together-gpu-clusters
Together GPU Clusters
Overview
Use Together AI GPU clusters when the user needs infrastructure control instead of a managed inference product.
Typical fits:
- distributed training
- multi-node inference
- HPC or Slurm workloads
- custom Kubernetes jobs
- attached shared storage and cluster lifecycle management
When This Skill Wins
- Provision a cluster and manage it over time
- Choose between on-demand and reserved capacity
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