gpu
1
总安装量
1
周安装量
#55050
全站排名
安装命令
npx skills add https://github.com/gpu-cli/gpu --skill gpu
Agent 安装分布
replit
1
amp
1
opencode
1
kimi-cli
1
github-copilot
1
Skill 文档
GPU CLI
Run NVIDIA GPU workloads from your Mac. gpu run <command> provisions cloud GPUs, syncs code, streams output.
Current Status
!gpu status 2>/dev/null || echo "No active pods"
Config: !ls gpu.jsonc 2>/dev/null || echo "No config"
Commands
| Command | Purpose |
|---|---|
gpu run <cmd> |
Execute on remote GPU |
gpu use <template> |
One-click apps (ComfyUI, vLLM) |
gpu status |
Show pods, jobs, costs |
gpu logs [-f] |
View/stream job output |
gpu stop |
Stop pod immediately |
gpu events |
Stream all activity |
gpu inventory |
List GPUs with pricing |
gpu dashboard |
Interactive TUI |
Routing
Read the appropriate reference based on user intent:
| User Intent | Reference File |
|---|---|
| Create project, run ML task, “I want to…” | references/create.md |
| Error, OOM, failed, stuck, debug | references/debug.md |
| Cost, GPU selection, optimize, pricing | references/optimize.md |
| Config help, gpu.jsonc fields | references/config.md |
| Volumes, persistent storage, large models | references/volumes.md |
Quick Config
{
"$schema": "https://gpu-cli.sh/schema/v1/gpu.json",
"project_id": "my-project",
"gpu_types": [{ "type": "RTX 4090" }],
"outputs": ["results/", "*.pt"]
}
GPU Quick Reference
| VRAM | GPU | $/hr | Best For |
|---|---|---|---|
| 12GB | RTX 4070 Ti | $0.25 | Small models |
| 24GB | RTX 4090 | $0.44 | SD, FLUX, 7B LLMs |
| 48GB | RTX A6000 | $0.80 | Large training |
| 80GB | A100 PCIe | $1.79 | 70B LLMs, video |
Sync Behavior
- TO pod:
.gitignorecontrols (gitignored files don’t sync) - FROM pod:
outputsin config controls (only matching patterns sync back)