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Manage NVIDIA GPU instances on Brev cloud. Use for creating, starting, stopping, and managing GPU instances for the data platform.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Manage NVIDIA GPU instances on Brev cloud. Use for creating, starting, stopping, and managing GPU instances for the data platform.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | brev |
| description | Manage NVIDIA GPU instances on Brev cloud. Use for creating, starting, stopping, and managing GPU instances for the data platform. |
Manage GPU instances on NVIDIA Brev for the data platform deployment.
| Command | Description |
|---|---|
brev create <name> | Create a new instance |
brev start <name> | Start a stopped instance |
brev stop <name> | Stop a running instance |
brev delete <name> | Delete an instance |
brev reset <name> | Reset instance if in weird state |
brev status | Show status of current instance |
| Command | Description |
|---|---|
brev ls | List instances in active org |
brev ls --all | List all instances including teammates' |
brev org ls | List available organizations |
brev set <org-id> | Set active organization |
| Command | Description |
|---|---|
brev shell <name> | Open shell in instance |
brev open <name> | Open VSCode/Cursor to instance |
brev port-forward <name> | Set up port forwarding |
brev copy <src> <dest> | Copy files to/from instance |
| Command | Description |
|---|---|
brev secret | Manage secrets/environment variables |
When creating instances with -g/--gpu, common options include:
| Type | GPUs | Use Case |
|---|---|---|
h200-141gb.1x | 1x H200-141GB | REQUIRED for this platform - fractional GPU sharing |
a100-80gb.1x | 1x A100-80GB | Insufficient for concurrent GPU workloads |
n1-highmem-4:nvidia-tesla-t4:1 | 1x T4 | NOT SUPPORTED - too small |
Note: This platform requires H200 141GB for KAI Scheduler fractional GPU sharing (NIM 70GB + JupyterHub 70GB).
See https://brev.dev/docs/reference/gpu for full list.
When creating CPU-only instances with -c/--cpu:
| Type | vCPUs | Memory |
|---|---|---|
2x8 | 2 | 8GB |
4x16 | 4 | 16GB |
8x32 | 8 | 32GB |
16x32 | 16 | 32GB |
brev create dev-platform -g "a2-highgpu-1g:nvidia-a100-40gb:1"
brev shell dev-platform
# Forward ArgoCD UI (port 8080)
brev port-forward dev-platform -p 8080:8080
# Forward multiple ports
brev port-forward dev-platform -p 8080:8080 -p 9000:9000 -p 3000:3000
brev copy dev-platform:/etc/rancher/k3s/k3s.yaml ./kubeconfig.yaml
brev stop dev-platform
brev delete dev-platform
For this data platform, the recommended instance name is brev-data-platform with GPU configuration suitable for NIM LLM inference.
brev create brev-data-platform -g "a2-highgpu-1g:nvidia-a100-40gb:1"
When invoked with /brev, pass commands directly:
/brev ls - List instances/brev create my-instance -g "..." - Create instance/brev shell my-instance - SSH into instance