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Hosea Ng

How We Beat Silicon Valley at AI Deployment: 3x Faster, 1/5 the Cost For AI Engineers

How We Beat Silicon Valley at AI Deployment: 3x Faster, 1/5 the Cost For AI Engineers

1. Introduction: One-Click Deploy Platforms As AI adoption accelerates across industries, a new category of infrastructure platforms has emerged—“One-Click Deploy” AI platforms. These services allow developers to launch machine learning models as APIs with minimal configuration, handling the heavy lifting of: * Auto-scaling * Latency optimization * Cost efficiency * Deployment orchestration These

Deep Learning Model Prediction Using ONNXRuntime

Deep Learning Model Prediction Using ONNXRuntime

In the age of Hugging Face and high-level APIs, .predict() has become the default way to run machine learning models. It’s easy, it works out of the box, and it hides a lot of complexity under the hood. So why not just stick with it? Well, if you’re

Micro-services for AI: Here’s Why The Best Software Engineers Don’t Use model.predict() Anymore

Micro-services for AI: Here’s Why The Best Software Engineers Don’t Use model.predict() Anymore

Real Life Analogy Imagine you run a small T-shirt business from your home. Every time a customer in Vietnam orders a shirt, you hand-make it and send a worker directly from your house to deliver it. You assume things are working: shirts go out, customers get them. But complaints begin

Hyperpod Public Launch

Hyperpod Public Launch

Today, app.hyperpodai.com is officially live 🚀 Turn any AI file into an API with a single drag and drop. No config files. No servers. No nonsense. 💡 Perfect for: • Building an AI Prototype in 30 mins • Finishing that school project in 3 hours • Validating your AI startup idea in 3