AI Platform Migration (GCP to AWS)

Many AI platforms running on GCP are functional but architecturally inefficient. Migration to AWS is a meaningful opportunity to reduce cost and rebuild on purpose-built infrastructure. New Math executes a structured, phased migration that minimizes operational disruption.

• Cost comparison and feasibility assessment comparing GCP and AWS infrastructure
• Target architecture using S3 Vectors, alongside Bedrock and SageMaker for model serving and inference
• Wave and cutover planning using a data-first, dual read/write approach
• Full migration of AI workloads, models, pipelines, and inference from GCP VertexAI to AWS
• Observability, security, and workflow integrations configured for production

Key Benefits:

• Material cost reduction: comparable migrations achieve a fraction of original GCP costs
• Low-disruption cutover through phased wave planning
• Production-ready AWS implementation with purpose-built architecture from day one

Best For:

Mid-to-large companies running a live AI platform on GCP VertexAI where the migration decision has been made. Works best when the platform is cost-inefficient or architecturally unoptimized.

Timeline: 4 to 10 weeks. Pricing: Scoped per engagement. Contact us.