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Back to The Programmable Data Center — Evan Conrad, SF Compute, with Evan Conrad.

How Does a Healthy Compute Price Curve Work?

Evan Conrad says a healthy compute price curve is a hump, and it can point either way depending on the buyer. Capacity that is about to reach the present cannot be sold in the past, so unsold time has to drop in price to clear, the way milk about to expire is marked down. The price then rises toward where it wants to sit. Compute further out is worth less, because buyers pay more for a shorter lead time.

A B300 today breaks that smooth picture. Running inference on one can bring in about $40 an hour when the chip is fully used, and that figure is for basically any model. A rough case at about half utilization is near $25 an hour. Buying the same B300s costs about $5 to $6 an hour. One of those prices has to change. A buyer who expects prices to rise may also pay more than planned for capacity that comes online later, in order to lock it in if no further supply can be bought. Which side of the curve appears depends on who is buying.

Transcript

The Programmable Data Center — Evan Conrad, SF Compute ·

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More from this episode

  1. How Does GPU Compute Trading Deliver the Hardware?Evan Conrad says GPU compute trading delivers the machines, which futures markets call physical settlement. SF Compute began by trying to sublease a cluster.
  2. Why Is Next Month's Compute Capacity Easier to Sell?Evan Conrad says capacity that starts a month from now can be bought and sold all the time, so liquidity shows up easily.
  3. How Long Are GPU Clusters Financed?Evan Conrad says GPU clusters in the broader market are financed for three to five years, and the payments cover that period.
  4. Why Is Live GPU Inference Harder to Interrupt Than a Batch Job?Evan Conrad says live GPU inference is harder to interrupt than a batch job because live customers expect the service to stay online, while a batch job can…
  5. What Is a Programmable Data Center?Evan Conrad says a programmable data center is a data center SF Compute has virtualized, so a customer gets the control that used to come with owning the…

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