Deep Dive Into Creating and Listing on the Runpod Hub
A deep technical dive into how the Runpod Hub streamlines serverless AI deployment with a GitHub-native, release-triggered model. Learn how hub.json and.
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RunPod Blog
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Introducing the Runpod Hub: 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.
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Introducing the New Runpod Referral & Affiliate Program
Runpod enhanced its referral program with exciting new features including randomized rewards up to $500, a premium affiliate tier offering 10% cash.
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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.
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Building Runpod templates: Your first custom template
Step-by-step guide to building a custom PyTorch Docker image, pushing it to Docker Hub, and saving it as a reusable Runpod Pod template with a GPU test.
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How to use Kimi K3.1 Pro and K3.1 Pro Highspeed on Runpod
Kimi K3.1 Pro and K3.1 Pro Highspeed are live on Runpod Public Endpoints. Get started in the Playground, with curl, or with the OpenAI Python SDK.
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Runpod Achieves SOC 2 Type II Certification
Runpod has officially achieved SOC 2 Type II certification, validating that its enterprise-grade security controls not only meet strict design standards.
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Build a Halloween Murder Mystery Game with AI on Runpod
Build Murder at Hollow Manor, a Halloween mystery game with AI suspects and generated portraits, using Python, Qwen3 32B and FLUX.1 Schnell on Runpod.
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Serverless GPU inference vs. GPU Pods: cost benchmarks
We benchmarked one A40 as a Pod and as a Serverless worker. A busy worker cost about 2.3x per token, but Serverless wins below 29 billed minutes an hour.
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Batch Inference Is Now Generally Available on Runpod
Batch Inference is now generally available on Runpod Serverless. Send up to 3 million requests a day to an existing queue-based endpoint, on dedicated workers.
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Runpod Q3 2026: Batch Inference, Global Volumes, Enterprise
See what shipped on Runpod in Q3 2026, from Batch Inference and Global Volumes to Cluster Expansion, REST API v2 and Organizations for Runpod Enterprise..
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Benchmarking LLMs: A Deep Dive into Local Deployment & Optimization
Curious how local LLM deployment stacks up? This post explores benchmarking strategies, optimization tips, and what DevOps teams need to know about.
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Disco Diffusion on Runpod: Creative AI for Artists
Explore Disco Diffusion on Runpod, an experimental art model beloved for its dreamlike style. Perfect for creative pros looking to generate high-concept.
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Google Colab Pro vs. Runpod: Best GPU Cloud for AI Workloads
Compare Google Colab Pro and Runpod across pricing, reliability, and GPU access. Which is the better deal for developers running real AI workloads?
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How to Benchmark Local LLM Inference for Speed and Cost Efficiency
Explore how to deploy and benchmark LLMs locally using tools like Ollama and NVIDIA NIMs. This deep dive covers performance, cost, and scaling insights.
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How to Run a "Hello World" on Runpod Serverless
New to serverless? This guide shows you how to deploy a basic "Hello World" API on Runpod Serverless using Docker, perfect for beginners testing their.
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Intro to WebSocket Streaming with Runpod Serverless
This follow-up to our “Hello World” tutorial walks through streaming output from a Runpod Serverless endpoint using WebSocket and base64 files.
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Introducing Clusters: On-Demand Multi-Node AI Compute
Runpod's Clusters let you spin up multi-node GPU environments instantly, ideal for scaling LLM training or distributed inference workloads without config.
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Orchestrating GPU workloads on Runpod with dstack
dstack is an open-source, GPU-native orchestrator that automates provisioning, scaling, and policies for ML teams, helping cut 3-7× GPU waste while.
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Streamline GPU Cloud Management with Runpod’s New REST API
Runpod’s new REST API lets you manage GPU workloads programmatically, launch, scale, and monitor pods without ever touching the dashboard.
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