Built for production, not demos
GPU type/count, VRAM, CPU & RAM + per-model vLLM flags — production-tested on Hugging Face models across major families
Hugging Face
DeepSeek
Llama
Qwen
Gemma
MoE
Reasoning
Multi-GPU
GPU Requirements
Get exact GPU type & count, VRAM per GPU and total VRAM, plus CPU/RAM — computed for your model and context length
vLLM Parameters
Copy-paste vLLM config with tensor/pipeline parallelism, memory flags, and performance switches — validated to boot first try
Big-Model Ready
70B-600B
Pre-validated configs for multi-GPU, MoE, and reasoning models so your 8×H100/H200 cluster boots first try — no 30–60-minute dead spins or OOM retries
API EXAMPLE
Simple API, powerful results
→Request
curl -X POST "https://llm-tool.p.rapidapi.com/v1/calculate" \
-H "X-RapidAPI-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"hf_model": "meta-llama/Llama-3.1-8B"
}'