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Our team’s insights on building better and scaling smarter.
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Automated Image Captioning with Gemma 3 on Runpod Serverless

Learn how to deploy a lightweight Gemma 3 model to generate image captions using Runpod Serverless. This walkthrough includes setup, deployment, and sample outputs.
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AI Workloads

From OpenAI API to Self-Hosted Model: A Migration Guide

Tired of usage limits or API costs? This guide walks you through switching from OpenAI’s API to your own self-hosted LLM using open-source models on Runpod.
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AI Infrastructure

From Pods to Serverless: When to Switch and Why It Matters

Finished training your model in a Pod? This guide helps you decide when to switch to Serverless, what trade-offs to expect, and how to optimize for fast, cost-efficient inference.
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AI Infrastructure

How a Solo Dev Built an AI for Dads—No GPU, No Team, Just $5

No GPU. No team. Just $5. This is how one solo developer used Runpod Serverless to build and deploy a working AI product—"AI for Dads"—without writing any custom training code.
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AI Workloads

RunPod Just Got Native in Your AI IDE

RunPod now integrates directly with AI IDEs like Cursor and Claude Desktop using MCP. Launch pods, deploy endpoints, and manage infrastructure—right from your editor.
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AI Workloads

Qwen3 Released: How Does It Stack Up?

Alibaba’s Qwen3 is here—with major performance improvements and a full range of models from 0.5B to 72B parameters. This post breaks down what’s new, how it compares to other open models, and what it means for developers.
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Hardware & Trends

GPU Clusters: Powering High-Performance AI (When You Need It)

Different stages of AI development call for different infrastructure. This post breaks down when GPU clusters shine—and how to scale up only when it counts.
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AI Infrastructure

Build what’s next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.