Ask HN: 机器人工程师们——搭建 GPU 仿真基础设施有多痛苦？
2 分•作者: nikhilol•4 个月前
我正在探索一项服务，它可以在你推送代码时，自动在云端 GPU 上运行机器人物理仿真。你可以把它想象成针对 Isaac Sim、Gazebo 或 MuJoCo 的 Vercel CI/CD。当代码推送时，GPU 启动，无头运行，将指标发布到托管的结果仪表板，然后关闭。
对于那些已经解决了 GPU 基础设施问题的人来说：如果今天让你从头开始，面对一份新工作、一个新团队、一个新项目，你会对即将面临的挑战感到恐惧吗？或者这只是一个一次性的烦恼，你早就忘记了？
我真心想了解这是否足够痛苦，以至于值得花钱来避免，还是仅仅是几周的烦恼，然后就没事了。
（我有一个着陆页，但还没有产品，发帖是为了在构建之前验证！）
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I'm exploring a service that auto-runs robot physics simulations on cloud GPUs when you push code, think Vercel CI/CD but for Isaac Sim, Gazebo, or MuJoCo. GPU spins up on push, runs headlessly, posts metrics to a hosted results dashboard, tears down.
For those of you who've already solved the GPU infra problem: if you had to start over from scratch today with a new job, new team, new project, would you dread what lies ahead? Or was it a one-time annoyance you've forgotten about?<p>Genuinely trying to understand if this is painful enough to pay to avoid or just annoying for a few weeks and then fine.<p>(I have a landing page but no product yet, posting to validate before building!)