Nvidia 5090 and 90 Tokens/Sec: Vitalik’s New Definition of "Usable AI"
When discussing Local AI, the biggest hurdle has always been performance. Many accept the privacy trade-off for the speed of cloud services. However, Vitalik Buterin has demonstrated that with sufficiently powerful hardware, a "Local-first" experience can fully replace online tools. #Colecolen
After multiple tests, Vitalik prefers using a laptop with an Nvidia 5090 GPU, hitting 90 tokens per second with the Qwen3.5:35B model. According to him, this is the speed threshold that makes AI truly feel "usable" for daily tasks. The focus is not just on hardware power, but on the optimization mindset: using static data (like locally stored Wikipedia) to avoid information leaks via search queries. This is a vital suggestion for Web3 builders: the future of AI does not lie in connecting to centralized APIs, but in bringing computing power as close to the user as possible without sacrificing privacy. $ETH $HOLO $GIGGLE
