The distinction does make a difference and it is the former.
These circular deals are two paired transactions:
1. Nvidia buys equity in an AI lab or cloud provider with cash.
2. The counterparty agrees to buy X number of GPUs from Nvidia and in exchange Nvidia guarantees to rent some Y fraction of the compute if the counterparty cannot find customers.
This structure goes south during a pullback because all this liquidity Nvidia is essentially providing vanishes and contracts rapidly if the counterparty cannot find customers.
The other circular deal type is via private equity and the Special Purpose Vehicle (SPV).
1. The private equity firm loans money to the SPV.
2. The SPV buys GPUs from Nvidia for a data center.
3. Nvidia guarantees to the private equity firm residual value of the GPU which lowers the risk for the lender.
This deal also breaks down if the demand for GPU compute never materializes because now Nvidia is on the hook to the private equity firm (the lender) for the residual value of the GPU, which again saps Nvidia's liquidity.
Basically these deals are extremely sharp double edged swords. As long as demand for compute outpaces the compute capacity Nvidia can provide, Nvidia's revenues grow exponentially. But if demand growth slows, stops, or goes negative, Nvidia is suddenly on the hook for their counterparties' losses. Suddenly Nvidia's cash flow goes extremely negative and the company's financial situation becomes dicey.
The 1 and 2 you listed can be summarized as client buys Nvidia GPUs with equity instead of cash. Clients like Anthropic or OpenAI are not exactly flush with cash right now, so such sn arrangement makes sense. Plus, it reduces Nvidia’s incentive to invest in training a frontier-level Nemotron model.
If they were buying GPUs with equity then it wouldn't show up on Nvidia's quarterly report as revenue, even if the net trade is GPUs for equity. This is the point of the structure, to make cash flows show up as top line revenue. Furthermore, the structure pushes the liabilities off-balance sheet. This means if the flows slow down, in-flows rapidly become out-flows as Nvidia has to cover its liabilities. This is the problem with the trade, it puts everything on a knife's edge.
Comments
The distinction does make a difference and it is the former.
These circular deals are two paired transactions:
1. Nvidia buys equity in an AI lab or cloud provider with cash.
2. The counterparty agrees to buy X number of GPUs from Nvidia and in exchange Nvidia guarantees to rent some Y fraction of the compute if the counterparty cannot find customers.
This structure goes south during a pullback because all this liquidity Nvidia is essentially providing vanishes and contracts rapidly if the counterparty cannot find customers.
The other circular deal type is via private equity and the Special Purpose Vehicle (SPV).
1. The private equity firm loans money to the SPV.
2. The SPV buys GPUs from Nvidia for a data center.
3. Nvidia guarantees to the private equity firm residual value of the GPU which lowers the risk for the lender.
This deal also breaks down if the demand for GPU compute never materializes because now Nvidia is on the hook to the private equity firm (the lender) for the residual value of the GPU, which again saps Nvidia's liquidity.
Basically these deals are extremely sharp double edged swords. As long as demand for compute outpaces the compute capacity Nvidia can provide, Nvidia's revenues grow exponentially. But if demand growth slows, stops, or goes negative, Nvidia is suddenly on the hook for their counterparties' losses. Suddenly Nvidia's cash flow goes extremely negative and the company's financial situation becomes dicey.
The 1 and 2 you listed can be summarized as client buys Nvidia GPUs with equity instead of cash. Clients like Anthropic or OpenAI are not exactly flush with cash right now, so such sn arrangement makes sense. Plus, it reduces Nvidia’s incentive to invest in training a frontier-level Nemotron model.
If they were buying GPUs with equity then it wouldn't show up on Nvidia's quarterly report as revenue, even if the net trade is GPUs for equity. This is the point of the structure, to make cash flows show up as top line revenue. Furthermore, the structure pushes the liabilities off-balance sheet. This means if the flows slow down, in-flows rapidly become out-flows as Nvidia has to cover its liabilities. This is the problem with the trade, it puts everything on a knife's edge.