SpaceX is in advanced discussions to raise approximately $40 billion through a combination of bank loans and investment-grade debt, with Apollo Global Management expected to lead the effort, specifically to acquire Nvidia artificial intelligence chips. Reports from multiple outlets on October 6 and 7, 2026, confirm the talks involve roughly $10 billion in bank loans and $30 billion in investment-grade bonds, with Pacific Investment Management Co. among potential participants. The transaction, if completed, is targeted for closing in 2027 and would rank among the largest debt financings tied directly to AI hardware purchases. 

This comes months after SpaceX’s record $86 billion initial public offering in June 2026 and follows its earlier $25 billion bond issuance. The move underscores the intense capital intensity of scaling AI compute capacity amid surging demand for advanced processors. SpaceX’s pursuit of $40 billion in financing led by Apollo to buy Nvidia AI chips shows the broader shift toward debt-funded AI infrastructure buildouts, leveraging the company’s existing compute contracts, data center scale, and exclusive Nvidia partnership to support revenue growth from AI services while navigating credit market conditions.

Apollo Global Management is reported to be leading the $40 billion financing package for SpaceX’s planned Nvidia chip purchases, helping structure and place the debt with a wide range of institutional investors. According to reporting by the Financial Times and confirmed by sources speaking to Reuters, the deal structure splits into about $10 billion of bank loans and $30 billion of investment-grade debt. Apollo’s role builds on its prior involvement in Nvidia-linked financing platforms announced in August 2026, where it joined BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR in efforts aimed at mobilizing more than $500 billion for AI infrastructure. The firm has also arranged earlier loans totaling roughly $7 billion for vehicles acquiring Nvidia chips leased to xAI, which SpaceX later integrated. Discussions remain preliminary according to some sources, including those cited by Bloomberg, and could still conclude without a completed transaction. SpaceX shares declined as much as 1.8 to 2 percent in after-hours and premarket trading following the reports, while Nvidia shares rose modestly. Neither SpaceX, Nvidia, nor Apollo has publicly confirmed the talks, and PIMCO declined to comment when asked by Reuters.

The potential transaction would use the acquired GPUs as collateral in a structure that relies primarily on the investment-grade debt market, which SpaceX accessed successfully with a $25 billion multi-tranche bond sale shortly after its June IPO. Credit conditions have tightened since that issuance, with AI-related bonds experiencing wider spreads and higher yields as fixed-income investors grow more selective. Analysts note that the market continues to assume GPUs retain meaningful residual value over roughly seven years, supported by ongoing scarcity of high-performance computing capacity. Apollo’s leadership would facilitate distribution across insurers, pension funds, and other investment-grade buyers, given SpaceX’s current credit profile. The expected 2027 close provides time for final documentation and investor marketing amid evolving market conditions for large-scale AI financings. This positions Apollo as a key intermediary in one of the year’s most significant hardware-linked debt deals.

The reported financing package allocates approximately $10 billion to traditional bank loans and $30 billion to investment-grade bonds, creating a blended structure designed to attract both commercial lenders and long-term fixed-income investors. Sources familiar with the matter told Reuters that this mix would fund a large Nvidia chip order, with the overall $40 billion figure confirmed across Financial Times, Bloomberg, and CNBC reporting. The investment-grade portion aims to appeal to institutions that can purchase BBB-rated or similar paper, including insurers and pension managers. SpaceX’s earlier $25 billion bond deal in June 2026 demonstrated strong demand at the time, though subsequent market shifts have increased borrowing costs for AI-related issuers. The bank loan component provides shorter-term flexibility, while the longer-duration bonds match the multi-year deployment timeline for the chips. PIMCO is among the asset managers in discussions for portions of the package, according to multiple reports. The structure reflects standard practices for large corporate financings that separate senior bank exposure from broader bond distribution.

If completed in 2027, the package would represent a substantial addition to SpaceX’s balance sheet, which already carried nearly $40 billion in debt as of second-quarter 2026 financials. Using the GPUs themselves as collateral addresses investor concerns about asset recoverability, given the sustained demand for Nvidia hardware across hyperscale and specialized AI operators. Market participants observe that credit spreads for AI infrastructure debt have widened, requiring issuers to offer higher yields to clear large deals. SpaceX’s post-IPO access to public markets and its diversified revenue streams from Starlink and emerging AI compute contracts provide supporting context for lenders evaluating repayment capacity. The dual-tranche approach allows the company to lock in chip supply without immediate equity dilution following the large June offering. Details on exact maturities, covenants, and pricing remain under negotiation as talks progress.

Demand for Nvidia’s AI processors continues to drive unprecedented financing volumes as companies race to secure scarce high-performance chips for training and inference workloads. SpaceX’s $40 billion package fits into a larger pattern where hyperscalers and specialized operators have issued roughly $200 billion in investment-grade debt in the first half of 2026 alone, nearly double the full-year 2025 total according to industry data cited in market reports. JPMorgan Chase estimates that AI spending across the hyperscaler ecosystem could climb from about $700 billion in 2026 to $1 trillion in 2027. Morgan Stanley projects that external financing for AI infrastructure may reach $1.5 trillion by 2028. Nvidia’s dominant position as the primary supplier of advanced GPUs has made its hardware the focal point of these capital raises. SpaceX has publicly committed to using Nvidia hardware exclusively for its data centers, citing the Vera Rubin architecture as optimal.

The scale of individual orders has grown dramatically, with SpaceX’s planned purchase ranking among the largest single chip-related financings reported to date. Nvidia itself partnered in August 2026 with six major financial firms, including Apollo, to create independent compute financing platforms targeting more than $500 billion in third-party capital. These platforms treat Nvidia compute capacity as a fungible and transferable asset class that can be financed and redeployed across customers. SpaceX’s existing large-scale deployments already make it a significant Nvidia customer, and the additional order would further deepen that relationship. Investors monitor residual value assumptions carefully, as rapid technological iteration can affect secondary-market pricing for older generations. The combination of scarcity, performance leadership, and financing innovation continues to concentrate capital flows toward Nvidia-centric projects.

SpaceX’s Memphis-area Colossus facilities already host substantial Nvidia chip inventories that form the foundation for further expansion. As of late September 2026, Colossus 1 operated approximately 230,000 chips comprising 150,000 H100, 50,000 H200, and 30,000 GB200 units, while Colossus 2 held 110,000 GB200 and 440,000 GB300 chips for a combined 550,000 processors at that site. Total capacity across both facilities stood near 780,000 Nvidia chips. Elon Musk stated on X that an additional 220,000 GB300 chips were scheduled to become operational shortly thereafter, followed by another 220,000 in November and a potential third batch of 220,000 by late December if conditions allowed. Successful completion of those deployments would push Colossus 2 alone above 1.2 million chips and the overall complex toward 1.44 million.

Power and networking constraints shape the precise deployment cadence, with the unusual 110,000-unit increments linked to fiber-optic switch capacity. The facilities support internal Grok model development as well as external compute leasing. Independent estimates place current IT power draw in the hundreds of megawatts, with further expansions projected to increase both compute equivalents and capital cost significantly. SpaceX has emphasized exclusive reliance on Nvidia hardware for these clusters, aligning procurement strategy with the architecture Musk has described as superior. The rapid build rate, including earlier phases that brought substantial capacity online in under 100 days, demonstrates operational capability to absorb large additional shipments. Further chip acquisitions financed by the proposed $40 billion package would extend this trajectory into 2027 and beyond.

SpaceX has secured multi-year compute leasing agreements that convert its Nvidia-powered capacity into contracted revenue streams. Anthropic committed to pay $1.25 billion per month through May 2029 for access to roughly 325,000 Nvidia GPUs, equating to $15 billion annualized. Google contracted for $920 million per month from October 2026 through June 2029, covering about 110,000 GPUs. Additional arrangements include a $150 million monthly commitment involving Reflection AI for GB300 capacity and a separate unnamed customer expected to generate $1.1 billion monthly beginning in December. Combined, these deals have added tens of billions in annualized run-rate revenue, materially altering SpaceX’s financial profile relative to its 2025 total revenue of $18.7 billion.

These contracts demonstrate the commercial viability of leasing surplus or dedicated capacity while retaining ownership of the underlying hardware. Revenue recognition ramps with capacity availability, creating a direct link between chip deployment speed and near-term financial results. Second-quarter 2026 disclosures already reflected meaningful AI-segment contributions, and further capacity additions are expected to accelerate that trend. Analysts view the leasing model as a way to monetize capital expenditures more rapidly than pure internal model training alone would allow. The structure also provides visibility into multi-year cash flows that can support debt service on large hardware purchases. Continued expansion of the Colossus clusters positions SpaceX to pursue additional customers as global AI demand persists.

SpaceX completed the largest U.S. IPO on record in June 2026, raising approximately $85.7 billion after full exercise of the underwriters’ option and pricing at $135 per share. The offering valued the company in the multi-trillion-dollar range at debut. Shortly afterward, the company issued $25 billion in senior unsecured notes across multiple durations, encountering strong investor demand at the time. Second-quarter 2026 financials showed total debt approaching $40 billion. The proposed $40 billion package would expand that base further while remaining within the investment-grade market that the company has already accessed. Starlink connectivity continues to generate the majority of operating profit, providing a cash-flow foundation that lenders evaluate alongside the newer AI contracts.

Equity raised in the IPO reduced the need for immediate additional share issuance to fund growth initiatives. Debt financing for chips preserves equity capital for other priorities while matching the useful life of the hardware more closely to repayment schedules. Credit markets have grown more discriminating since the June bond sale, with wider spreads observed on AI-related paper. SpaceX’s diversified segments, launch services, satellite broadband, and AI infrastructure, offer multiple repayment sources. Analysts such as Dan Ives of Yorkville have described the chip financing approach as strategically sound because it supports the compute flywheel without forcing further equity raises so soon after the IPO. Market reaction to the reports included a modest share-price decline, reflecting investor assessment of incremental leverage.

SpaceX has publicly committed to building its data center infrastructure exclusively on Nvidia hardware. During the second-quarter 2026 earnings discussion Musk stated that the company views the Vera Rubin architecture as the optimal AI computer and places high value on the multi-level partnership with Nvidia. This exclusivity simplifies procurement, software optimization, and supply-chain coordination compared with multi-vendor approaches. Nvidia holds a disclosed stake of approximately 122.8 million SpaceX shares, valued at roughly $21 billion at recent prices, originating from its earlier investment in xAI before the combination. The relationship therefore includes both supplier and shareholder dimensions.

The partnership extends to joint design work on specialized payloads, including Starmind AI satellites intended to carry Nvidia Rubin GPUs and Vera CPUs for orbital computing. Prototype launches are targeted for 2027. Ground-based Colossus capacity remains the immediate focus of the current financing discussions. Exclusive reliance concentrates volume with a single supplier, which can improve negotiating leverage on pricing and allocation during periods of tight supply. It also aligns software stacks and operator expertise around one ecosystem. Continued large orders reinforce Nvidia’s revenue concentration among a smaller set of high-volume customers while giving SpaceX preferential access to successive chip generations.

Industry forecasts indicate that aggregate spending on AI infrastructure is set to rise sharply. JPMorgan Chase projects hyperscaler AI spending could move from roughly $700 billion in 2026 to $1 trillion in 2027. Morgan Stanley estimates external financing needs for the broader AI infrastructure buildout may total $1.5 trillion by 2028. These figures encompass chips, power, cooling, networking, and facilities. Debt has become a primary funding tool as companies seek to avoid excessive equity dilution while securing multi-year hardware allocations. SpaceX’s $40 billion package represents one of the larger individual contributions to this aggregate demand.

The capital intensity stems from both the high unit cost of advanced GPUs and the supporting infrastructure required to operate them at scale. Power availability and interconnection timelines often constrain deployment speed more than chip supply alone. Financing structures that treat the chips as collateral or that create transferable compute capacity have proliferated as a response. Apollo’s participation in Nvidia’s broader $500 billion platform initiative illustrates how private capital is being organized to meet these needs. SpaceX’s combination of contracted leasing revenue and internal model requirements provides a concrete use case within the larger spending wave. Market participants continue to assess whether residual values and utilization rates will support the leverage levels now being contemplated across the sector.

Since SpaceX’s June 2026 bond issuance, credit markets have shown greater selectivity toward AI-related debt. Spreads have widened, and yields have risen as investors demand higher compensation for perceived risks around capital intensity and technological obsolescence. Fixed-income managers remain willing to participate in investment-grade structures when collateral quality and cash-flow visibility are judged adequate. The proposed SpaceX package is expected to rely primarily on the investment-grade market, with GPUs serving as key collateral. PIMCO’s reported interest signals that large bond funds continue to evaluate space-sector and AI-linked paper as viable allocations.

Discussions remain at an early stage according to some sources, leaving room for adjustments in size, tenor, and covenants before any final commitment. Longer maturities would better match the multi-year useful life of the chips, while shorter bank facilities provide interim flexibility. The 2027 target close allows time for documentation and marketing in a market that has already absorbed substantial AI debt issuance earlier in 2026. Investors weigh SpaceX’s Starlink cash generation and contracted compute revenue against the absolute size of the incremental leverage. Successful placement would demonstrate continued capacity in investment-grade markets for well-structured AI hardware financings. Unsuccessful or delayed talks would require alternative funding sources or slower chip procurement.

Market analysts have characterized the reported financing as a logical extension of SpaceX’s compute strategy. Dan Ives of Yorkville described the plan as a smart strategic move that fuels the interaction among launch, Starlink, and AI activities without requiring near-term equity issuance. He noted that locking in Nvidia supply now allows capacity to come online and generate revenue subsequently. At $40 billion, the package approaches the company’s projected 2026 revenue range near $44.5 billion, according to some estimates, highlighting the scale relative to current operations. Ives expects investors ultimately to respond positively given the growth outlook for AI data infrastructure.

Other observers point to the contracted leasing revenue as a mitigating factor for debt-service capacity. The multi-year Anthropic, Google, and additional customer agreements create visibility that pure internal R&D spending would lack. Residual-value assumptions for the GPUs remain central to credit analysis, with industry participants currently modeling roughly seven-year retention of meaningful worth under conditions of continued scarcity. The exclusive Nvidia relationship simplifies both technical and commercial evaluation. Overall analyst commentary frames the financing as consistent with the capital requirements of rapid AI capacity expansion rather than an isolated event.

Following the initial reports on October 6, 2026, SpaceX shares declined approximately 1 to 2 percent in after-hours and premarket trading, while Nvidia shares recorded modest gains of 0.2 to 0.6 percent. The reaction indicates investor focus on the additional leverage relative to the post-IPO capital structure. SpaceX closed the prior session near $172 before the softer extended trading. Nvidia’s positive move aligns with the implication of a large new order from a high-profile customer. Neither company has issued formal statements confirming or denying the talks.

Longer-term market assessment will depend on final terms, successful placement, and the pace at which new capacity converts into recognized revenue. Existing compute contracts already contribute substantial annualized figures, providing a partial offset to leverage concerns. The modest size of the share-price move relative to the $40 billion figure suggests that investors had already anticipated continued heavy capital expenditure on AI infrastructure. Credit-market pricing of any eventual bonds will offer a clearer signal of institutional comfort with the structure. Equity holders continue to monitor the balance between growth investment and balance-sheet metrics.

The SpaceX discussions illustrate how AI hardware demand is reshaping both corporate finance and supply-chain dynamics. Large, multi-year chip orders now routinely require specialized financing vehicles that treat compute capacity as a distinct asset class. Nvidia’s August 2026 partnerships with major asset managers formalized this approach by creating platforms intended to mobilize hundreds of billions in third-party capital. SpaceX’s package, if completed, would constitute a concrete deployment of that model at substantial scale. The use of GPUs as collateral and the involvement of investment-grade buyers expand the investor base beyond traditional technology lenders.

Successful execution would reinforce the pattern of debt-funded capacity additions among operators that possess contracted revenue or strong internal utilization prospects. It would also highlight the concentration of advanced GPU supply with Nvidia and the corresponding concentration of capital flows. Power, cooling, and networking constraints remain parallel challenges that financing alone cannot resolve. The 2027 close timeline aligns with planned satellite and ground-system expansions that could further integrate orbital and terrestrial compute. Overall, the thesis underscores the capital intensity that continues to define the current phase of AI infrastructure development.

1. How does the reported $40 billion financing compare in size to SpaceX’s recent capital raises? 

The package would exceed the $25 billion bond issuance completed shortly after the June 2026 IPO and would approach the scale of the equity capital raised in the record offering itself. Combined with existing debt near $40 billion as of mid-2026, it would represent a material expansion of leverage focused specifically on hardware acquisition rather than general corporate purposes. The dual structure of bank loans and investment-grade bonds allows access to different investor pools while matching the multi-year deployment horizon of the chips.

2. What role does Apollo Global Management play beyond leading the SpaceX package? 

Apollo participates in Nvidia’s broader August 2026 financing platforms designed to mobilize more than $500 billion for AI infrastructure and has previously arranged several billion dollars in loans for Nvidia chip purchases leased to xAI entities. Its involvement brings both structuring expertise and distribution capacity across institutional fixed-income investors. The firm’s repeated appearance in Nvidia-linked transactions positions it as a recurring intermediary in large AI hardware financings.

3. How many Nvidia chips does SpaceX currently operate and plan to add? 

As of late September 2026 disclosures, Colossus facilities collectively housed approximately 780,000 Nvidia processors, with Colossus 2 alone at 550,000. Musk outlined additional batches of 220,000 GB300 chips scheduled for sequential activation through the remainder of 2026, potentially lifting totals above 1.2 million at Colossus 2 and toward 1.44 million overall if all phases complete on schedule. The proposed financing would support further increments beyond those near-term deployments.

4. What contracted revenue supports potential debt service on the chip purchases? 

Multi-year agreements include Anthropic’s $1.25 billion monthly commitment, Google’s $920 million monthly arrangement, a $150 million monthly Reflection AI-related deal, and an unnamed customer expected to contribute $1.1 billion monthly from December. These contracts convert installed capacity into visible cash flows that can underwrite hardware financing. Revenue recognition scales with available compute, creating a direct operational link between chip deployment and financial results.

5. Why has SpaceX chosen exclusive reliance on Nvidia hardware? 

Company statements cite the Vera Rubin architecture as the preferred AI computer and emphasize the value of a deep partnership across multiple levels. Exclusivity simplifies optimization, procurement, and supply allocation during periods of constrained advanced GPU availability. Nvidia’s equity stake in SpaceX further aligns the commercial relationship.

6. How have credit markets responded to AI-related debt issuance in 2026? 

After strong demand for SpaceX’s June $25 billion bonds, subsequent AI infrastructure paper has experienced wider spreads and higher required yields as investors became more selective. Fixed-income participants continue to evaluate deals with strong collateral and contracted cash flows, yet overall pricing has become less favorable than earlier in the year. Large packages therefore require careful structuring and marketing.

7. What is the expected timeline for completing the financing? 

Reports indicate a target close in 2027, allowing time for negotiation of final terms, documentation, and investor placement. Some sources describe the talks as still early-stage and subject to possible termination without a completed deal. The schedule aligns with longer-term chip delivery and data-center expansion plans.

8. How does this financing fit into broader AI infrastructure spending forecasts? 

Industry estimates project hyperscaler AI outlays rising toward $1 trillion in 2027 and external financing needs reaching $1.5 trillion by 2028. SpaceX’s package constitutes one of the larger individual contributions within that aggregate, illustrating the capital intensity required to secure advanced processors and supporting infrastructure at current demand levels.

This content is for informational purposes only and does not constitute investment advice. Investments carry risk. Please do your own research (DYOR).