AI augmentation shows no signs of slowing down. And with hundreds of billions of dollars being spent annually on data centers and GPUs, compute is the biggest cost for anyone building AI products. But even with all this spending, there is still no easy way to put a price on computing or an easy way for companies to hedge their risks when prices fluctuate.
Silicon Data just closed a $30 million Series A to change that. The startup aims to become the benchmark price for GPU rentals and the benchmark by which Wall Street futures contracts are settled. The company plans to begin trading computing futures on CME on October 5, pending regulatory approval.
On this episode of TechCrunch’s Equity podcast, Rebecca Bellan joins Steve Hou, head of research at Silicon Data, to discuss the health of building AI and why data tells a different story than the doom and gloom headlines about chip devaluations and data center outages.
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