Vendors · Comparison
Hugging Face Inference Endpoints vs Together AI
Side-by-side comparison of Hugging Face Inference Endpoints and Together AI for single-tenant LLM hosting. Deployment options, compliance, pricing, and operational fit compared.
Hugging Face Inference Endpoints
Deploys Hub models on managed instances across AWS, Azure, and GCP with public, protected, or private (intra-region AWS/Azure PrivateLink) access. Vendor docs state SOC 2 Type 2 certification and a GDPR DPA via Enterprise Hub subscription, and that payloads are not stored (logs kept 30 days). Privacy policy: data may be stored in the US.
Together AI
Dedicated endpoints are explicitly single-tenant GPU instances with public per-hour pricing. Terms of service make no geographic storage commitment, so residency guarantee is recorded as none.
From the data
Key differences
- Category Hugging Face Inference Endpoints is a Managed self-host offering; Together AI is Dedicated GPU.
- Compliance Both document SOC 2 Type II. Only Hugging Face Inference Endpoints documents GDPR DPA. Only Together AI documents HIPAA BAA.
- Data residency Hugging Face Inference Endpoints's residency guarantee is not verified; Together AI offers no residency guarantee (verified).
- Jurisdiction Both parent companies are under US jurisdiction.
- Pricing Hugging Face Inference Endpoints: Per instance-hour (CPU, GPU, and accelerator instances); dedicated inference from $0.033/hour (published pricing). Together AI: Per 1M tokens serverless; per GPU-hour for dedicated endpoints and clusters (published pricing).
Generated from the verified vendor data below; sources and dates on each vendor profile.
Side by side
Capabilities compared
| Hugging Face Inference Endpoints | Together AI | |
|---|---|---|
| Category | Managed self-host | Dedicated GPU |
| Deployment models | Dedicated endpointsPublic endpointProtected endpointPrivate endpoint (PrivateLink) | ServerlessDedicated endpointGPU clusters |
| Regions | US, Europe | Not verified |
| Compliance | SOC 2 Type IIGDPR DPA | SOC 2 Type IIHIPAA BAA |
| Pricing model | Per instance-hour (CPU, GPU, and accelerator instances); dedicated inference from $0.033/hour | Per 1M tokens serverless; per GPU-hour for dedicated endpoints and clusters |
| Public pricing | Yes | Yes |
| Residency guarantee | Not verified | No |
| Parent jurisdiction | US | US |
| Analyst note | Deploys Hub models on managed instances across AWS, Azure, and GCP with public, protected, or private (intra-region AWS/Azure PrivateLink) access. Vendor docs state SOC 2 Type 2 certification and a GDPR DPA via Enterprise Hub subscription, and that payloads are not stored (logs kept 30 days). Privacy policy: data may be stored in the US. | Dedicated endpoints are explicitly single-tenant GPU instances with public per-hour pricing. Terms of service make no geographic storage commitment, so residency guarantee is recorded as none. |
Where they diverge
Deployment differentiation
Only Hugging Face Inference Endpoints
Both
No overlap in deployment models.
Only Together AI
Read the full profiles