Industry Paper
The Heterogeneity Tax
MCP as the post-Kubernetes control plane for heterogeneous GPU infrastructure.
By Steve McKay · SVP Technology, Massed Compute
Mixed GPU fleets reward per-device tuning, yet platform teams still ship portable Kubernetes manifests that run everywhere but optimize nowhere. This paper makes the case for an MCP-connected agent control plane as the successor operational layer for accelerated compute — and names the cost of not adopting one.
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What’s inside
A position paper for platform and infrastructure teams.
Three linked hypotheses, a survey of what Kubernetes already automates, and a head-to-head framework for evaluating an MCP control plane on accelerated infrastructure.
The heterogeneity tax
The performance gap between a portable baseline and a deployment tuned for each accelerator class and job purpose — well documented across GPU fleets.
H1 · A real performance gap
Mixed fleets leave throughput and tail latency on the table when configuration stays static while GPU work keeps changing.
H2 · A closed adaptation loop
A policy-guarded monitor, decide, act loop replaces declarative reconcile as the primary control law for accelerated compute.
H3 · The sustain burden
Sustaining per-workload tuning through Kubernetes-shaped operations exceeds human scale as hardware, frameworks, and traffic drift.
Who should read this
Built for the teams running mixed GPU fleets.
Platform engineers, ML infrastructure leads, and anyone deciding how accelerated compute gets operated. Subscribe free and the paper is yours.