Full implementation of new AI workloads on PaletteAI, taking the Starter blueprint through build, test, and production deployment.
The Workload Accelerator follows a completed Workload Starter and handles the actual implementation of new AI/ML workloads on PaletteAI. ISC engineers build, deploy, optimize, and hand over production-ready workloads following the design from the Starter phase.
Environment preparation
Set up the target environment based on the Starter blueprint. Configure Cluster Profiles, namespaces, and resource quotas.
Workload Build & Deploy
Build the workload following the architecture design. Deploy to non-production, validate functionality, optimize GPU utilization.
Testing & optimization
Run performance benchmarks, validate monitoring and alerting, optimize resource allocation and costs.
Handover
Production deployment, documentation delivery, team enablement session, and transition to ongoing support.
The Accelerator is for teams that have completed a Workload Starter and are ready to move from design to production. It's ideal for organizations that want ISC engineers to handle the build while their team focuses on the data science.
Your data scientists and platform engineers participate throughout to ensure full knowledge transfer.
The Accelerator takes your Starter design and makes it production-ready. Contact us to scope your build.
