BuildingWorld Powered its AI Design Platform with AceCloud GPU Cloud
Custom NVIDIA GPU infrastructure and on-demand scaling for real-time AI rendering workloads.
Reduced Infra provisioning
RTX 6000 Pro deployed on demand
Object storage for AI workloads
Overview
BuildingWorld.ai required customized NVIDIA GPU infrastructure that could run its Docker-based AI workloads seamlessly alongside its existing AWS-hosted architecture.
Consistent GPU performance and a team that genuinely understands AI workloads
Use Case
Helps homeowners, builders, architects, contractors, dealers and brands discover, compare and procure materials digitally.
Is building an AI-powered real estate design platform for processing thousands of images and 3D home-design rendering workflows.
Challenges
Repeated downtime during critical production windows created direct customer impact and eroded internal confidence in the platform.
Most GPU clouds offered only standard configurations and couldn’t support BuildingWorld’s containerized, Docker-based deployment architecture.
Solutions
Instant RTX 6000 Pro GPU servers, optimized for image processing and 3D rendering.
300 TB of object storage configured for AI training data and rendering assets.
32 compute instances (200 vCPUs), Docker-ready and seamlessly interoperable with existing AWS infrastructure.
A named account manager who understands AI workloads. Real answers, not a ticket queue.
