Moonglow (YC S24) now lets you stop and resume instances on AWS! With Moonglow (YC S24), it is already incredibly easy to start and terminate AWS instances. If you're looking for even faster spin up times in between sessions, you can now pause instances too. While paused, you only pay for storage, saving on compute costs!
关于我们
- 网站
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https://moonglow.ai
Moonglow (YC S24)的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 类型
- 私人持股
Moonglow (YC S24)员工
动态
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Excited to launch!
Moonglow (YC S24) connects local Jupyter notebooks to remote compute providers. Most modern ML research starts in Jupyter notebooks, which are great for exploration. But when it’s time to scale up, they hit a wall. The infrastructure just isn’t there to easily connect notebooks to serious GPU power. This means that ML researchers spend valuable time converting their notebooks into scripts, a time-consuming and slow process. Then they SSH to a remote machine and copy their environment and all that data over. Or, they use hacky workarounds like remote Jupyter servers, which are error-prone, or cloud compute notebook providers, like Google Colab, which only provide a limited GPU selection. Founded by Leila C. and Trevor Chow, Moonglow lets researchers use the cloud GPUs of their choice, right from their notebook editor. With just a click of a button, you can move a Jupyter notebook from a CPU to an H100 in less than a minute. By automating the DevOps, Moonglow lets researchers focus on what matters: the ML problems themselves. Try it out at https://moonglow.ai. Congrats on the launch, Leila and Trevor! ?? https://lnkd.in/gx26WWbM
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