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Discover how we work, grow, and innovate at AIEEV—straight from our team’s perspective.


95% of your GPU is idle
You're only using 5% of the GPUs you paid for As of April 2026, GPU utilization in enterprise Kubernetes clusters ranges between 5% and 30%. Despite costing $2 to $15 per hour depending on the hardware, most GPUs remain idle for the majority of the time. According to a Cast AI report, companies are spending up to 20× more than what they actually need for GPU compute. In the race to adopt AI, many organizations secure GPU capacity “just in case.”But simply holding onto that ca
2 days ago


Air Cloud Pricing Breakdown: From Air API to Air Container
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,
6 days ago


AI Infrastructure Is Bifurcating. Big Tech Is Spending $21 Billion.
This illustration was created with AI to support the explanation. A few days ago, Meta announced it was extending its AI cloud contract with CoreWeave through 2032, committing an additional $21 billion. Combined with the existing $14.2 billion agreement, the total comes to over $35 billion — roughly $35B locked in for GPU compute, years in advance. CoreWeave, as of the announcement date, became the fastest cloud company in history to reach $5 billion in ARR. The dollar fig
Apr 15


AI Infrastructure Must Go Beyond Geography
As geopolitical conflicts intensify, the limitations of centralized AI infrastructure are becoming clear.
This article explores why distributed infrastructure is emerging as a more resilient and necessary approach.
Apr 6


Google's TurboQuant — The Era of Serving LLMs Without Expensive GPUs Is Getting Closer
Google’s TurboQuant reduces KV cache memory usage in LLM inference without sacrificing accuracy. Learn why 80GB GPUs were needed—and why mid-range GPUs may now be enough.
Mar 30


Connecting Idle GPUs to Reduce AI Infrastructure Costs, The Challenge of Distributed Cloud Startup AIEEV
Connecting Idle GPUs to Reduce AI Infrastructure Costs, The Challenge of Distributed Cloud Startup AIEEV
Nov 23, 2025




EP3. Air Cloud: From Technology to Brand – Sharing Our Brand Guide
Air Cloud: From Technology to Brand – Sharing Our Brand Guide, BX GUIDE
Sep 27, 2025


Air Cloud at GITEX Europe
Showcasing the Future of Distributed AI Cloud. We’re thrilled to be part of GITEX EUROPE , the global startup exhibition spotlighting...
Aug 17, 2025


Wrapping Up CES 2025
At CES, we created a private Air Cloud on-site and delivered a live demo, highlighting the cost-effectiveness and reliability of our...
Aug 17, 2025


EP2. What Does a PRD Mean to a Service Planner? : Sharing Air Cloud’s PRD
기획자에게 PRD란 무엇일까? : Air Cloud의 PRD를 공유해드립니다.
Jul 7, 2025


EP1. How Did Air Cloud Come Into Being?
Hello! 🐥I’m Yuna, a service planner on AIEEV’s Business Team, where I’m continuing to grow through hands-on project experience. In this...
Jun 30, 2025
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