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.
RunPod Blog
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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.
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..
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.
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.
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?
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.
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.
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.
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.
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.
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.
What’s New for Serverless LLM Usage in Runpod (2025 Update)
Runpod's serverless platform keeps evolving, especially for LLM workloads. Learn what's new in 2025 and how to get the most from scalable deployments.
Getting started with GLM-5.3 on Runpod's public endpoint
GLM-5.3 is now on Runpod's public endpoints at a lower price than elsewhere. Try it in the Playground, call it with curl, or use the OpenAI SDK in Python.
GPU Cloud vs On-Prem Clusters: A Cost Breakdown
We crunched the numbers: deploying 4x A100s on Runpod's GPU cloud can save over $124,000 versus an on-prem cluster across 3 years. Learn why cloud beats.
How to Manage Funding Your Runpod Account
This guide breaks down everything you need to know about billing on Runpod, how credits are applied, what gets charged, and how to set up automatic or.
Runpod Global Networking Expands to 14 More Data Centers
Runpod’s global networking feature is now available in 14 new data centers, improving latency and accessibility across North America, Europe, and Asia.
Runpod Slashes GPU Prices: More Power, Less Cost for AI Builders
Runpod has reduced prices by across Serverless and Secure Cloud GPUs, making high-performance AI compute more accessible for developers.
Runpod vs. Google Colab Pro: Which GPU Cloud Is Right for You?
Google Colab meters compute and does not guarantee a GPU. Runpod gives you a specific GPU, for as long as you want it, billed by the second.
DeepSeek V4 in the wild, and how to run it on Runpod
DeepSeek V4 is not the "Sputnik moment" R1 was, but it is the cheapest credible alternative to Claude Opus and GPT-5.5 that anyone has shipped thus far.