Modal

Serverless GPU compute platform for AI model training, inference, and data pipelines

Hugging Face Inference

World's largest open-model hub with managed inference endpoints for any model

Modal

Caution

9/25

Hugging Face Inference

Strong

17/25

Score Breakdown

DimensionModalHugging Face Inference

Data Residency

Where is your data stored and processed?

Modal: US-only infrastructure. No EU data centre options. Not suitable for GDPR personal data processing without SCCs and TIA.

Hugging Face Inference: Inference Endpoints support EU data centre regions (AWS, Azure, GCP EU zones). Model inference can be kept within the EU for enterprise customers. Free shared inference API uses US infrastructure. Score reflects Inference Endpoints product.

1/5

US-only infrastructure. No EU data centre options. Not suitable for GDPR personal data processing without SCCs and TIA.

4/5

Inference Endpoints support EU data centre regions (AWS, Azure, GCP EU zones). Model inference can be kept within the EU for enterprise customers. Free shared inference API uses US infrastructure. Score reflects Inference Endpoints product.

Legal Jurisdiction

Which laws govern the company and your data?

Modal: Delaware incorporation, US jurisdiction, CLOUD Act applies. Basic GDPR privacy documentation. No EU subsidiary.

Hugging Face Inference: US incorporation (Delaware) means CLOUD Act applies despite EU data residency options. GDPR DPA available for enterprise customers. EU-US Data Privacy Framework participation. Jurisdiction risk is mitigated but not eliminated by EU data centre options.

2/5

Delaware incorporation, US jurisdiction, CLOUD Act applies. Basic GDPR privacy documentation. No EU subsidiary.

3/5

US incorporation (Delaware) means CLOUD Act applies despite EU data residency options. GDPR DPA available for enterprise customers. EU-US Data Privacy Framework participation. Jurisdiction risk is mitigated but not eliminated by EU data centre options.

Data Retention & Training

Is your data used for model training?

Modal: Customer compute workloads are isolated and not used for shared training. Workload outputs are customer-controlled. Data governance documentation is lighter than enterprise-focused providers.

Hugging Face Inference: Inference Endpoints: request data stays in the customer's isolated endpoint; not used for shared model training. Hub: public model and dataset uploads are public by default. Enterprise DPA provides configurable retention controls.

3/5

Customer compute workloads are isolated and not used for shared training. Workload outputs are customer-controlled. Data governance documentation is lighter than enterprise-focused providers.

4/5

Inference Endpoints: request data stays in the customer's isolated endpoint; not used for shared model training. Hub: public model and dataset uploads are public by default. Enterprise DPA provides configurable retention controls.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

Modal: No published independent certifications. Developer-focused startup with self-attested security practices. Not yet suitable for regulated industry enterprise procurement.

Hugging Face Inference: Holds SOC 2 Type II certification. ISO 27001 in progress. Strong certifications trajectory for a company of its size and stage. Enterprise customers benefit from cloud provider security certifications (AWS, Azure, GCP) for endpoint infrastructure.

1/5

No published independent certifications. Developer-focused startup with self-attested security practices. Not yet suitable for regulated industry enterprise procurement.

3/5

Holds SOC 2 Type II certification. ISO 27001 in progress. Strong certifications trajectory for a company of its size and stage. Enterprise customers benefit from cloud provider security certifications (AWS, Azure, GCP) for endpoint infrastructure.

Regulatory Fit

Suitability for regulated industries and professional services

Modal: Suited to AI developers and startups building non-personal-data workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries. Good for R&D and prototyping contexts.

Hugging Face Inference: Good fit for EU enterprises using Inference Endpoints with EU data centre regions. US jurisdiction and developing certification portfolio mean additional due diligence is required for strictly regulated industries. One of the better US-based options for EU-sovereign open-source inference.

2/5

Suited to AI developers and startups building non-personal-data workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries. Good for R&D and prototyping contexts.

3/5

Good fit for EU enterprises using Inference Endpoints with EU data centre regions. US jurisdiction and developing certification portfolio mean additional due diligence is required for strictly regulated industries. One of the better US-based options for EU-sovereign open-source inference.

Total Score

9/25

17/25

Best For

Modal

Best for privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget; enterprises requiring SSO integration.

Hugging Face Inference

Best for teams on a tight budget.

Detailed Comparison

Hugging Face Inference vs Modal: Trust & Compliance Comparison

Hugging Face Inference (Hugging Face, US) scores 17/25 overall with a Silver (Strong) trust badge. World's largest open-model hub with managed inference endpoints for any model. Modal (Modal Labs, US) scores 9/25 with a Review Required (Caution) trust badge. Serverless GPU compute platform for AI model training, inference, and data pipelines.

Dimension-by-Dimension Breakdown

#### Data Residency

Hugging Face Inference leads with 4/5 vs 1/5.

●Hugging Face Inference (4/5): Inference Endpoints support EU data centre regions (AWS, Azure, GCP EU zones). Model inference can be kept within the EU for enterprise customers. Free shared inference API uses US infrastructure. Score reflects Inference Endpoints product.

●Modal (1/5): US-only infrastructure. No EU data centre options. Not suitable for GDPR personal data processing without SCCs and TIA.

#### Legal Jurisdiction

Hugging Face Inference leads with 3/5 vs 2/5.

●Hugging Face Inference (3/5): US incorporation (Delaware) means CLOUD Act applies despite EU data residency options. GDPR DPA available for enterprise customers. EU-US Data Privacy Framework participation. Jurisdiction risk is mitigated but not eliminated by EU data centre options.

●Modal (2/5): Delaware incorporation, US jurisdiction, CLOUD Act applies. Basic GDPR privacy documentation. No EU subsidiary.

#### Data Retention & Training

Hugging Face Inference leads with 4/5 vs 3/5.

●Hugging Face Inference (4/5): Inference Endpoints: request data stays in the customer's isolated endpoint; not used for shared model training. Hub: public model and dataset uploads are public by default. Enterprise DPA provides configurable retention controls.

●Modal (3/5): Customer compute workloads are isolated and not used for shared training. Workload outputs are customer-controlled. Data governance documentation is lighter than enterprise-focused providers.

#### Certifications

Hugging Face Inference leads with 3/5 vs 1/5.

●Hugging Face Inference (3/5): Holds SOC 2 Type II certification. ISO 27001 in progress. Strong certifications trajectory for a company of its size and stage. Enterprise customers benefit from cloud provider security certifications (AWS, Azure, GCP) for endpoint infrastructure.

●Modal (1/5): No published independent certifications. Developer-focused startup with self-attested security practices. Not yet suitable for regulated industry enterprise procurement.

#### Regulatory Fit

Hugging Face Inference leads with 3/5 vs 2/5.

●Hugging Face Inference (3/5): Good fit for EU enterprises using Inference Endpoints with EU data centre regions. US jurisdiction and developing certification portfolio mean additional due diligence is required for strictly regulated industries. One of the better US-based options for EU-sovereign open-source inference.

●Modal (2/5): Suited to AI developers and startups building non-personal-data workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries. Good for R&D and prototyping contexts.

Certifications at a Glance

Certification	Hugging Face Inference	Modal
SOC 2 Type II	Yes	No

Overall Verdict

Hugging Face Inference has a clear trust advantage, scoring 17/25 compared to Modal's 9/25. Hugging Face Inference particularly excels in data residency, legal jurisdiction, data retention & training, certifications, regulatory fit.

Frequently Asked Questions

Which is better for EU compliance, Modal or Hugging Face Inference?

Modal has a TrustKit score of 9/25 while Hugging Face Inference scores 17/25. Hugging Face Inference currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do Modal and Hugging Face Inference compare on data residency?

Modal scores 1/5 for data residency (US-only infrastructure. No EU data centre options. Not suitable for GDPR personal data processing without SCCs and TIA.), while Hugging Face Inference scores 4/5 (Inference Endpoints support EU data centre regions (AWS, Azure, GCP EU zones). Model inference can be kept within the EU for enterprise customers. Free shared inference API uses US infrastructure. Score reflects Inference Endpoints product.).

Are Modal and Hugging Face Inference GDPR compliant?

Both tools are assessed across five compliance dimensions. Modal has a regulatory fit score of 2/5 and Hugging Face Inference scores 3/5. Check the full comparison above for a detailed breakdown.

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Hugging Face Inference

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