AI deployment
2 posts
Article
One billion fire, eight billion sit in memory
Liquid AI's 8B-A1B MoE frees compute and latency, not memory. How to match sparse-model architecture to the real constraint in your deployment.
Article
Better AI isn't what separates winning deployments.
Stanford studied 51 AI deployments and found a 71 vs 40 productivity gap. The difference was pipeline design, not model choice.