Sold by: Automat-it LTD
Migrate AI and ML workloads to AWS with reduced risk and faster time-to-production. Automat-it’s AI Migrations service moves inference endpoints, training pipelines, and LLM applications from third-party providers to Amazon SageMaker, Amazon EKS, and Amazon Bedrock. Backed by AWS AI and Migration Competencies and 800+ startup engagements.
Overview
Automat-it’s AI & LLM Migration Accelerator: Third-Party to AWS service provides a structured, low-risk path for moving existing AI/ML workloads to AWS.
Running AI workloads on third-party GPU providers or non-AWS model APIs creates dependency risks: unpredictable pricing, limited integration with your broader cloud infrastructure, and vendor lock-in that restricts architectural choices. As workloads scale, these constraints compound, making migration more complex and costly the longer you wait.
Automat-it’s AI & LLM Migration Accelerator: Third-Party to AWS service covers the full migration scope: inference endpoints running on providers like RunPod or CoreWeave migrate to Amazon SageMaker or Amazon EKS; LLM-based applications using OpenAI or other third-party APIs transition to Amazon Bedrock; and ML serving frameworks such as Seldon Core, KServe, or TorchServe are re-platformed to AWS-native equivalents.
The migration process uses AWS-native services including Amazon SageMaker for model hosting and training, Amazon Bedrock for foundation model access, Amazon EKS for containerized inference, and AWS Application Migration Service for workload discovery and planning. Each migration includes workload assessment, model compatibility validation, prompt adaptation for LLM migrations, performance benchmarking, and production cutover with rollback procedures.
Automat-it holds both the AWS AI Competency and the AWS Migration Competency, making it one of a small number of AWS partners with validated expertise in both domains. The team has completed AI migrations for customers including Umbrella (OpenAI to Amazon Bedrock, achieving 30% improvement in classification performance) and BetterPic (50% GPU cost reduction through inference optimization). With 500+ AWS certifications and 150+ engineers focused exclusively on AWS, Automat-it brings deep specialization to every migration engagement.
The engagement starts with a workload assessment to map your current AI infrastructure, identify dependencies, and define the target AWS architecture. From there, Automat-it’s engineers execute the migration in phases, validating model performance at each stage against your production baselines. Post-migration, you receive full knowledge transfer and documentation, or can transition to Automat-it’s 24/7 managed services for ongoing operations.
Highlights
- Migrate AI inference from third-party GPU providers (RunPod, CoreWeave) to Amazon SageMaker or Amazon EKS, and transition LLM applications from OpenAI to Amazon Bedrock. Reduce vendor lock-in while gaining native integration with your AWS infrastructure. Backed by Automat-it’s AWS AI Competency and Migration Competency.
- Cut AI infrastructure costs through migration optimization. Customers have achieved up to 50% GPU cost reduction (BetterPic) and 30% improvement in model classification performance (Umbrella) after migrating to AWS-native AI services with Automat-it.
- Production-grade migration methodology with zero-downtime cutover options. Every migration includes workload assessment, model compatibility validation, performance benchmarking against production baselines, and rollback procedures. Delivered by 150+ AWS-certified engineers with experience across 800+ startup engagements.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.