[Vitalik Shares Local Private LLM Solution, Emphasizing Privacy and Security First] Odaily Planet Daily News: Vitalik Buterin published an article sharing his localized and privatized LLM deployment plan as of April 2026. The core goal is to prioritize privacy, security, and autonomy, minimizing the exposure of personal data to remote models and external services. This is achieved through methods such as local inference, local file storage, and sandbox isolation to reduce risks of data breaches, model jailbreaks, and malicious content exploitation. In terms of hardware, he tested solutions including laptops equipped with NVIDIA 5090 GPUs, AMD Ryzen AI Max Pro devices with 128 GB unified memory, and DGX Spark. He conducted local inference using Qwen3.5 35B and 122B models. Among these, the 5090 laptop achieved approximately 90 tokens/s with the 35B model, the AMD solution around 51 tokens/s, and DGX Spark about 60 tokens/s. Vitalik expressed a preference for building a local AI environment based on high-performance laptops, while utilizing tools such as llama-server, llama-swap, and NixOS to construct the overall workflow.