How do we scale GPU infrastructure for our needs?
Right-sizing your GPU fleet saves costs and time.
How It Works:
Use container orchestration (Kubernetes) with GPU auto-provisioning and spot instance strategies to match capacity to demand dynamically.
Key Benefits:
- Cost efficiency: Leverage spot or preemptible GPUs.
- Elasticity: Scale up during training, scale down when idle.
- Unified management: Central dashboard for usage and billing.
Real-World Use Cases:
- Model experimentation: Spin up GPUs per project.
- Batch processing: Schedule large-scale inference jobs overnight.
FAQs
How monitor GPU utilization?
What about multi-tenant setups?
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