← ClaudeAtlas

hardware-calculatorlisted

Quick VRAM/RAM calculations, hardware recommendations, feasibility checks for AI models
hotak92/vibecoded-orchestrator · ★ 3 · AI & Automation · score 72
Install: claude install-skill hotak92/vibecoded-orchestrator
# Hardware Calculator (Haiku) **Purpose**: Quick VRAM/RAM calculations, hardware recommendations, feasibility checks for AI models. **Model**: Haiku 4.5 ## When to Invoke Autonomously 1. **"Can I run X?"**: User asks if model fits hardware 2. **Hardware Shopping**: "Which GPU for [model]?" 3. **Quick VRAM Check**: Before loading model 4. **Multi-Model Planning**: "Can I run 2 models simultaneously?" 5. **Quantization Math**: "How much VRAM saves Q4 vs Q8?" ## DO NOT invoke for - Complex architecture decisions (use /architect skill) - Performance optimization (use /performance-optimizer) - Already know hardware fits ## What This Skill Does **VRAM Calculations**: - Calculate model VRAM requirements from parameters + quantization - Account for context overhead and batch size - Apply 20% safety margin - Formula: (params × bytes_per_param × 1.2) + context + batch **GPU Recommendations**: - Match budget to appropriate GPU tier ($300-5000+) - Match VRAM needs to GPU options (8-80GB range) - Consider price/performance tradeoffs - Warn about overspending or underpowered options **Feasibility Checks**: - Quick yes/no: Will model fit on GPU? - Account for OS overhead (~2GB) - Warn if <10% headroom (tight fit, unstable) **Multi-Model Planning**: - Calculate combined VRAM for running multiple models - Suggest offloading strategies if tight - Account for shared context when applicable **See**: `examples/calculations.md` for formulas, `examples/gpu-specs.md` for hardware details