Alyssa Mazzina

Alyssa is Runpod's Content Marketing Manager. She lives in California with her kids and dogs.

The New Runpod.io: Clearer, Faster, Built for What’s Next

Runpod has a new look — and a sharper focus. Explore the redesigned site, refreshed brand, and the platform powering real-time inference, custom LLMs, and open-source AI workflows.
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Product Updates

Introducing the Runpod Hub: Discover, Fork, and Deploy Open Source AI Repos

The Runpod Hub is here—a creator-powered marketplace for open source AI. Browse, fork, and deploy prebuilt repos for LLMs, image models, video generation, and more. Instant infrastructure, zero setup.
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Product Updates

Why the Future of AI Belongs to Indie Developers

Big labs may dominate the headlines, but the future of AI is being shaped by indie devs—fast-moving builders shipping small, weird, brilliant things. Here’s why they matter more than ever.
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Hardware & Trends

The Open Source AI Renaissance: How Community Models Are Shaping the Future

From Mistral to DeepSeek, open-source AI is closing the gap with closed models—and, in some cases, outperforming them. Here’s why builders are betting on transparency, flexibility, and community-driven innovation.
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Hardware & Trends

Why AI Needs GPUs: A No-Code Beginner’s Guide to Infrastructure

Not sure why AI needs a GPU? This post breaks it down in plain English—from matrix math to model training—and shows how GPUs power modern AI workloads.
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Learn AI

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

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

Build what’s next.

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