Cases/Redpill

Redpill enables trustless AI model verification and data privacy with Phala

AI models (e.g., DeepSeek R1) are hosted in Phala's GPU-TEE using private-ml-sdk, ensuring encrypted data processing in isolated environments.

Generates remote attestation reports to confirm TEE authenticity, model integrity, and secure communication channels.

Offers direct API access to TEE-secured models, encrypting inputs/outputs end-to-end for privacy-critical applications.

Step-by-step SDK guides enable developers to compile, configure, and verify custom AI models within TEEs.

Users independently verify model security, addressing concerns about opaque data practices (e.g., CCP-linked AI).

Supports large models like DeepSeek R1 (70B params) with TEE-backed compute, balancing performance and privacy.

Tamper-proof TEE isolation meets stringent data sovereignty requirements for cross-border AI deployments.

Attestation proofs via Phala's explorer ensure transparency, critical for healthcare/finance use cases.

Redpill's API democratizes access to TEE-secured AI, enabling enterprises to adopt privacy-by-design inference.

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