AirCloud got a major update in June 2026. This release focused on improving the experience for every team — whether you're just getting started with AirCloud or running multiple projects every day. We redesigned the console, introduced real-time notifications, and expanded persistent volume support to cover more deployment environments. The goal was to make the platform feel faster and more intuitive at every step. For detailed usage guides, visit AirCloud Docs. This post cov

Every GPU experiment starts the same way: before you write a single line of code, you're already fighting your environment. Matching CUDA versions, installing drivers, resolving package conflicts — two hours gone before anything actually runs. Air Cloud solves this by letting you deploy a container with PyTorch and CUDA pre-configured, then connect via SSH immediately. No local setup required. Add Claude Code into the mix, and you can start writing, debugging, and running cod

Real AI utilization starts with infrastructure — the kind that lets anyone use AI as much as they need, whenever they need it. As AI adoption accelerates, so does the infrastructure market behind it. Providers worldwide are competing across different architectures, and AIEEV is part of that race. Our approach is different: instead of building on centralized data centers, we launched as a distributed cloud that connects idle GPU resources across a decentralized network. Today,

AIEEV Launches “Air Cloud,” Connecting Edge GPUs Worldwide to Cut AI Inference Costs by 40% Beta Testing Completed – Upgraded Core...

AIEEV received the 'K-Startup Award' in the 'AI Platform Development' category at the 11th Korea Industry Awards 2025, hosted by MT at...