Google的Agent计算引擎给每个Gemini agent提供自己的硬件同位素微虚拟机
Google 宣布 Agent计算引擎，这种服务为每个AI agent提供自己孤立的虚拟机。 服务已经授权Gemini，并将在未来几个月开放预览。 每个agent运行在一个由Google的泰坦ium芯片，公司称保证的微VM内部。 当agent闲置时，其VM会自动暂停，并为他人解冻机器。 在VMS 削减之间共享存储器，每架运行花费多少。 VMS在提供代理系统时是一个相当巨大的成本因素，因此Google在此追求效率。
这也在开源 Agent底盘，Kubernetes运行时间之后。 Google 称可以在单一服务器上装配十倍的agents. 在一次以20万agents的试验中，根据Google，暂停和恢复耗时不到500毫秒。 在监督方面，Google正在增加信使跟踪，模式路由，以及对平身份和SailPoint等第三方身份提供者的支持。 这些控制将延伸至Cloud Run、GKE和管理的终点。
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Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine
Google announced Agent Compute Engine, a service that gives each AI agent its own isolated virtual machine. The service already powers Gemini and will open for preview in the coming months. Every agent runs inside a microVM secured by Google's Titanium chip, the company says. When an agent idles, its VM pauses automatically and frees up the machine for others. Shared memory between VMs cuts what each one costs to run. VMs are a pretty huge cost factor when providing agentic systems, so Google is going after efficiency here.
This is also behind the open-sourced Agent Substrate, a Kubernetes runtime. Google says it can fit ten times as many agents on a single server. In a test with 200,000 agents, suspend and resume took less than 500 milliseconds, according to Google. On the oversight side, Google is adding token tracking, model routing, and support for third-party identity providers like Ping Identity and SailPoint. Those controls will extend to Cloud Run, GKE, and managed endpoints.
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