Cloud-vs-On-Prem Cost Decision Engine for IT

C6/10March 3, 2026
WhatAn automated tool that continuously analyzes an organization's workloads and produces a live repatriation business case — showing exactly which workloads should move on-prem, which should stay in cloud, and the projected savings with full TCO modeling.
SignalMultiple infrastructure professionals describe a recurring, manual process of building spreadsheets to compare cloud vs. on-prem costs over multi-year horizons, factoring in hardware amortization, egress fees, licensing changes, and compliance requirements — yet each time it requires deep expertise and the answer keeps shifting as pricing and hardware generations change.
Why NowThe combination of exploding core density (288-core CPUs making single-box consolidation viable), post-Broadcom VMware license shock pushing orgs to re-evaluate, and rising cloud egress costs creates a moment where thousands of companies need to redo this analysis simultaneously.
MarketMid-market and enterprise IT teams (10K+ companies globally spending $100K-$10M/yr on cloud); competitors are generic FinOps tools like CloudHealth and Spot.io that only optimize within-cloud, leaving the repatriation question unaddressed.
MoatAccumulating normalized cost benchmarks across hardware generations, cloud pricing, and real workload profiles creates a proprietary dataset that improves recommendations over time — a data flywheel no spreadsheet can match.
Intel's make-or-break 18A process node debuts for data center with 288-core Xeon View discussion ↗ · Article ↗ · 301 pts · March 3, 2026

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