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Who makes cluster management & gpu orchestration for AI data centers

Cluster management & GPU orchestration (out of scope for a parts site; listed for completeness)

Software that schedules AI workloads onto GPU clusters and manages the compute fleet, sitting outside the physical parts this site otherwise tracks.

Cluster management and orchestration software allocates jobs across GPU clusters, handling scheduling, fault tolerance, and utilization — the layer between the physical compute (Layer 1) and the AI workloads running on it. It is listed here for completeness because it is part of how the hardware in every other layer gets used, but it is a software category rather than a physical part, so it sits outside the scope of what this site otherwise catalogs.

AI delta: Larger, more expensive GPU clusters raise the cost of scheduling and utilization mistakes, increasing demand for orchestration software built specifically for AI training and inference.

Appears at:Enterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — Present wherever GPU clusters run; complexity and the case for dedicated orchestration software grow with cluster size rather than with any single facility's density mode.

Companies on this part (6)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
DellservicepublicDELL472 USD+0.0%inferred
HPEservicepublicHPE54.41 USD-3.7%inferred
NvidiaservicepublicNVDA228 USD+3.8%inferredBase Command, Mission Control, Run:ai
SupermicroservicepublicSMCI38.46 USD+0.3%inferred
Rafayserviceprivateinferred
SchedMD/Slurmserviceprivateinferred

Who competes here

The same table read the other way: every company above competes for cluster management & gpu orchestration sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Nearby parts

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is builtMarkdown · JSON