aion AI Infrastructure - Enterprise GPU cloud powering next-generation AI applications

Applied AI Research Lab

Production Scale: 88% of organizations use AI but only 7% at meaningful scale
Production Scale: 88% of organizations use AI but only 7% at meaningful scale

Layer 1

Hardware & Cluster

Active

Configuration and cluster efficiency profiling

Bandwidth analysis and bottleneck identification

Production deployment readiness assessment

Where it works, where it breaks, by how much

AI adoption statistics — illustrating the gap between AI experimentation and production deployment

aion

aion supports 100+ leading open-source and commercial-grade models across language, vision, and multimodal tasks. Models are continuously benchmarked and ranked on the aion serverless inference leaderboard, helping customers choose the best option for quality, latency, and cost.

Yes. aion offers serverless inference options that automatically scale with demand, making it easy to deploy production workloads without managing infrastructure.

Yes. aion supports custom model training and fine-tuning, optimization for cost, latency, and accuracy, and end-to-end pipeline design from data to production. FDEs work directly with your team to ensure models are production-ready.

aion's FDEs embed directly with customer teams to architect training and inference pipelines, optimize models and infrastructure, integrate aion into existing systems, and accelerate time-to-production. They operate as an extension of your engineering organization.

FDE engagements are priced based on scope, duration, and technical complexity. This flexible model ensures customers pay only for the level of support they need—without long-term consulting lock-ins.