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Confidential AI Examples

Run AI workloads with hardware-enforced privacy. Your prompts, model weights, and computations stay encrypted in memory.

Example Description Status
inference Private LLM with response signing Ready to deploy
training Fine-tuning on sensitive data Requires local build
agents AI agent with TEE-derived keys Requires local build

Start with inference—it deploys in one command and shows the full attestation flow.

cd inference
phala auth login
phala deploy -n my-llm -c docker-compose.yaml \
  --instance-type h200.small \
  -e TOKEN=your-secret-token

First deployment takes 10-15 minutes (large images + model loading). Check progress with phala cvms serial-logs <app_id> --tail 100.

See the Confidential AI Guide for how the security model works.