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Phase 2: Build & Migrate

Workload starter

For new AI/ML workloads that haven't been built yet. ISC engineers work through discovery, architecture design, and produce a detailed implementation blueprint.

Overview

The Workload Starter is for customers with new AI/ML workload ideas that have not yet been built. ISC engineers work through discovery, requirements gathering, architecture design, and produce a detailed implementation plan that becomes the blueprint for the Workload Accelerator phase.

What you get

  • Workload architecture document
  • Infrastructure design for PaletteAI deployment
  • Implementation plan with phases and milestones
  • Resource requirements and cost estimate
  • Technology stack recommendations
Quick facts
Pricing: $10,000 per workload
Prerequisite: Implementation completed
Leads into: Workload Accelerator

How it works

Discovery

Interview your data science team, document the ML problem, assess any existing PoC or prototype.

Architecture design

Design target architecture on PaletteAI, select Cluster Profile stack, plan MLOps pipeline.

Implementation plan

Design target architecture on PaletteAI, select Cluster Profile stack, plan MLOps pipeline.

Review & handover

Present to stakeholders, deliver documentation, scope the Accelerator engagement.

Deliverables

  • Workload architecture document
  • Infrastructure design document
  • Phased implementation plan with milestones
  • Resource and cost estimate
  • Technology stack recommendation with rationale
  • Accelerator engagement scope document

Who it's for

This service is for data science and ML teams that have a workload idea or a proof-of-concept but need expert guidance to design a production-ready architecture on PaletteAI.

It's also the right starting point if your team is new to Kubernetes-based AI infrastructure and wants a clear blueprint before committing to a full build.

Design your next AI workload

Got a workload idea? The Starter gives you a production-ready design. Contact us to get started.