Blog
Introducing Sonic Inference Pods: Modular data centers built for inference
Sonic Inference Pods are Runware's modular 1MW inference data centers: 1,200 GPUs in a 20-foot container, closed-loop liquid cooling, and 30–80% lower cost per GPU-hour. Here's how we got here.
Introducing Style LoRA Training on Runware
In-house Style LoRA training is live on Runware. Train a small adapter on your own images for tighter brand and style consistency than reference images can give you, on FLUX.1 [dev], FLUX.2 [klein] 4B/9B, Qwen-Image, or Z-Image Base.
Black Forest Labs' FLUX 3, Beyond Text-to-Image
FLUX 3 Video, Black Forest Labs' first FLUX 3 ecosystem model, is live on Runware: text-to-video, image-to-video, keyframes, and video continuation.
Google's Gemini Omni Flash is the AI editor you've been waiting for
Gemini Omni Flash brings stateful, conversational video editing to Google's multimodal stack. Here's how it compares to Veo 3.1, Kling, Seedance, and HappyHorse, and how to get started on Runware.
Your stack, your choice: Runware via MCP, CLI, or Skills
Runware now offers an MCP server for AI agents, a CLI for the terminal, and Skills that package up Runware know-how for whichever one you're using. All three reach the same catalog across image, video, audio, 3D, and LLMs.
The closed-source LLM premium has collapsed
Open-source models now match closed-model benchmarks at 87% lower cost. Here's what that means for developers choosing between open source inference and OpenAI.
OpenClaw: what can you use an always-on agent for?
From monitoring staging to morning digests, OpenClaw handles background tasks continuously. Route inference through Runware and skip the server setup.
Custom AI style models for brand teams: from 10 Images to infinite assets
Stop re-describing your brand aesthetic in every prompt. Train a custom image model on Runware and generate on-brand visuals at any scale, any format.
Which LLM should you use? A practical guide to matching models to pipeline layers
Which LLM API is cheapest for batch tasks? How does DeepSeek compare to GPT-5.4 Mini? Real model tests, from coding to prompt enhancement.
