Chen et al. demonstrate GPU acceleration of Fully Homomorphic Encryption (TFHE) for running LLM inference on encrypted data, addressing the key bottleneck of nonlinear layers (GELU, Softmax). Current FHE methods struggle with precision requirements for LLM inference; this work achieves high-precision computation on encrypted inputs using GPU parallelism. A practical step toward privacy-preserving cloud LLM deployment.