ai-hardware-selection
byclaude-dev-suite· 59 skills
Selecting accelerators for AI workloads: GPU vs TPU vs NPU vs FPGA vs CPU, and the metrics that actually decide it — memory capacity & bandwidth, TOPS/ FLOPS, interconnect, and cost/Watt. Architect-level hardware-fit reasoning.
How to install ai-hardware-selection?
claude-dev-suite/claude-dev-suite/ai-hardware-selection
$npx -y skills add claude-dev-suite/claude-dev-suite --skill ai-hardware-selectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/claude-dev-suite/claude-dev-suite" --skill "claude-dev-suite/claude-dev-suite/ai-hardware-selection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/claude-dev-suite/claude-dev-suite" that are relevant to the current task. Run `npx skills add "https://github.com/claude-dev-suite/claude-dev-suite"` and select the relevant skills, then follow their instructions.
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