You Don’t Need a Massive ML Team to Scale AI Affordably

As generative AI applications mature, engineering teams are finding that standard API endpoints often fall short on cost and performance. Companies increasingly need to customize and scale their own AI workloads to remain efficient. A recent engineering blog post from Notion illustrates this shift perfectly. To handle billions of vector embeddings, Notion overhauled its infrastructure