SpaceX commits to lease about $40bn of GPUs from an Apollo-managed fund
A binding commitment letter, not a closed financing: rent over roughly five years on GPU pods delivered from the first half of 2027, with closing expected before year end.
- Money & business
- Compute & infrastructure
- Minor
SpaceX said in an SEC filing dated 26 October that on 24 October it had entered a binding commitment letter to enter a master finance lease with an entity managed by Apollo Global Management. Under the lease, the Apollo-managed lessor would buy graphics-processing-unit pods and related equipment and lease them to SpaceX for use at data centres of its choosing.
The filing gives the structure. Equipment would be delivered in tranches, each on its own lease schedule of about five to five and a quarter years. Rent is payable quarterly in advance and consists of one-twentieth of the financed cost of the tranche plus a fixed rate on the outstanding balance and certain costs; the rate is set at pricing, before the lease is signed. SpaceX expects aggregate principal payments over the terms to total about $40bn. The lease schedules are expected to begin in the first half of 2027, when the GPUs are delivered.
The transaction is not complete. The filing says entry into the master finance lease is subject to specified closing conditions and is expected before year end, and it carries the usual warning that terms or timing may change or the deal may not close. It does not name a supplier or say which SpaceX business will use the equipment. SpaceX’s AI segment, which includes xAI following the February merger, is the obvious candidate, but that is inference rather than anything the document states.
CNBC reported that Elon Musk had announced on X on 25 October that the financing had closed, and headlined it as a closed $40bn debt deal. The filing a day later described a commitment to enter into a lease rather than a completed one. CNBC also reported Musk predicting that more than 200 “neocloud” companies, which rent out AI computing capacity, would fail or consolidate as the financing environment tightens; that is his forecast, not a finding.
The commitment was one of several large financings of AI hardware disclosed in the same fortnight, alongside Meta’s stock sale and the capital spending reported by the largest cloud providers.