours ago
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This story was originally published on HackerNoon at: https://hackernoon.com/easiest-way-to-deploy-open-source-models-to-production-in-2026.
You picked the open-source models. Now comes the hard part: production. Compare DIY inference, managed APIs, and SIE for scaling AI agents.
Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #open-source-ai, #ai-agents, #llm-infrastructure, #production-ai, #ai-deployment, #ml-ops, #generative-ai, #good-company, and more.

This story was written by: @merry-n-proprietary. Learn more about this writer by checking @merry-n-proprietary's about page, and for more stories, please visit hackernoon.com.

Your model choice was never the hardest part. Getting a fleet of open-source models into production without creating a full-time infrastructure job is. This guide breaks down three ways to ship AI agents: DIY with vLLM/TEI/SGLang, managed APIs, and multi-model inference with SIE.

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