Google’s first Suncatcher orbital data center test launches October 1

谷歌首个“捕日者”（Suncatcher）轨道数据中心测试将于 10 月 1 日发射

Google is taking its first step toward making Project Suncatcher a reality. Announced last year, Suncatcher is Google’s “moonshot” effort to design orbital AI data centers, which AI boosters like Elon Musk and Jeff Bezos have pitched as an alternative to divisive terrestrial data centers. 谷歌正迈出实现“捕日者”（Project Suncatcher）计划的第一步。该计划于去年宣布，是谷歌旨在设计轨道人工智能数据中心的“登月”项目。埃隆·马斯克（Elon Musk）和杰夫·贝索斯（Jeff Bezos）等人工智能支持者曾提出，轨道数据中心可以作为备受争议的地面数据中心的一种替代方案。

Google’s first experimental satellite will launch on October 1 with the aim of validating Google’s vision for a constellation of AI satellites. The satellite, dubbed MVP, is about the size of a refrigerator. Inside, it has four of Google’s custom TPU AI accelerators, which are used to train AI models and run inference to generate tokens for AI workloads. 谷歌的首颗实验卫星将于 10 月 1 日发射，旨在验证其构建人工智能卫星星座的愿景。这颗名为 MVP 的卫星大小约为一台冰箱。其内部搭载了四颗谷歌定制的 TPU 人工智能加速器，用于训练人工智能模型并运行推理任务，从而为人工智能工作负载生成令牌（tokens）。

On Earth, a data center will run thousands of these chips, which consume massive amounts of power—one of the reasons putting solar-powered AI hardware in space is so attractive. MVP is starting small, with solar panels that supply only about one kilowatt of power. That’s enough to power a microwave or a hair dryer. 在地球上，一个数据中心会运行数千颗此类芯片，它们消耗巨大的电力——这也是将太阳能驱动的人工智能硬件部署到太空如此具有吸引力的原因之一。MVP 项目目前规模较小，其太阳能电池板仅能提供约一千瓦的电力，这仅够驱动一台微波炉或吹风机。

Google did not build the satellite from scratch. While the AI hardware inside is Google’s, the spacecraft comes from a satellite imagery firm called Planet Labs. The initial plan was to launch two custom satellites in 2027, but Google wanted to accelerate its efforts. So the company opted to integrate its chips into a satellite that Planet Labs had already built for an early test. 谷歌并非从零开始制造这颗卫星。虽然内部的人工智能硬件属于谷歌，但卫星平台来自一家名为 Planet Labs 的卫星影像公司。最初的计划是在 2027 年发射两颗定制卫星，但谷歌希望加快进度，因此选择将芯片集成到 Planet Labs 已经制造好的卫星中，进行早期测试。

Google’s AI test will launch as part of the upcoming Transporter-18 rideshare aboard a SpaceX Falcon 9 rocket. Eventually, Google wants to have networks of orbiting satellites that communicate over high-speed laser connections, probably requiring expensive dedicated launches. This lone satellite will serve as a test of several technologies and will operate for just a few months. 谷歌的这项人工智能测试将作为 SpaceX“猎鹰 9 号”火箭即将执行的 Transporter-18 拼车发射任务的一部分。谷歌最终希望建立一个通过高速激光连接进行通信的轨道卫星网络，这可能需要昂贵的专用发射任务。这颗单体卫星将作为多项技术的测试平台，运行时间仅为几个月。

The team will need to evaluate how Tensor chips handle space conditions. In many space missions, hardware is designed specifically for extreme temperatures or radiation, but these are the same TPUs that Google integrates into servers on the ground. Radiation can damage chips or simply interfere with calculations by flipping bits. But vibration and high g-forces during launch also pose problems. Still, as we’ve seen with missions like the Ingenuity Mars helicopter, off-the-shelf hardware can hold up pretty well out there. 团队需要评估 Tensor 芯片如何应对太空环境。在许多太空任务中，硬件是专门为极端温度或辐射设计的，但这些 TPU 与谷歌集成在地面服务器中的芯片完全相同。辐射可能会损坏芯片，或通过翻转位（bit-flipping）干扰计算。此外，发射过程中的振动和高 G 力也会带来问题。不过，正如“机智号”（Ingenuity）火星直升机等任务所证明的那样，现成的硬件在太空中表现依然相当出色。

Cooling the chips may be the biggest issue, something many observers have pointed out as the AI industry has gone wild over the idea of orbital data centers. Radiator systems exist in space, but they’re designed to remove a relatively small amount of heat. AI accelerators generate far more heat by comparison. Google’s solution uses a layer of malleable “thermal interface material” that connects the chips to aluminum and copper heat pipes. Those components conduct heat into a radiator that can project it into space. 芯片散热可能是最大的难题，许多观察人士在人工智能行业热衷于轨道数据中心概念时就指出了这一点。太空中虽然存在散热系统，但它们的设计初衷是移除相对较少的热量，而人工智能加速器产生的热量要大得多。谷歌的解决方案是使用一层可塑的“导热界面材料”，将芯片与铝铜热管连接起来。这些组件将热量传导至散热器，再将其辐射到太空中。

Google will run Gemini models on the TPUs for testing, but they won’t be able to run continuously. The cooling system will only be able to operate in brief spurts of about 15 minutes. After that, the TPUs need to shut down to allow the radiators to catch up. With this first test, Google hopes to understand what does and doesn’t work, allowing it to improve its designs for future missions. The 2027 launches are still on the agenda, but the team expects it will be years before Suncatcher evolves from “project” to “product.” 谷歌将在 TPU 上运行 Gemini 模型进行测试，但它们无法持续运行。冷却系统每次只能工作约 15 分钟。之后，TPU 需要关闭以让散热器恢复状态。通过这次初步测试，谷歌希望了解哪些方案可行、哪些不可行，从而改进未来任务的设计。2027 年的发射计划仍在议程中，但团队预计，“捕日者”项目从“项目”演变为“产品”还需要数年时间。