[D] I need to vectorize 100tb+ of data, multiple GPU's per machine or multiple machines?

TLDR: Is it ok to use two 4070ti's in a machine if all you need is more cuda cores to create embeddings and don't care about memory capacity, i.e. not for LLM's

**Background**

I have 20tb of text data (size in mongo) and 80tb of images (stored at 800x600-800) on my homelab on ssd's which i'm in the process of vectorizing and creating embeddings for. I have a 3090 with two python scripts, each script does the same thing, fetches …

capacity cuda data embeddings gpu llm machine machinelearning machines memory multiple per text vectorize