Observed Signal · Sep 28, 2026 · Policy Update · Source: t3n · Impact: 4/5 · Sentiment: Negative
Oracle Invokes Force Majeure on $18B AI Data Center
Oracle has invoked a force majeure clause to shield itself from financial obligations on Project Jupiter, an $18 billion AI data center in New Mexico slated to serve OpenAI under the Stargate initiative. The construction is halted by environmental lawsuits, energy supply issues, and local protests. Oracle and developer Blue Owl reassure that commitments remain, but banks like Santander, Jefferies, and BNP Paribas are seeking to offload the loans at a discount on secondary markets. Analysts warn that only 35% of planned AI infrastructure projects will materialize due to energy and funding gaps. Morgan Stanley estimates $2.9 trillion in global data center investment needed by 2028, with hidden debts among big tech reaching $1.65 trillion, Oracle owing over $270 billion.
This is a major financial and operational setback for one of the largest AI infrastructure projects under the Stargate initiative, with Oracle's invocation of force majeure signaling potential liquidity issues in AI data center financing that could impact the broader AI/cloud ecosystem.
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Key Takeaways & Evidence Grounding
- Oracle invoked force majeure on Project Jupiter, an $18 billion AI data center in New Mexico.
- The data center is part of the Stargate initiative and will serve OpenAI.
- Construction is currently blocked by environmental lawsuits, energy supply issues, and local protests.
- Banks including Santander, Jefferies, and BNP Paribas are trying to offload loans at 89-91 cents on the dollar.
- Analysts estimate only 35% of planned AI infrastructure projects will be realized due to energy and financing hurdles.
Connected Companies & Entities
12 Entities mapped“Meta is mentioned among the five large corporations that have taken on hidden debts....”
“Bernstein analyst Chad Dillard states that only 35% of planned projects can be realized....”
“Amazon is cited as one of the hyperscalers that can cover only about half of the investment from operational cash flow....”
“Alphabet is mentioned among the five large corporations that have taken on hidden debts....”
“BNP Paribas is one of the banks providing a loan for Project Jupiter....”
“Microsoft is cited as one of the hyperscalers that can cover only about half of the investment from operational cash flow....”
“Oracle has sent a notice to Blue Owl invoking force majeure to shield itself on the data center project....”
“The computing power of the data center is intended to benefit OpenAI....”
“Morgan Stanley estimates the global investment need for data centers at $2.9 trillion by 2028....”
“Jefferies is one of the banks providing a loan for Project Jupiter....”
“Santander is one of the banks providing a loan for Project Jupiter....”
“Google is cited as one of the hyperscalers that can cover only about half of the investment from operational cash flow....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Samsung to invest $1B in AI infrastructure firm Helix
Samsung Electronics and five affiliates will invest a combined $1 billion in Helix Digital Infrastructure, an AI infrastructure company launched by KKR and backed by Nvidia. Samsung Electronics contributes $500 million, with the rest from Samsung C&T, Samsung SDS, Samsung SDI, Samsung Life Insurance, and Samsung Fire & Marine Insurance. Helix, led by former AWS CEO Adam Selipsky, focuses on hyperscale data centers, power generation, transmission, and fiber-optic networks. The investment adds to over $10 billion already committed by other investors including KKR, Kuwait Investment Authority, Nvidia, and Vistra. The move allows Samsung to leverage its semiconductor, cooling, data center construction, and battery capabilities to expand in the AI infrastructure market.
Modal Labs closing in on $750M round at $15.75B valuation
AI inference infrastructure provider Modal Labs is nearing a $750 million funding round led by Accel at a $15.75 billion valuation, according to a source. This would more than triple its valuation from $4.65 billion in May. The round comes amid surging demand for inference services, with other startups like Baseten, Fireworks, and Fal also raising at higher valuations. Modal Labs, founded in 2021 by Erik Bernhardsson and Akshat Bubna, provides infrastructure for training and running AI models without managing servers. The company has surpassed $300 million in annualized revenue as of May. The funding talks follow a security incident in July where a customer's data was compromised, but Modal's platform was not breached.
GLM-5.3 Sparse Attention Impact on DRAM Memory TAM
This article analyzes the impact of sparse attention mechanisms, specifically DeepSeek Sparse Attention (DSA) used in Z.ai's GLM-5.3 model, on the total addressable market (TAM) for DRAM memory, including HBM and NAND. It explains that while sparse attention reduces KV cache memory and bandwidth during the attention operation, it does not reduce overall memory capacity requirements because the top-k selection still requires full context in HBM. The article discusses system optimizations like HiSparse, which offloads KV cache to host DRAM to overcome capacity bottlenecks. It also provides detailed performance and cost comparisons for serving GLM-5.3 on different hardware (GB200, GB300, MI355X) using inference engines like Dynamo-SGLang, Dynamo-TRT-LLM, and ATOM, highlighting cost-efficiency and interactivity trade-offs. The analysis includes a deep dive into GLM-5's architecture, including the lightning indexer, MLA configuration, and post-training pipeline.
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