GPU Clusters
Scale from self-serve instant clusters to thousands of GPUs, all optimized for better performance with Together Kernel Collection.
What it does
Scale from self-serve instant clusters to thousands of GPUs, all optimized for better performance with Together Kernel Collection.
- Inference
- Fine-tuning
- GPU clusters
- Model shaping
- Pre-training
- Category
- Compute and accelerators
- Users
- AI-native teams, Enterprise developers, Production AI workloads
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
- Free plan$0
- Usage-based$1.99/hour
- Per hour for preemptible NVIDIA HGX H100
- On-demand H100 $3.99 per GPU per hour
- And reserved capacity
Free trial on paid plans
Prices as published by Together AI, checked Oct 2026.
Security and compliance
As reported by Together AI. Ask for audit reports before you buy.
- SOC 2 Type IICompliant
- Zero data retention (ZDR): Together does not store inputs or outputs by default; temporary caching may be used for performance unless otherwise configured.
- Training opt-in: Data sharing for training other models is opt-in and not enabled by default; configurable in Organization Settings under Privacy.
- Organization-level privacy toggles: Admins can control storing prompts/responses, allowing data for training, and allowing passthrough models.
- Passthrough model isolation: Non-passthrough models run on Together's own infrastructure with no call-out to model authors; passthrough is a separate organization-level toggle.
- VPC-based deployments and private networking available for enterprise customers.
- OIDC authentication supported for GPU Clusters.
- Single sign-on (SSO) listed under Administration features.
Reviews
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