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The AI Realist (airealist.ai — independent research publication by Julien Simon) — Curated cross-market GPU/ai-infrastructure credit research corpus: hand-assembled GPU generation-by-generation depreciation and rental-value decay curves (70-80% rental value loss within two years on H100-class hardware), ratings-vs-CDS divergence series (Moody's first Aaa data-center securitization at SOFR+120bp against CoreWeave CDS at 640-700bp), securitization deal structures (facility counts, lease rates, tranche pricing), and residual-value-swap / collateral-floor pricing mechanics. Value is in the manual…
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Curated cross-market GPU/ai-infrastructure credit research corpus: hand-assembled GPU generation-by-generation depreciation and rental-value decay curves (70-80% rental value loss within two years on H100-class hardware), ratings-vs-CDS divergence series (Moody's first Aaa data-center securitization at SOFR+120bp against CoreWeave CDS at 640-700bp), securitization deal structures (facility counts, lease rates, tranche pricing), and residual-value-swap / collateral-floor pricing mechanics. Value is in the manually reconciled primary-source extraction across rating-agency, CDS, SEC-filing and rental-market feeds that no single public source carries together
From 2 yearsCoverage Financials · Information TechnologyAsset class Fixed income · Structured products · Derivatives
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The AI Realist (airealist.ai — independent research publication by Julien Simon) — Curated cross-market GPU/ai-infrastructure credit research corpus: hand-assembled GPU generation-by-generation depreciation and rental-value decay curves (70-80% rental value loss within two years on H100-class hardware), ratings-vs-CDS divergence series (Moody's first Aaa data-center securitization at SOFR+120bp against CoreWeave CDS at 640-700bp), securitization deal structures (facility counts, lease rates, tranche pricing), and residual-value-swap / collateral-floor pricing mechanics. Value is in the manual…
Airealist offers (Alternative, Sentiment, Reference) — ~10-20 long-form analyses per month at a few thousand words each, each carrying 15-30 numbered primary-source citations ⇒ on the order of 100-500 sourced (claim, citation) pairs monthly; the article examined here alone is ~40K characters with 26+ distinct references.
Training/eval corpora for credit-analysis and structured-finance LLM agents needing citation-grounded GPU-collateral reasoning; collateral depreciation assumption calibration for lenders and ABS investors; counterparty-risk and correlated-depreciation stress modeling; fine-tuning data for AI-infrastructure capex commentary generation; back-testing divergence signals between ratings and CDS on infrastructure credits
The data is with 2 years of history.
Coverage spans US; Financial Exchanges & Data, IT Consulting & Other Services; alternative, sentiment, reference; fixed_income, structured_products, derivatives, equities.
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