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Phala Cloud

Phala Cloud

Zero-trust cloud for safe AGI

Overview

What it is

Build and run safe AGI on Phala Cloud— a zero-trust confidential compute platform for AI teams. Spin up TEE CPU & GPUs in seconds, keep AI encrypted end-to-end. Get 30 days of free credits on launch.

Intent

I need it when

Deploy private AI inference workloads with cryptographic proof of execution

Phala Cloud runs LLM models and AI agents inside hardware-backed TEEs (Intel TDX + NVIDIA CC) with verifiable attestations. Users can prove to auditors, regulators, or downstream systems exactly what code ran and what data was processed, without exposing secrets or relying on provider trust claims.

Reduce compliance costs while maintaining model accuracy in regulated industries

Phala Cloud enables financial services and healthcare organizations to process sensitive data with AI while maintaining regulatory compliance. Attestations reduce compliance overhead by providing cryptographic proof of data isolation and code integrity, lowering audit costs and accelerating approval cycles.

Build enterprise AI SaaS with regulatory compliance (HIPAA, GDPR, SOC 2)

Phala Cloud is SOC 2 Type I certified, HIPAA compliant, and GDPR-aligned. Sensitive customer data and AI models execute in isolated, encrypted environments with hardware-level isolation. Attestations provide audit trails and compliance evidence, enabling enterprises to land Fortune 500 clients requiring verifiable data protection.

Run existing Docker applications securely without rewriting code

Phala Cloud accepts Docker Compose workloads via CLI deployment. Developers deploy familiar containerized apps (supporting TensorFlow, PyTorch, Hugging Face) into Confidential VMs with minimal changes. Runtime remains verifiable through attestations while preserving existing deployment workflows.

Access private LLM APIs with transparent pricing and no vendor lock-in

Phala Cloud offers OpenAI-compatible LLM endpoints (Qwen, DeepSeek, Gemma, Kimi) with encrypted prompts and verifiable runtime state. Pricing is transparent and per-token ($0.12–$1.50/M tokens depending on model). Users can verify execution without trusting Phala's claims.

Drop

Not a fit when

  • User requires traditional cloud infrastructure without hardware-backed security or attestation requirements
  • Organization needs long-term reserved capacity with fixed monthly costs rather than pay-as-you-go hourly billing
  • Workload does not involve sensitive data, private AI inference, or regulatory compliance requirements (HIPAA, GDPR)
  • User lacks Docker containerization experience or cannot refactor existing applications into Docker Compose format
  • Application requires GPU models other than NVIDIA H100, H200, or B300, or Intel TDX CPU support is unavailable in target region
Commercials

Pricing

USD0.06 - USD5.6 / monthly View pricing