From Selling Chips to Guaranteeing AI Infrastructure! NVIDIA Corporation (NVDA.US) Set to Back Emerging Cloud Player Nscale to Support Anthropic's Computing Power Expansion

Title context: From Selling Chips to Guaranteeing AI Infrastructure! NVIDIA Corporation (NVDA.US) Set to Back Emerging Cloud Player Nscale to Support Anthropic's Computing Power Expansion Text: The "AI chip superpower" NVIDIA Corporation (NVDA.US) is actively negotiating to provide significant credit support for emerging cloud player Nscale's large-scale AI computing infrastructure project. According to a person familiar with the matter, NVIDIA Corporation is discussing providing a credit guarantee for one of Nscale's large AI data center-type computing infrastructure facilities, which Anthropicthe developer of the globally popular Claude series of AI applications and one of the world's leading AI application companiesplans to use. The person, who requested anonymity because the discussions are private, said the credit support would help secure power and construction costs for an AI data center campus in West Virginia that will be equipped with cutting-edge computing clusters from NVIDIA Corporation's flagship AI GPU series. As the dominant supplier in the AI processor field, NVIDIA Corporation has already invested in Nscale and other AI computing service providers. UK-headquartered Nscale is stepping up efforts to bring a series of large data centers into operation, including the flagship campus in West Virginia. The company is also pursuing an initial public offering, but some investors have disputed its US$30 billion target IPO valuation. A Nscale representative declined to comment, while NVIDIA Corporation did not immediately respond to a request for comment. The Information previously reported on the discussions between NVIDIA Corporation and Nscale, saying the credit guarantee could amount to several billion dollars. NVIDIA Corporation CEO Jensen Huang said earlier this month that he had asked the British company to "work day and night" to overcome challenges in bringing some of its data centers into operation. In recent weeks, the broader market for technology companies tied to so-called "neocloud" AI computing infrastructurecompanies like Nscale that mainly provide AI computing powerhas been volatile. Another neocloud company backed by NVIDIA Corporation, Australia's Firmus Grid, abandoned a US$30 billion IPO plan in Australia; South Korea's Elice also had a rocky first day of trading. Media previously reported that Nscale had discussed a second deal worth US$45 billion with Anthropic, involving a second building at the West Virginia campus. For investors focused on NVIDIA Corporation's long-term bull case, the potential event of the chip giant guaranteeing Nscale both carries significance for stabilizing the industrial chain and adds risks that investors need to examine. In the short term, if the credit support is implemented, it would help sustain purchases of GPUs and supporting equipment; over the medium and long term, valuation support depends on whether the project can be commissioned on schedule, whether customers can continue to pay, and whether the guarantee exposure matches the supplier's cash strength. If neocloud players like CoreWeave encounter financing obstacles in the future, it will also inevitably push upstream players to assume more credit responsibility; if end-market cash returns remain insufficient, pressure could then extend further to core suppliers. NVIDIA Corporation's planned guarantee highlights that the leader of the AI computing industrial chain is actively repairing a major AI financing gap, but the guarantee news alone cannot be used to conclude that the trend of rising AI financing costs has been resolved, or that pessimistic pricing of an AI bubble bursting is warranted. From Selling Chips to Providing Credit Support: NVIDIA Corporation Seeks to Unblock the Financing Bottleneck for AI Order Fulfillment NVIDIA Corporation is discussing providing a credit guarantee for Nscale's West Virginia data center, which Anthropic is expected to use, with a focus on covering power and construction costs. The core significance of this arrangement is to use the chip supplier's credit strength to help the computing operator overcome the financing threshold before the project is completed, powered up, and put into operation. Against the backdrop of credit pressure on neocloud companies and investors' intense scrutiny of cloud giants' cash flow, the AI industrial chain is facing a more specific question: demand and contracts already existwho will bear the upfront capital and project risks needed to turn these orders into deliverable computing power? The reported transaction is still under discussion, and the guarantee amount and specific terms have not been disclosed. The multi-billion-dollar credit support cited by The Information cannot be equated with the second US$45 billion computing deal that Nscale and Anthropic are negotiating; the latter is the scale of a potential commercial contract, not the amount of NVIDIA Corporation's guarantee. The dispute over Nscale's US$30 billion target valuation in its IPO pursuit shows that its expansion plan faces two tests at once: equity capital pricing and project financing. The latest financial reports from cloud giants precisely explain why the market has begun to raise financing requirements. In the third quarter, Alphabet Inc. Class C cloud revenue grew 103% year over year to US$30.709 billion, with operating profit of US$11.121 billion, but Alphabet group's free cash flow for the quarter was negative US$9.065 billion; Amazon.com, Inc. AWS revenue grew 39.3% year over year to about US$46 billion, with operating profit of about US$17.8 billion, but Amazon.com, Inc.'s free cash flow over the past twelve months was negative US$42.4 billion. Cloud business growth and profitability are real, and the cash drain from expansion investment is also realgroup negative free cash flow cannot be directly equated with operating losses in the cloud business, but it means construction speed exceeds internal cash generation capacity over the same period, requiring more funding to bridge the gap. The market is repricing around this funding gap. On October 29, Alphabet Class A shares closed down 12.6%, and the Philadelphia Semiconductor Index fell about 1.4%, ending a four-session winning streak; after Amazon.com, Inc. reported earnings, its shares fell about 7% at one point in after-hours trading. Beyond cash consumption, Alphabet's advertising business performance and Amazon.com, Inc.'s overall results and guidance also affected trading outcomes. Therefore, a more accurate judgment is: strong cloud growth alone is no longer sufficient to support valuations, and investors require growth, capital investment, and cash returns to withstand scrutiny simultaneously. The pressure reflected in credit markets is even more differentiated, with yields on AI infrastructure-related credit debt and CDS spreads continuing to surge. The yield on CoreWeave's 2031 bonds reached 15.76% on October 22; its five-year CDS, although having narrowed to 1,041.4 basis points on October 27, remained at a high level. Using a simplified model with a 40% recovery rate and constant hazard rate, this spread corresponds to an approximately 58% five-year cumulative risk-neutral implied default probability, which includes risk premium and cannot be regarded as an actual default forecast. Meanwhile, on October 29, Alphabet's five-year CDS rose 5.3 basis points to 84 basis points, and the cost of default protection for Meta and Broadcom Inc. also rose the same day. The market is not concluding that these companies carry the same risk, but is collectively asking: when will expanding AI investment reduce reliance on external financing? Guarantees Can Protect Orders, but Will Also Accelerate the Extension of Customer Risk to AI Chip Suppliers From the perspective of project financing mechanisms, the role of a credit guarantee is to add a layer of repayment protection for creditors or other counterparties within an agreed scope. If NVIDIA Corporation ultimately provides a legally binding guarantee, relevant financiers may reduce their reliance on Nscale's standalone credit quality, thereby improving financing availability, interest rates, or collateral requirements. But a guarantee itself is not a cash injection, nor does it mean NVIDIA Corporation has already repaid debt on Nscale's behalf; how much risk is ultimately borne depends on the guarantee cap, covered obligations, tenor, trigger conditions, and recourse arrangements. Why this support falls on the power and construction segments has a clear industrial logic. GPU orders can only be converted into continuously billable computing services after power supply, cooling, networking, and data center facilities are completed. For densely operated large-model training and inference clusters, the absence of any key supporting facility could prevent expensive equipment from achieving expected output. Construction delays could also lengthen the time gap between interest expenses and revenue start-up. Therefore, by helping customers solve construction financing, NVIDIA Corporation is in effect increasing the probability that its own chip orders are converted into operational clusters, customer revenue, and subsequent purchases. NVIDIA Corporation has previously used similar arrangements. Its fiscal 2027 second-quarter 10-Q disclosed that, including the SB Energy arrangement signed in August, the maximum total exposure of relevant guarantees was US$108.5 billion, of which the SB Energy portion was US$105 billion, and guarantees related to land, power, and building entities for other AI cloud projects were US$3.5 billion. The SB Energy arrangement takes effect after conditions are met according to project stages, with payment triggered by events such as default by specified tenants. This figure represents the maximum potential exposure stipulated by contract, not cash paid or expected losses, nor is it the guarantee amount for this Nscale project. For investors focused on NVIDIA Corporation's bull case, the key change is the deepened link between returns and risks. Chip suppliers originally mainly bore product competition, customer procurement, and collection risks; after adding equity investments and project guarantees, they may also bear losses from customer construction delays, financing difficulties, and contract performance. If the same round of AI spending slowdown simultaneously weakens chip sales and customer solvency, suppliers could face a double blow of revenue pressure and rising guarantee risk.