Fireworks 推出了 Nexus，这是一个用于管理和优化组织内 AI 模型使用的推理基础设施。Nexus 提供智能路由，将任务与最具成本效益的模型匹配，涵盖从 Kimi K3 和 GLM-5.2 等开源选项到先进的专有模型。它还提供企业级的成本控制，包括预算和使用情况可见性，旨在使指数级的 token 增长在经济上可持续，同时不阻碍开发者的采用。 AI
影响 使组织能够在保持或增加模型使用量的同时，管理和降低 AI 推理成本。
排序理由 推理基础设施产品的发布。
在 X — Fireworks (inference infra) 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
Nexus connects to the agentic harnesses your teams already use, whether that’s Claude Code, Codex, OpenCode, or your own custom tooling. It gives you: → Intelligent routing, automatically matching each task to the right model, from the newly released Kimi K3 and GLM-5.2 to
The challenge is that building the right infrastructure isn’t trivial. Most teams don’t have the time to build: - Intelligent routing that automatically sends routine work to cost-effective open models and reserves frontier models for the hardest reasoning tasks. -
This quote from @brian_armstrong’s viral X post on how @coinbase cut token spend by half while increasing token usage clearly stuck with us. “The goal isn’t to suppress usage. It’s to build the infrastructure that makes exponential growth sustainable.” That perfectly captures