租用云GPU 按小时计

云GPU每小时定价

从GPU分配（包括启动）起，计费按标示的小时速率进行，直到你停止或损坏GPU。点击显卡可查看完整规格、可用性及一键部署选项。

Persistent volumes are $0.18 per GB-month, billed per second for as long as the volume exists, including while no GPU is running. Attach one at deploy to keep files in /workspace between sessions. A single volume holds up to 4 TB, and an account starts with 10 volumes and 10 TB of total capacity. Workspace volumes keep files between runs. Object buckets provide shared datasets mounted at /mnt/<name>. The size selected is the minimum billed; usage above it is billed in whole GB. Network volumes share files at /workspace across compatible GPU instances and cluster nodes.

多节点GPU集群

集群是多台完整机器连接到一个高速互联并保留在一起，用于分布式训练。租用独立实例会带来无关机器，且它们之间没有快速路径。选择要接收多少节点;显示的价格是按节点计算的。

GPU 云的工作原理

1. 选择显卡

从实时目录中选择一张卡和运行时存储目标。

2. 选择一个模板

JupyterLab、ComfyUI、vLLM模型服务器，或浏览器网页终端，几分钟内即可完成。

3. 连接

在浏览器中打开工作负载，或者通过认证的EmpirioLabs connect端点调用它。

GPU 云：常见问题

GPU 云是如何计费的？

计费是从GPU分配（包括启动）起，按标示的小时计费，直到你停止或销毁实例为止。部署时费率锁定，停止或销毁实例会停止充电。

我在GPU实例上可以运行什么？

One-click templates cover JupyterLab notebooks, ComfyUI, vLLM model serving (bring a Hugging Face model id), and a browser web terminal. You connect through the authenticated EmpirioLabs connect endpoint or call the workload through /v1/gpu/connect/{instance_id}/{path} on the API.

我可以通过API管理GPU云吗？

Yes. Everything the dashboard does is also available through the API: deploy, stop, and destroy instances under /v1/gpu on api.empiriolabs.ai, and reach the running workload through the connect endpoint. The full reference is in the GPU 云文档。 。 。.

实例包含多少存储空间？

运行时存储包含在标示的GPU价格中。选择GPU配置以查看其包含的存储。运行时磁盘上的文件是临时的。

我如何在会话之间保存文件？

Attach a persistent volume at deploy. Files you save in /workspace are kept when you stop or destroy the GPU and restored the next time you attach the same volume. Volumes are $0.18 per GB-month, billed per second while the volume exists, including while no GPU is running. Deleting the volume deletes its files and stops the charge. A single volume holds up to 4 TB, and an account starts with 10 volumes and 10 TB of total capacity. Workspace volumes keep files between runs. Object buckets provide shared datasets mounted at /mnt/<name>. The size selected is the minimum billed; usage above it is billed in whole GB. Network volumes share files at /workspace across compatible GPU instances and cluster nodes.

我该如何开始？

创建一个EmpirioLabs账户，开启 仪表盘中的GPU云选一个GPU和模板，然后部署。账单pay-as-you-go积分。