> For the complete documentation index, see [llms.txt](https://docs.snarkify.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.snarkify.io/serverless-gpu-proving/snakrify-cli/gpu-shell-management.md). # GPU Shell Management A GPU Shell is a managed GPU container on our platform with ssh capability, providing developers isolated development environments with various GPU configurations. Developers could use shells to develop and test their code while integrating with our SDK before deploying as a service in production. ## Create a Shell You can create a shell with selected GPUs to accelerate your project development: ``` snarkify shell create {shell_name} ``` You'll be prompted to select the type of GPU during shell creation. Note the the `shell_name` is optional. If it is not provided, a default name will be assigned based on the shell ID. {% hint style="info" %} It may take a few minutes for a new Shell to become READY {% endhint %} ## Query a Shell You can use the `info` command to check the status of your shell and retrieve the necessary access information. ``` snarkify shell info {shell_id} ``` ## Access a Shell Once you get the `shell_id` you would like to connect to, you can run the following command to ssh into it ``` snarkify shell connect {shell_id} ``` It will then prompt for the password, the default password is randomly generated and retrievable using the same `snarkfy sell info` command above. ## List Shells You can use the `list` command to list all shells under your team. ``` snarkify shell list ``` ## Delete a Shell You can permanently delete a shell using the following command: ``` snarkify shell delete {shell_id} ``` --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.snarkify.io/serverless-gpu-proving/snakrify-cli/gpu-shell-management.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.