🤖 AI runs on GPUs, NOT CPUs. Modern AI workloads—think LLMs, real-time inference—need massive parallelism. GPUs like NVIDIA’s H100 do that beautifully. But here's the harsh truth: once your data hits GPU memory, it's COMPLETELY exposed. GPU TEEs change the game. 🧵

1/🧵 Think of GPU TEEs as bulletproof vaults inside your graphics card. They keep your AI execution private, verifiable, and tamper-proof—even if the host OS is compromised. The best part? Near-zero performance overhead (<2% on large models). 😱

2/🧵 How does GPU TEE work? 🔒 Hardware Root of Trust burned into each chip 🔒 Secure boot with signed firmware 🔒 Encrypted CPU-GPU communication 🔒 Remote attestation to prove integrity 🔒 Zero visibility to host OS or hypervisor Full trust chain from silicon to software.

3/🧵 Phala dropped the world's first GPU TEE benchmarks last September. The results: 👊 <9% average performance loss 👊 Larger models = near-zero overhead 👊 20-25% longer startup (worth it for security) 👊 PCIe transfer is the only real bottleneck

4/🧵 Real talk: this solves MASSIVE problems in AI: 🏥 Healthcare AI on shared clusters (patient data stays encrypted) 🏦 Financial models that can't leak trading strategies 🔬 Federated learning without exposing raw datasets ⚖️ Regulatory compliance by design