Predict TTFT, throughput, and cost-per-token for any Hardware × Model × Runtime configuration — without executing the model.
Single configuration performance prediction — TTFT, ITL, throughput, and cost.
Side-by-side vLLM vs SGLang vs TensorRT-LLM comparison on identical hardware.
Search GPU × runtime × precision space to find the cheapest deployment that meets your SLO.
GPU feasibility matrix — which hardware can run your model and how much headroom you get.
Interactive Kernel Pipeline Graph showing every GPU kernel in the inference pipeline.
Educational model report with architecture breakdown, hardware needs, and performance preview.