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io.github.SiliconAnalysts/silicon-analysts
Semiconductor data: AI accelerator costs, HBM, wafer pricing, packaging, chip cost calculator.
biocontext
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glama
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mcp.so
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nerq
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pulsemcp
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smithery
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Pure-function chip cost estimator. Given die dimensions (mm), process node, and optional packaging/HBM parameters, returns: estimatedChipCost (USD), dieArea (mm²), grossDiesPerWafer, frontendYield (%), totalYield (%), and a costBreakdown {waferCostPerGoodDie, packagingAndTestCost, hbmCost, marginCost}. USE THIS for: hypothetical chip cost modeling, sensitivity analysis, fabless tapeout decisions. DO NOT USE for: published cost of an existing accelerator (use get_accelerator_costs); wafer pricing only (use get_wafer_pricing). Required: dieWidth, dieHeight (1–33 mm reticle limit). Errors with INVALID_PARAMS if outside bounds. processNode defaults to tsmc-n5; valid nodes via get_wafer_pricing. Estimates are directional ±15–20%.
Returns 13 specific AI accelerators (H100/H200/B100/B200/GB200, MI300X/MI355X, Gaudi 3, TPU v5p, Trainium 2, Maia 100, MTIA v2) with structured fields: chip, vendor, processNode, dieSizeMm2, memoryType, memoryCapacityGb, memoryBandwidthTbS, fp8TflopsSparse, bf16TflopsDense, packageType, estMfgCostUsd, estSellPriceUsd, chipGrossMarginPct, costBreakdown.{logicDie, hbm, packaging, testAssembly}, interconnect. USE THIS for: comparing manufacturing cost or sell price across vendors; looking up published specs of a specific shipping accelerator. DO NOT USE for: chips not yet shipping (use get_market_pulse for forecasts); custom chip cost modeling (use calculate_chip_cost); HBM market dynamics (use get_hbm_market_data). Filters: vendor (enum), chip (substring match), fields (projection list). Returns empty array if filters match nothing — does not error. Each chip record carries provenance.last_updated; data refreshes monthly.
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