SG

SIAM AI Resource Planner

How to use

Overview
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Enter a Hugging Face model ID (e.g. Qwen/Qwen3-8B) and press Analyze.

⚙️

Auto: uses the checkpoint's native precision (FP8 stays FP8, not expanded to BF16).

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Advanced options let you override precision, KV cache dtype, engine, workload preset, and memory utilization.

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For gated models (e.g. Llama-3), paste a Hugging Face token in the advanced section.

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Results show GPU comparison, memory breakdown, KV cache, topology, concurrency planning, and more.

Confidence labels: EXACT (safetensors verified), HIGH (known architecture), MEDIUM (partial), LOW (analytical estimate only).

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Use the tabs to explore different aspects: Overview, Architecture, Memory, KV Cache, Performance, GPU Comparison, Topology, Concurrency, Storage, Assumptions, Formula Audit, AI Explanation.