Prototyping open source models? Easy. Scaling them? That's where reality hits.
Memory walls kick in hard beyond 7B parameters. Fine-tuning runs cost $1k-$12k each on cloud infra. Multi-node training? You're basically rewriting your entire framework.
Most AI projects die in this gap between prototype and production. Not because the model sucks, but because the infrastructure complexity explodes faster than most teams can handle.
Memory walls kick in hard beyond 7B parameters. Fine-tuning runs cost $1k-$12k each on cloud infra. Multi-node training? You're basically rewriting your entire framework.
Most AI projects die in this gap between prototype and production. Not because the model sucks, but because the infrastructure complexity explodes faster than most teams can handle.