Platform

Distributed compute infrastructure for focused AI workloads.

Ameron Cloud coordinates opt-in compute resources across underutilized infrastructure, regular laptops, and eligible consumer devices for compact model training, evaluation, deployment, and monitoring. The platform is designed for teams that need technical control without depending entirely on a single centralized cloud provider.

Workload Definition

Specify data boundaries, architecture goals, evaluation criteria, and compute requirements before routing.

Verified Compute

Coordinate approved workloads across participating devices, local fleets, and infrastructure providers.

Deployment Control

Move trained models into private environments, APIs, and tailored workflows with visibility into performance.