{"schema_version":"2026-09-05.topic-graph-v1","canonical_url":"https://www.manufacturing.ai/topics/neoclouds","topic":{"slug":"neoclouds","name":"The Neoclouds","description":"A sourced reference collection on the companies that buy accelerators so other people can rent them — why they report large operating margins and large losses at the same time, why half-year capital spending runs to several times revenue, and why the numbers this sector is argued about are mostly not in its filings.","coverage_notes":"Seventeenth packet, and the first in this index built entirely on financial primaries. Seven sources were consulted: two were retrieved and read, and five were surfaced and set aside with a stated reason. Both reads are company-published results for the same quarter ended 30 June 2026, one of them an exhibit to a Form 6-K filed with the U.S. Securities and Exchange Commission — deliberately two companies rather than one, so that a whole category is not characterised through a single set of accounts. Companies appear here strictly as supply-chain actors: this page offers no view on any security and gives no investment advice, and the figures are used as dated evidence about the industry's capital intensity. Three sourcing decisions shape what is here. First, backlog is described exactly as the company defines it — remaining performance obligations plus a management estimate — rather than as a contract value, because the composite is not what a casual reading assumes. Second, the pattern this collection shares with the custom-silicon one is named in the text and not buried: the metrics the sector is discussed in, including annualised run-rate revenue, contracted gigawatts, named customers, concentration and guidance, are absent from the Form 6-K exhibit entirely, and the other company's release states that guidance would be given on its earnings call instead — so this page uses filed figures and marks the spoken ones unread, producing a thinner but checkable account. Third, one company's net income is explicitly not treated as a read on operations, because a $780.6 million half-year gain on an unrelated equity revaluation sits inside it. Named gaps, in order of value: independent credit analysis of GPU-collateralised lending and, above all, the depreciation assumptions applied to accelerators — whether one is a six-year or a three-year asset changes the reported economics of every company here, and nothing read settles it; the filed quarterly report that would separate the accounting measure from the estimate inside the backlog figure and carry the customer-concentration disclosure, which is the most important risk not established here; the earnings call where the guidance lives; and the private operators in the same category, whose absence makes this a survivorship-biased sample of two listed survivors rather than a description of the category. Not yet editor-reviewed; every assertion reads as reported.","primer":"A neocloud owns accelerators and sells time on them. It is not a general cloud with an AI product bolted on; the accelerators are the whole asset base. That makes these firms the marginal buyer for most of what the rest of this index describes — racks, cold plates, substrates, power contracts — and it makes their published accounts a useful independent read on how much AI demand is contracted rather than merely anticipated.\n\nTwo of them file. For the quarter ended 30 June 2026, CoreWeave reported revenue of $2,575 million, up 112.4% year on year; Nebius reported $582.3 million from continuing operations, stated as 454% growth with its AI cloud segment up 514%.\n\nThe distinctive thing in both accounts is a large operating margin and a large loss at the same time. CoreWeave's adjusted EBITDA was $1,510 million — a 59% margin — alongside an operating loss of $(49) million and a net loss of $(626) million. Interest expense that quarter was $(640) million: the interest bill alone was more than thirteen times the operating loss, and slightly larger than the net loss itself. Nebius shows the same shape smaller, with interest expense up from $4.8 million to $119.1 million as three rounds of convertible notes began to cost. The operations generate cash at a high margin; the capital structure required to own the assets consumes it.\n\nThe building is easier to grasp against revenue. In the first half of 2026 CoreWeave spent $14,117 million of capital expenditure while recognising $4,653 million of revenue — about three times as much invested as earned. Nebius spent $8,130.3 million against $981.3 million, more than eight times. That is not growth funded from operations. It is capital-markets access converted into installed capacity as quickly as possible: Nebius raised $4,337.5 million of convertible notes, $2,846.7 million from treasury share sales and $2,000.0 million from prefunded warrants in six months.\n\nBacklog is the number the sector is argued about, and it needs reading rather than quoting. CoreWeave's approximately $104 billion is defined in its own release as remaining performance obligations *plus* other amounts management estimates will be recognised under committed contracts. The first half is an accounting measure with rules; the second is an estimate. Treating the total as a contract value overstates what has been established.\n\nCapacity is increasingly stated in watts rather than servers. CoreWeave reported active power up about 500 MW to 1.5 GW against approximately 3.7 GW contracted — meaning roughly 2.2 GW secured but not yet energised. That is a claim on grid connections, transformers and turbines whose lead times run to years, which is why it connects directly to the electricity collections here. It is also a schedule rather than an asset.\n\nOne caution generalises beyond this page. The metrics neoclouds are discussed in — run-rate revenue, contracted gigawatts, named customers, concentration, guidance — are largely absent from the documents that carry legal weight. Nebius's Form 6-K exhibit contains none of them. CoreWeave's release says outright that guidance would come on the call instead. The most-quoted numbers are spoken; the filed ones are the ones nobody repeats.\n\nAnd the largest analytical hole is stated plainly: nothing read here establishes what useful life these accelerators are assumed to have. Whether one is depreciated over six years or three changes the reported economics of every company in this category.","primer_note":"Manufacturing.ai's own editorial synthesis, not evidence. Every factual statement in it is separately asserted and sourced in this response's concepts and events.","reviewed_through_date":null,"source_count":2,"inspected_source_count":2,"consulted_reference_count":10,"blocked_reference_count":2,"set_aside_reference_count":8},"figures":[{"kind":"time-series","title":"Half-year capital spending against half-year revenue","caption":"First half of 2026, two operators. Both spent multiples of what they earned — three times in one case, more than eight in the other.","sourceNote":"CoreWeave's second-quarter 2026 release of 11 August 2026: six-month revenue of $4,653 million and six-month capital expenditure of $14,117 million. Nebius's Form 6-K exhibit for the six months ended 30 June 2026: revenue of $981.3 million and capital expenditure on property, equipment and intangible assets of $8,130.3 million. Both are reported figures for the same six-month period.","unit":"First half 2026, millions of US dollars","points":[{"label":"Nebius revenue","value":981.3,"display":"$981m"},{"label":"CoreWeave revenue","value":4653,"display":"$4,653m"},{"label":"Nebius capex","value":8130.3,"display":"$8,130m"},{"label":"CoreWeave capex","value":14117,"display":"$14,117m"}]},{"kind":"time-series","title":"Power secured against power running","caption":"One operator's active and contracted electrical capacity. The difference is a delivery schedule, not an operating asset.","sourceNote":"CoreWeave's second-quarter 2026 release of 11 August 2026: active power expanded by nearly 500 MW during the quarter to reach 1.5 GW, with total contracted power of approximately 3.7 GW. Contracted power is a commitment to future capacity, not capacity in service.","unit":"Electrical capacity, megawatts","points":[{"label":"Active power","value":1500,"display":"1.5 GW"},{"label":"Contracted power","value":3700,"display":"~3.7 GW"}]}],"blocked_references":[{"title":"AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works","publisher":"International Energy Agency","url":"https://www.iea.org/news/ai-is-set-to-drive-surging-electricity-demand-from-data-centres-while-offering-the-potential-to-transform-how-the-energy-sector-works","source_type":"press_release","retrieval_status":"blocked_403","content_inspected":false,"published_at":null},{"title":"Energy and AI — Executive Summary","publisher":"International Energy Agency","url":"https://www.iea.org/reports/energy-and-ai/executive-summary","source_type":"other","retrieval_status":"blocked_403","content_inspected":false,"published_at":null}],"set_aside_references":[{"title":"CoreWeave Q2 2026 earnings call transcript","publisher":"CoreWeave, Inc.","url":"https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf","source_type":"company_website","retrieval_status":"search_result_only","content_inspected":false},{"title":"CoreWeave quarterly report on Form 10-Q","publisher":"U.S. Securities and Exchange Commission (EDGAR)","url":"https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001769628&type=10-Q","source_type":"regulatory_filing","retrieval_status":"search_result_only","content_inspected":false},{"title":"Credit analysis of GPU-collateralised and data-centre debt structures","publisher":"Rating agencies and credit analysts","url":"https://www.moodys.com/","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Nebius quarterly press release and investor presentation","publisher":"Nebius Group N.V.","url":"https://nebius.com/newsroom","source_type":"company_website","retrieval_status":"search_result_only","content_inspected":false},{"title":"NVIDIA Blackwell Architecture Explained: B200, GB200 & PCB Design Impact","publisher":"NextPCB","url":"https://www.nextpcb.com/blog/nvidia-blackwell-architecture-b200-gb200-pcb-design","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"NVIDIA GPU History: GeForce 256 to Vera Rubin","publisher":"IOH Tech","url":"https://iohtechco.com/resources/nvidia-gpu-history-evolution","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Other GPU cloud operators","publisher":"Various","url":"https://www.crusoe.ai/","source_type":"company_website","retrieval_status":"search_result_only","content_inspected":false},{"title":"What is CUDA? Parallel programming for GPUs","publisher":"InfoWorld","url":"https://www.infoworld.com/article/2256401/what-is-cuda-parallel-programming-for-gpus.html","source_type":"journalism","retrieval_status":"search_result_only","content_inspected":false}],"concepts":[{"slug":"accelerator-customer-concentration","name":"Accelerator Customer Concentration","category":"other","canonical_url":"https://www.manufacturing.ai/topics/neoclouds#accelerator-customer-concentration","assertions":[]},{"slug":"ai-compute-demand","name":"AI Compute Demand","category":"other","canonical_url":"https://www.manufacturing.ai/topics/neoclouds#ai-compute-demand","assertions":[]},{"slug":"contracted-backlog","name":"Contracted Backlog","category":"other","canonical_url":"https://www.manufacturing.ai/topics/neoclouds#contracted-backlog","assertions":[{"id":"2d5d664d-a2a7-40cf-8396-dbdfbeb0bc55","predicate":"concept.description","statement":"CoreWeave's approximately $104 billion revenue backlog at 30 June 2026 is defined in its own release as remaining performance obligations plus other amounts management estimates will be recognised under committed contracts — a composite of an accounting measure and an estimate, not a contract value.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"9588b27b-68c2-4474-8d1d-520280b72319","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"CoreWeave Reports Strong Second Quarter 2026 Results","publisher":"CoreWeave, Inc.","url":"https://investors.coreweave.com/news/news-details/2026/CoreWeave-Reports-Strong-Second-Quarter-2026-Results/default.aspx","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2026-08-11","documents":[]}}]},{"id":"6ec082a6-7b2c-47a4-926b-a85200ecc897","predicate":"concept.description","statement":"The metrics this sector is discussed in — run-rate revenue, contracted gigawatts, named customers, concentration, guidance — are largely absent from the filings: Nebius's Form 6-K exhibit contains none of them, and CoreWeave's release states that guidance would be given on the call instead.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"41d60fa6-aa0d-4c5f-a8c3-72c6d82c6926","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Nebius Group N.V. 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Sources that could not be retrieved are counted per-assertion in `reference_only_source_count`, listed for the whole collection in `consulted_references`, and never presented as evidence. `source_count` counts only sources an assertion actually rests on — it deliberately excludes `consulted_references`, so it is never inflated by material nobody could read.","topic_scope":"Assertions and source counts are limited to the topic's current packet lineage. Reusing a concept in another topic does not silently import that other topic's assertions.","rights":"Statements are Manufacturing.ai's own prose. Source excerpts are not redistributed; `quote` is present only where explicitly cleared.","attribution":"Cite as Manufacturing.ai, https://www.manufacturing.ai/topics/neoclouds","correction_url":"https://www.manufacturing.ai/methodology#corrections"}}