Scalable Models. Cloud Native AI.
Cloud machine learning removes the hardware constraints of AI development, providing access to scalable compute resources that can train, deploy and serve models at any scale. Ikaroa manages the full cloud ML lifecycle, from environment setup to production model serving.
What We Deliver
Our cloud ML services include cloud ML environment setup and configuration, model training and hyperparameter optimisation, model deployment and serving infrastructure, auto scaling and cost optimisation, monitoring and alerting for model performance, and CI/CD pipelines for ML model updates.
Cloud Platforms
We deploy on all major cloud platforms including Amazon Web Services (SageMaker, Bedrock), Google Cloud Platform (Vertex AI) and Microsoft Azure (Azure ML). We select the platform that best matches your existing infrastructure, security requirements and cost constraints.
Cost Management
Cloud ML costs can escalate quickly without proper management. We design cost efficient architectures that use spot instances, auto scaling, model compression and other optimisation techniques to keep compute costs under control while maintaining performance.
Discuss Your Requirements
Let us understand your challenges and show you how our team can help.
Get in Touch