Runpod independently verified as meeting HIPAA and GDPR standards

Runpod, the leading AI cloud platform serving over 500,000 developers worldwide, today announced it has been independently audited and verified as meeting the standards set forth by HIPAA (Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation). This milestone enables healthcare organizations, enterprises handling sensitive patient data, and companies serving European markets to build, train, and deploy AI models on Runpod's globally distributed GPU infrastructure with enhanced security and privacy protections.

As artificial intelligence increasingly transforms healthcare through diagnostic imaging, drug discovery, clinical decision support, and personalized medicine, the need for compliant infrastructure has become critical. Runpod's HIPAA compliance ensures that healthcare organizations and their partners can confidently process Protected Health Information (PHI) while training and deploying AI models on the platform's high-performance GPU infrastructure.‍

Why Compliance Matters for AI Cloud Providers

‍Unlike traditional cloud computing, AI workloads present unique compliance challenges. Training machine learning models requires processing vast amounts of data – often including sensitive patient records, medical images, genetic information, and personal identifiers. AI cloud providers must ensure that:

• Data is encrypted in transit and at rest throughout the training and inference pipeline
• Access controls and audit trails track who can view or modify sensitive datasets
• Data residency requirements are met for international privacy regulations
• Business Associate Agreements (BAAs) can be executed for HIPAA-covered entities
• Data processing agreements comply with GDPR's strict requirements for EU citizen data

Runpod's GDPR compliance also enables European organizations and companies serving EU customers to leverage the platform's cost-effective GPU infrastructure while meeting stringent data protection requirements, including data subject rights, processing transparency, and cross-border data transfer safeguards.

‍About Runpod

‍Runpod is the AI cloud platform that simplifies building, training, and deploying machine learning models at scale. With over 500,000 developers and $120M in annual recurring revenue, Runpod provides cost-effective, high-performance GPU infrastructure through two core products: GPU Pods for dedicated compute and Serverless for auto-scaling API endpoints. Founded in 2022 and backed by Intel Capital and Dell Technologies Capital, Runpod serves AI developers, startups, research institutions, and Fortune 500 companies worldwide. Learn more at www.runpod.io.

Note: Compliance certifications apply at the platform level. Data center compliance may vary. When deploying a Pod or Cluster, users can filter for data centers that meet their specific compliance requirements using the Security & compliance filter under Additional filters at console.runpod.io/deploy or console.runpod.io/cluster/create.