Multi-cloud AI infrastructure in action with Nebius and dstack
Join us to explore how modern ML teams run large-scale training across multiple clouds — seamlessly and cost-efficiently.
This session shows how dstack orchestrates GPU workloads on Nebius infrastructure to accelerate experimentation, control spend, and stay vendor-neutral.
You’ll learn how to:
- Understand why GPU container orchestration matters — and what’s beyond Kubernetes and Slurm.
- Deploy your first distributed training job on Nebius (live walkthrough).
- Apply cost-optimization strategies for efficient GPU utilization.
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