Multi-region cloud platforms
Infrastructure as Code, automated pipelines, containers, GPU workloads, observability and DR on AWS, Azure or Google Cloud.
AI Product Companies
GPU/CPU platforms, model serving, MLOps and production scaling on AWS, Azure or OpenShift.
03 / Industry
Overview
AI product teams need to ship models, not run infrastructure. Cloudlit provides the production foundation: cloud platforms, GPU capacity, Kubernetes, pipelines, observability and multi-region resilience, so engineering effort goes into the product.
What gets in the way
- GPU capacity that is expensive, scarce and hard to schedule
- Enterprise customers demanding sovereign or on-premise deployment
- Multi-region resilience and disaster recovery
- Security questionnaires and compliance for enterprise sales
How Cloudlit helps
Sovereign deployment options
Packaging the product to run on OpenShift inside customer data centres with secure registries and managed operations.
GPU and CPU pools
Scheduling, quotas and cost controls across training and inference workloads.
Operations as a service
24×7 monitoring and incident response so a small team can support enterprise customers.
In production
AI Workforce · AWS
Production-grade multi-region AWS platform.
A multi-region AWS platform for Teammates.ai covering infrastructure as code, automated pipelines, containers, security, GPU workloads, observability and disaster recovery.
Read the case study →AI Platform · SovereignA sovereign infrastructure layer for an AI operating system.
Cloud infrastructure for wAI Industries' Alara OS using Red Hat OpenShift and Kubernetes, GPU and CPU pools, secure registries, sovereign on-premise deployment and managed operations. Cloudlit is Premium AI Delivery Partner to wAI Industries, providing the infrastructure layer for AI platform deployments in banking.
Read the case study →Infrastructure for AI Product Companies should be engineered for what comes next.
Cloudlit brings architecture, platform engineering, security and operations together so enterprise teams can move from complexity to a controlled production environment.