Glossary
Heterogeneous inference.
Heterogeneous inference means serving AI workloads across mixed infrastructure: different GPU generations, CPUs, accelerators, runtimes, locations, memory profiles, and network topologies.
Why it matters
This matters because most enterprises do not have one perfect homogeneous AI supercluster. They have existing assets, mixed procurement cycles, and operational constraints.
servescale.ai context
servescale.ai uses this concept to explain why enterprise inference needs a private, governed, model-aware, topology-aware, and economics-first control plane.
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