EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 10·5 min read
Watch out for cache read costs
TL;DR
Cache read costs are becoming a significant factor in the pricing of agentic workloads, overshadowing traditional input and output costs. Understanding these costs is crucial for optimizing expenses in AI applications with long context windows.
✦ Why It Matters
Reassess your cost calculations to include cache read expenses in your AI project budgets today.
Key Takeaways
- Focus on cache read costs as a primary expense driver.
- Reduce the number of tool calls to lower overall costs.
- Consider models with favorable pricing structures for long sessions.
- Stay informed about innovations in cache compression technologies.
How It Works
Cache reads involve retrieving previously stored data to maintain context in AI interactions. As context windows grow, the cost of reading this data increases significantly, especially in lengthy sessions.