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Open, composable infrastructure restores cost control and architectural flexibility.
By stabilizing CPU run-rate costs and avoiding proprietary lock-in, organizations regain financial headroom to invest in AI selectively. Transparent pricing, x86 compatibility, and platform-first design enable infrastructure and operations teams to serve multiple constituencies without inheriting long-term roadmap constraints.
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The Myth of Specialized Infrastructure: Why Core Compute Economics Determine AI Outcomes
AI transformation depends less on specialization and more on governable core compute economics.
As enterprises modernize platforms and pursue AI, rising cloud costs are increasingly driven by opaque pricing, forced bundling, and hyperscaler roadmaps optimized for AI-first services. When core compute economics become unpredictable, innovation slows, and AI initiatives become harder to fund and scale.
