Anyscale Professional Services

Overview

Accelerate your journey to scalable AI with Anyscale Professional Services. Our dedicated experts work alongside your team to design, implement, and optimize distributed AI applications using Ray and Anyscale on Microsoft Azure. Whether you’re onboarding new workloads, optimizing cost and performance, or enabling production-grade ML operations, we help your teams deliver faster, more efficiently, and with confidence.

Key Outcomes

• Accelerate onboarding and skill ramp-up on Ray and Anyscale
• Deploy scalable AI and ML workloads optimized for Azure infrastructure
• Improve cost-efficiency, reliability, and observability across workloads
• Empower data scientists, engineers, and MLOps teams with reusable patterns and best practices

Example Focus Areas

For Data Scientists & ML Engineers:

• Data ingestion and distributed ETL
• Scalable model training and hyperparameter tuning
• Batch and online inference
• Experiment tracking and reproducibility

For Platform & MLOps Engineers:

• Cluster setup, autoscaling, and deployment automation
• CI/CD and orchestration tooling integration
• Observability and reliability engineering
• Cost management and governance controls

Engagement Model

Each engagement begins with a discovery session to align on goals, current environment, and desired outcomes. Anyscale then delivers a Statement of Work (SOW) that defines scope, deliverables, and timeline based on customer needs.

• Effort: Custom
• Pricing: Custom, based on SOW
• Delivery: Remote or on-site

Customer Benefits

• Embedded expertise from Anyscale-certified engineers
• Accelerated project delivery and reduced operational complexity
• Guidance and enablement to achieve end-to-end AI outcomes on Azure
• Scalable architectures designed for production success