chokepoints.ai
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10 layers580 nodes2,376 dependencies9 chokepoints112 bottlenecks6,500+ companiesnode size = companies identified

Servers, systems, accelerator boards, and racks

BOTTLENECK

Three ODMs capture GB200 NVL72 assembly margin, and thermal density prevents rapid qualification of a second source.

Server and rack-level systems integrating accelerators, CPUs, memory, and networking. Physical density, thermal limits, and interconnect topology determine how AI capacity deploys. ODMs (Quanta, Foxconn, Wistron) capture assembly margin on GB200 NVL72 racks; hyperscalers are the primary buyers.

The hardware assembly layer that integrates accelerators, CPUs, memory, storage, and networking into complete servers and rack-level systems; spans from the GPU baseboard through branded OEM servers, ODM white-box servers, and rack integration.

What the evidence shows

Server hardware options include offerings from over a dozen vendors.

techtarget.com

AI servers with accelerators accounted for over 70% of server revenue in Q1 2026.

tomshardware.com
RESCORED JUL 2026consolidatedscaling162 companies

Who controls it

DellHewlett Packard EnterpriseLenovo+159 more tracked
$145B market · 20257.2% CAGRsource

Where it sits in the stack

Takes in: GPU modules, CPUs, NICs, memory, storage, chassis, PSUs, networking hardware

Sends on: Complete AI servers, rack systems, and turnkey AI infrastructure

view in atlas

Related nodes

AI accelerators and siliconHost server CPUsNetwork interface cards, SmartNICs, and DPUsMemory subsystemsStorage subsystemsNetworking and interconnect hardware

Full scorecard, owner shares, supply edges and the full tracked roster are in the desk letter.

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