Amazon injected NVIDIA chips worth roughly $8 billion into a special purpose vehicle. It uses sale-and-leaseback arrangements and issues external bonds to handle massive capital expenditures. Against the backdrop of technology giants facing AI infrastructure spending in the hundreds of billions of dollars within the year, the debt pressure on US tech stocks is forcing financing models to evolve. Chips, once counted merely as fixed assets on the balance sheet, are gradually evolving into financial collateral that can be structurally split, issued independently as debt, and generate cash flow.

This design—isolating underlying hardware and supporting debt with compute cash flow—creates a clear cross-market resonance with the compute RWA explored in the crypto market. In an environment where US dollar interest rates and bond-market demand fluctuate, large traditional capital is trying to find external leverage for expensive compute, while on-chain capital is also accelerating efforts to convert hardware assets into tradable, interest-bearing instruments. For $BTC and broader decentralized networks, the tokenization of physical compute assets may be opening a new channel for interoperability between traditional finance and on-chain liquidity.

The depreciation risk caused by rapid chip iteration and how residual value guarantees are allocated remain the most sensitive “nerve” of this kind of structure. Whether the traditional credit market can smoothly absorb this new type of compute collateral will directly determine the upper limit of leverage in tech giants’ AI capital narrative, and provide a concrete reference point for the tokenization of on-chain compute finance.