NexAIX-官方博客
Long-Context API Production Deployment Guide: Avoiding Memory Truncation, NIAH Recall Stress Testing, and Hybrid Model Scheduling
As million-token windows become mainstream, long-context APIs face challenges like hidden truncation, lost-in-the-middle accuracy degradation, TTFT spikes, and data compliance. This article analyzes the underlying KV Cache bottlenecks, provides reproducible stress testing methods for extreme lengths and multi-needle recall, and introduces how to achieve reliable production calls with NexAIX's full-spec compute and single-endpoint hybrid architecture.
How to Choose a Long-Context API: 5 Cost Criteria for 1M Windows
This article provides 5 cost criteria for choosing a long-context API, combined with the actual performance of 1M models like Kimi K3, to guide developers in deciding between expanding the window and RAG retrieval.
