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CoreWeave8-K: AI investment

CoreWeave secures $3.1B loan to acquire GPU servers for AI infrastructure expansion.

Read at SEC EDGAR

What happened

The company has secured massive funding specifically for capital expenditures on GPU servers to fulfill customer contracts.

Source

SEC EDGARMay 18, 2026

Current report (Form 8-K)

CoreWeave 8-K

Filing excerpt

entered into a credit agreement ... providing for a $3.1 billion delayed draw term loan facility (the “DDTL 5.0 Facility”)

sec.gov/Archives/edgar/data/1769628/000176962826000236/crwv-20260515.htmRead the full source

Other signals in this filing (5)

Extracted by Autobound

From the Signal API record
Signal
8-K: AI investment

What this signalsFilings often name leadership changes, deals and spending plans.

Form
8-K
Fiscal year end
05/15
Filed
May 18, 2026

More from CoreWeave

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The full record

From the Signal API record

Numbers

Dollar figure
$3.1B (Delayed draw term loan facility to finance capital expenditures, including the acquisition of GPU servers and related infrastructure.)

Details

CIK
1769628
Accession number
0001769628-26-000236
Timeframe
Current quarter
Filing year
2026
Why it matters
Target for AI vendors
Signal category
Technology

Topics and mentions

Technologies

  • GPU servers
  • infrastructure

Vendors

  • Morgan Stanley Senior Funding
  • Inc.
  • U.S. Bank Trust Company
  • National Association
  • U.S. Bank National Association
  • MUFG Bank
  • Ltd.

Vendors named

  • Morgan Stanley Senior Funding, Inc.
  • U.S. Bank Trust Company, National Association
  • U.S. Bank National Association
  • MUFG Bank, Ltd.

Extraction

Confidence
High
Relevance
100%
Sentiment
Positive
Detected
May 19, 2026
signal_type
sec-8k
signal_subtype
aiInvestment

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The API returns more than this page shows

This page shows a preview. The full sec-8k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
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Show the full JSONThe record on this page and the API request

GET /v1/signals/05324d1f-5c4e-41d3-8960-273f07737cf6 returns this record as JSON. POST /v1/companies/enrich returns every signal for coreweave.com.

{
  "signal_id": "05324d1f-5c4e-41d3-8960-273f07737cf6",
  "signal_type": "sec-8k",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-05-19T10:14:18.307+00:00",
  "company": {
    "name": "CoreWeave",
    "domain": "coreweave.com"
  },
  "data": {
    "detail": "The company has secured massive funding specifically for capital expenditures on GPU servers to fulfill customer contracts. This indicates a huge, immediate budget for AI hardware and related infrastructure components like networking, storage, and data center solutions.",
    "metrics": {
      "timeframe": "current_quarter",
      "dollar_context": "Delayed draw term loan facility to finance capital expenditures, including the acquisition of GPU servers and related infrastructure.",
      "dollar_millions": 3100
    },
    "summary": "CoreWeave secures $3.1B loan to acquire GPU servers for AI infrastructure expansion.",
    "excerpts": "entered into a credit agreement ... providing for a $3.1 billion delayed draw term loan facility (the “DDTL 5.0 Facility”)",
    "relevance": 1,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000236/crwv-20260515.htm",
    "filing_date": "2026-05-18",
    "filing_year": 2026,
    "fiscal_year_end": "05/15",
    "sales_relevance": "Target for AI vendors",
    "signal_category": "technology",
    "vendors_mentioned": [
      "Morgan Stanley Senior Funding, Inc.",
      "U.S. Bank Trust Company, National Association",
      "U.S. Bank National Association",
      "MUFG Bank, Ltd."
    ],
    "technologies_mentioned": [
      "GPU servers",
      "infrastructure"
    ]
  }
}

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