How to find the sweet spot between cost and performance

Google Cloud helps customers find the balance between cost and performance for generative AI. The key is choosing the right combination of tools and services that align with workload patterns. Start with Pay-As-You-Go (PayGo) models and layer on specialized options to build a cost-effective strategy. Understand the mechanisms that govern performance and availability, such as Dynamic Shared Quota (DSQ) and Usage Tiers. This will help you find the sweet spot on the efficient frontier between cost and performance.

Source →
FeedLens — Signal over noise Last 7 days