OpenServ 把 Jev 决策节点接入 SERV v3 的 Graph Sharding
OpenServ 宣布在 v3 中把 Jev 驱动的决策节点放进 Graph Sharding：生成任务用 LLM，需要快速一致判断的环节交给 Jev。
Jev + SERV is actually insane. We are bringing Jev-powered Decision nodes into Graph Sharding with the upcoming SERV v3. Instead of relying on a single model for every task, Graph Sharding breaks complex AI workflows into specialized execution paths: using different models for what they do best. Graph Sharding can use LLMs where generation is needed and Jev where fast, consistent decisions are needed, with SERV Reasoning improving their accuracy and consistency. We've already shown what happens when Jev meets SERV Reasoning. With v3, we're taking that further by bringing Jev-powered Decision nodes into Graph Sharding. This combination is designed to deliver faster decisions, lower latency and costs, more consistent execution, and greater visibility and control over how agents reason, decide and act. And that's part of a much bigger shift in how we see AI infrastructure evolving. Enterprise AI will not run on a single model, but on systems built to orchestrate intelligence across specialized models and workflows. As models continue to improve, more specialized intelligence will emerge and agentic workflows will become increasingly complex. As the agentic economy scales alongside them, billions of autonomous decisions will need to happen reliably, efficiently and at machine speed. That makes the infrastructure connecting and orchestrating all of this intelligence increasingly important. Our vision is to become the reasoning infrastructure powering enterprise AI, making increasingly powerful and specialized intelligence reliable, efficient and ready for the agentic economy. v3 is the next step toward that vision. SERV Reasoning is live: http://openserv.ai
这条是引用着另一条写的：x.com/dashersw/status/2102803547322458559