Built for operators, founders, and engineering teams who need defensible numbers on cost, throughput, memory, retrieval architecture, and deployment shape.
Estimate VRAM, GPU count, throughput, TTFT, TPOT, and monthly cost for real inference and training scenarios.
Size the full retrieval pipeline together: chunking, embeddings, vector store, reranking, generation, and deployment model.
Reproducible benchmark scaffolding for your actual data, not toy tasks.
Version, test, and compare prompts without losing experimental discipline.
Watch spend across providers and spot unit-economics drift before it hurts.
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