Multi-Instance GPU (MIG) Configuration
- Objective
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Learn how to partition GPUs into isolated instances to maximize hardware utilization and reduce per-workload costs.
As a platform engineer, you need to maximize GPU return on investment. Multi-Instance GPU (MIG) allows you to partition a single physical GPU into multiple isolated instances, each with dedicated compute resources and memory. This chapter provides practical frameworks for deciding when to use MIG and how to configure it.
This chapter contains three focused sections:
- Section 1: MIG Fundamentals (20 min reading)
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Learn what MIG is, when to use it, how to select profiles, and how to enable it in Kubernetes. Understand the difference between Single and Mixed advertisement strategies.
- Section 2: (Lab) MIG Configuration (35 min hands-on)
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Configure MIG profiles on GPU nodes, deploy multi-tenant workloads with hardware isolation, and troubleshoot common configuration issues.
- Section 3: Conclusion and Knowledge Check (10 min reading)
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Validate your MIG expertise through production scenarios covering strategy selection, profile planning, reconfiguration, and debugging.
What’s Next
Ready to start? Begin with Section 1: MIG Fundamentals to learn when MIG provides ROI and how to plan your configuration.