Behind every $NVIDIA(NVDA)$ AI rack is a massive ecosystem of semiconductor, memory, networking, cooling, and infrastructure companies.
From $TSM and $MU to $VRT and $SMCI, the AI boom is creating winners across the entire hardware stack — not just inside $NVDA itself.
What Makes Nvidia Racks So Expensive
GPU: $Taiwan Semiconductor Manufacturing(TSM)$ $ARM Holdings(ARM)$ $Intel(INTC)$ $KLA-Tencor(KLAC)$ $Lam Research(LRCX)$ $ASML Holding NV(ASML)$ $Keysight(KEYS)$ $ASE Technology(ASX)$ $Amkor Technology(AMKR)$ $Camtek(CAMT)$ $PDF Solutions(PDFS)$
Memory: $Micron Technology(MU)$ $SanDisk Corp.(SNDK)$ $Western Digital(WDC)$
Networking: $COHERENT(COHR)$ $Corning(GLW)$ $Fabrinet(FN)$ $Lumentum(LITE)$ $Amphenol(APH)$ $Credo Technology Group Holding Ltd(CRDO)$ $Astera Labs, Inc.(ALAB)$ $Cisco(CSCO)$ $Broadcom(AVGO)$ $Applied Optoelectronics(AAOI)$ $SIVERS SEMICONDUCTORS AB(SIVEF)$
Cooling + Power: $Vertiv Holdings LLC(VRT)$ $Eaton Corp PLC(ETN)$ $Flex Ltd(FLEX)$ $STMicroelectronics NV(STM)$ $Analog Devices(ADI)$ $Monolithic Power(MPWR)$ $Navitas Semiconductor Corp(NVTS)$ $ON Semiconductor(ON)$
Others: $Dell Technologies Inc.(DELL)$ $Jabil Circuit(JBL)$ $Hewlett Packard Enterprise(HPE)$ $SUPER MICRO COMPUTER INC(SMCI)$
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