From the article: > Huang also revealed ‘Project Digits,’ a new product based on its Grace Blackwell AI-specific architecture that aims to offer at-home AI pro

From the article: > Huang also revealed ‘Project Digits,’ a new product based on its Grace Blackwell AI-specific architecture that aims to offer at-home AI processing capable of running 200 billion-parameter models locally for a projected retail cost of around $3,000. > There are many exciting things about Project Digits, including the fact that two can be paired to offer 405 billion-parameter model support for ‘just’ $6,000 My experience with running local LLMs is quite limited, but most tools can split the workload between GPUs (or more commonly GPU+CPU) with minimal fuss. It parallelizes fairly well. There may not be any actual secret sauce beyond just having the necessary gobs and gobs of fast memory to load the model into.