Oracle 305 bp, +12 on the week; Intel 147, +49; Amazon 100, +16 — chips wider, enterprise tighter; CDX IG tightened 1 to 61.6 · irates.today
AI capex · credit, equity, collateral, holders · public disclosure only

Oracle 305 bp, +12 on the week; Intel 147, +49; Amazon 100, +16 — chips wider, enterprise tighter; CDX IG tightened 1 to 61.6

Series through2026-11-06567 trading days from 2024-09-02

The stack, in two cuts

Six pages · opens in a new window
New to the stack? Start with the primer. Seven pages: the industry stack with its dependencies drawn, a capacity operator's capital stack with the collateral-exposed rungs marked, how each tier funds itself, and who is exposed, in order.
Open the primer (PDF) ↗

Two structures are easy to confuse. The industry stack is who sells what to whom — tokens at the top, electrons at the bottom, money flowing down and capacity flowing up. Each player's capital stack is who gets paid first when that player's money stops. The page's readings only make sense against both, so the primer draws each, marks who depends on whom, and marks the rungs that are actually long the GPU collateral — the secured lenders and lessors who hold it, and the vendor who guarantees it.

Credit: single-name protection

Five-year protection, the chain vs CDX IG, bp

OracleBroadcomNvidiaMetaAmazonSpaceXCDX IG

The chain, latest prints

Busiest single names, last 20 sessions

Biggest movers, last 20 sessions vs the 20 before

5y medians · names with six or more priced prints in each window

Single-name CDS from the SEC security-based swap tape — the file that names the reference entity — for hyperscalers and model owners, chips, enterprise hardware, data-centre landlords, power, sponsor-financed capacity and the leveraged tier. Five-year protection as a daily median of prints; upfront-quoted names converted to a running spread. The last column is the market's own classification: the share of a name's prints written on the 500 coupon, the high-yield convention, rather than the investment-grade 100 — a name migrating towards 500 is being reclassified by dealers whatever its rating says. Beneath it, the whole single-name market: the busiest names and the biggest movers, whoever they are.

Equity: the same names on the single-stock swap tape

Traded price, rebased to 100 at the window start

OracleNvidiaBroadcomMetaCoreWeaveMicron

The chain, latest prints

Single-stock swap prints on the chain, per day

The SEC's single-stock swap file names the underlier and carries the traded price on every print, so the equity leg comes from the tape rather than a vendor: each name's price is the daily median of the prices its total-return swaps traded at, with the day's 10th–90th percentile range, and the activity columns count the synthetic financing and short book written on the name. OTC single-stock options are rare on this file and are counted where they appear; the listed-index volatility complex is on the Equity page. Prices are swap prints, not exchange closes: they bracket the day rather than mark it.

The collateral: what an hour of a GPU rents for

GPU rental series not on file yet.

GPU-secured leases and loans are written against hardware with no public mark — bare clusters clear in private requests for quote — so the nearest observable curve is the rental rate: weekly provider-median on-demand rates across the cloud GPU market, in dollars per GPU-hour, with the prior-generation discount (H100 against B200) and the 12- and 36-month reservation medians where listed. The rental rate bundles the chip with power, cooling and a building; the chip without those is worth less, and the difference is the price of a megawatt slot. An implied residual value backed out of this curve, net of power and curtailment, is in preparation; its method will be published here before the series goes live. The observations that bare hardware clears bilaterally with no public mark, that operators in power-capped halls retire working chips when the megawatts earn more under denser racks, and that the sub-50 MW tier buys power unhedged at the node are Dean Lee's, in correspondence, 26–28 October 2026, and are used with his permission.

Who holds it: the statutory books by layer

Holdings by layer, with the layer's most-traded name in protection

What the parsed Schedule D rows of eight life-insurance books show of each layer of the chain, at book value and as a floor rather than a total. The insurers are not the leveraged edge — the neocloud credits are almost absent — but their lower-stack exposure is the real estate: securitised colocation leases whose tenants are the chain, carried as investment grade and repriced only when leases are. Refreshed when statements are filed; no position is attributed to a filer here.

What to watch

On the tape

Off the tape

The rental curve
H100 spot against purpose-built inference capacity; the 36-month H100 reservation ceasing to clear; then the on-demand median. Spot cracks first.
Power
Interconnection completions against H100 rent (the second life ends when the megawatts are reallocated); negative compute-spread hours in ERCOT and PJM; whether operators hedge at all.
The vendor
Contingent support becoming contractual: hour-linked revenue in a filing, or a lease where the vendor rather than a vehicle is lessor. The day the maker sells hours, its CDS becomes the series to watch.
The tenant
Lease terms against the tenant's commitment terms in securitisation documents; termination-for-convenience language in capacity contracts; the first non-renewal notice at a powered site. And the terms of new reserved-capacity agreements moving against the buyer — higher minimum commitments, firmer price floors — which is how capital recovery shows up before any default does. And what the tenant earns: the first causal field estimate for a retail tenant is about $5 per consumer a year, all conversion and no basket growth (Fang, Yuan, Zhang, Donati and Sarvary, Management Science, forthcoming; via Dean Lee, 7 November) — the number the rental curve ultimately clears against, and one that favours cheap older inference capacity over new.
The books
Q3 statutory statements, 15 November: new neocloud names, data-centre ABS concentration, the Oracle position — and, in Schedule DB Part C, whether chain names appear as replication reference entities and what cash leg they were attached to. The NAIC's RSAT exposure (Ref #2026-09, August 2026) would confine cash legs to NAIC 1–2 and force one downgraded below NAIC 2 out of the structure; if adopted, a new unwind mechanism to watch.
The futures
CME's H100 and B200 rental-index futures, pending review: the first public forward curve for the collateral's earning power, to be set against the reservation-implied forwards here.

The order things moved in October — single names first, equities second, the index last — is the page's organising claim, and these are the readings that would confirm or break it. Each is a series on this site or a public record it links to; none is a forecast.

Research notes on the chain

Further reading. Dean Lee, whose observations on the collateral are credited above, writes on the same economics from the operator's side: The eight-hundred-billion-dollar depreciation schedule and Why deep pockets cannot cure accelerated depreciation (2 November 2026) — the duration mismatch between a 36–48-month asset and fixed-coupon debt, and why a deep-pocketed buyer at thirty cents is an auction, not a rescue — and The ten trillion dollar financing wall (3 November 2026), on what $2 trillion a year of AI debt asks of a $20 trillion bond market and why lenders look through the vehicle to whoever bears the demand risk. On the revenue side of the same ledger: The late token tax (4 November 2026), on what long-context generation costs the operator, and The five-dollar conversion ceiling (7 November 2026), on the first causal field estimate of what a retail tenant earns from inference — about $5 per consumer a year, all of it conversion, none of it basket size. Not affiliated with the Observatory.

Longer pieces written from these series. Each is a PDF; the figures can be reproduced from the published JSON.

Method & caveats

Two regulators' public tapes, one open rental dataset and the statutory blanks; nothing licensed.

Two files, two regulators
Index credit (CDX, iTraxx) and index equity derivatives report to the CFTC and appear in its Part 43 files, which mask single-name underliers. Single-name CDS and single-stock swaps are security-based swaps and report to the SEC, whose public files name the reference entity and the underlier. This page is built from the SEC files; the Credit and Equity pages from the CFTC's. A move that happens in one and not the other — as in October 2026, when the chain repriced name by name while the index barely moved — is visible here and in neither file alone.
Single-name CDS
Entities keyed by RED code. Five-year = prints with 4.4–5.6 years to expiry, daily median of traded spreads. Where a name is quoted upfront on the 500 coupon, the running spread is implied with a flat hazard and 40% recovery and flagged *; the tape does not sign the upfront, so 100-coupon upfront prints are counted but not priced.
Equity prices and activity
Single-stock total-return and price-return swaps matched to the name by ISIN or RIC. Price is the tape's traded-price field: daily median with the 10th–90th percentile range. Notional is USD-equivalent at fixed rough FX for non-USD names. Prints count NEWT executions on the day; a print is a swap, not a share, and the same underlying exposure can print more than once along a dealer chain. Options are counted where the file carries them; they are few.
Collateral
GetDeploying weekly provider-median GPU rental rates (CC BY 4.0, attribution required): each provider's own median first, then the median across providers. On-demand, spot and reservation terms as listed. Shown on each day of the week in the chart builder. The framing of the chip as a consumable option on power availability with a roughly 24-month strike, the slot-value decomposition and the curtailment caveat are Dean Lee's (deanlee.info), credited where used.
Holders
CUSIP-level Schedule D Part 1 rows parsed from publicly posted annual and quarterly statements, grouped by issuer into the chain's layers; book value; coverage is measured against the blanks' own subtotals and is partial for some filers, so every figure is a floor.
Known limits. The SEC files cover trades reported to DTCC's US security-based swap data repository: US persons and their counterparties, not the whole market. Swap prices are transaction prices on the swap, which can embed financing terms; they are not exchange closes. The chain list is editorial and public: the names are those the notes name, and a name is added when it prints. Nothing here is a recommendation on any security.
Data terms. Derived aggregates only from DTCC public dissemination data, an open rental-price dataset and insurers' public statutory statements. Not investment advice. Requests and corrections go at the bottom of this page.

Requests

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Open-Sourced Rates Observatory · a ruxton.ai research product · About & methodology · rates@ruxton.ai
Derived from DTCC Data Repository (U.S.) public dissemination data (CFTC Part 43 and SEC security-based swap files), GetDeploying's GPU rental price history (CC BY 4.0) and insurers' publicly posted NAIC statutory statements. Aggregates only; not investment advice.

About this page · The companies building, financing and powering AI capacity, followed through every public record that names them: five-year protection from the SEC's single-name credit file, traded prices and synthetic-financing activity from the SEC's single-stock swap file, the rental rate of the hardware that secures the leverage, and what life insurers' statutory blanks say they hold of each layer. The CFTC index tape — CDX, iTraxx and their options — stays on the Credit page; the index and volatility complex on Equity. This page is the names.