search-gpus

📁 liorz/vastai-claude-skill 📅 9 days ago
2
总安装量
2
周安装量
#65790
全站排名
安装命令
npx skills add https://github.com/liorz/vastai-claude-skill --skill search-gpus

Agent 安装分布

openclaw 2
gemini-cli 2
claude-code 2
github-copilot 2
codex 2
kimi-cli 2

Skill 文档

Search Vast.ai GPU Offers

Help the user find the best GPU offers on Vast.ai.

User Request

$ARGUMENTS

Instructions

  1. Understand requirements: Key dimensions to determine:

    • GPU model (RTX 4090, A100, H100, etc.)
    • Number of GPUs
    • VRAM requirements
    • Budget ($/hr)
    • Region preferences
    • Reliability needs
    • Pricing type (on-demand vs spot/interruptible vs reserved)
  2. Build the search query from the mapping below.

  3. Run the search and present results clearly.

  4. Help interpret: Highlight best options based on user priorities.

Query Construction

User says Query field
“4090”, “RTX 4090” gpu_name=RTX_4090
“A100 80GB” gpu_name=A100 gpu_ram>=80
“H100” gpu_name=H100
“4 GPUs”, “multi-GPU” num_gpus>=4
“at least 48GB VRAM” gpu_total_ram>=48
“under $1/hr”, “cheap” dph_total<1.0
“reliable” reliability>0.95
“US only” geolocation=US
“datacenter” datacenter=true
“spot”, “interruptible” add -b flag
“reserved” add -r flag
“NVLink” bw_nvlink>0
“fast internet” inet_down>500

Always include reliability>0.9 unless the user wants cheaper unreliable machines.

Default sort: -o 'dph_total' (cheapest first).

Examples

# Cheap single 4090
vastai search offers 'gpu_name=RTX_4090 num_gpus=1 reliability>0.9' -o 'dph_total'

# 8x H100 for large training
vastai search offers 'gpu_name=H100 num_gpus=8 reliability>0.95' -o 'dph_total'

# Any GPU with 80GB+ VRAM in US datacenters
vastai search offers 'gpu_total_ram>=80 geolocation=US datacenter=true reliability>0.95' -o 'dph_total'

# Budget multi-GPU fine-tuning
vastai search offers 'num_gpus>=2 gpu_ram>=24 dph_total<1.5 reliability>0.9' -o 'dph_total'

# Spot pricing for H100s
vastai search offers 'gpu_name=H100 num_gpus>=4' -b -o 'dph_total'

Presenting Results

After running the search:

  1. Summarize top 3-5 options in a clear table with: Offer ID, GPU, # GPUs, VRAM, $/hr, Reliability, Location
  2. Highlight the offer ID prominently — user needs it to launch
  3. Note trade-offs (price vs reliability vs perf)
  4. Mention spot pricing if it would save significantly
  5. If no results, suggest relaxing constraints