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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 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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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 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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