Research
Deep-dives into LLM economics, token optimization, and agent architecture research from the Tikoly team. 26 articles. · Page 3 / 3
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Browse by topic2026-03-16
USAGE+TOKEN BURN PATTERNS
Analysis of real-world token consumption across 10,000 agent sessions reveals that context accumulation is the dominant cost driver for multi-turn agent workflows.
2026-03-16
TOKEN 消耗模式
对 10,000 个智能体会话的 Token 消耗分析显示，上下文累积是多轮智能体工作流的主要成本驱动因素。
2026-02-11
Tikoly Partners with RJ Data Center for Sub-10ms Inference
Direct peering with RJ Data Center brings Tikoly's median inference latency below 10ms, enabling real-time agent applications that cannot tolerate jitter.
2026-02-11
Tikoly 与 RJ 数据中心达成合作，实现亚 10ms 推理
与 RJ 数据中心的直接对等连接使 Tikoly 的中位推理延迟低于 10ms，为无法容忍抖动的实时智能体应用提供支持。
2026-02-02
PERFORMANCE / LATENCY BENCHMARKS
End-to-end latency measurements across Tikoly's provider network. The telemetry pipeline delivers sub-10ms median latency for token streaming.
2026-02-02
性能 / 延迟基准测试
跨 Tikoly 提供商网络的端到端延迟测量。遥测管道为 Token 流提供低于 10ms 的中位延迟。