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Jeff Denworth

Cofounder, Vast Data

Search every verified Jeff Denworth interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Jeff Denworth, cofounder of VAST Data, introduced the company’s DataEnclave offering on September 22, 2026. In the announcement, he described the product as a new approach to confidential AI, designed to protect sensitive enterprise data and proprietary AI model weights during accelerated computing. Denworth stated that conventional encryption methods predate the AI era and face new challenges when applied to models operating across GPUs and high-speed interconnects. He explained that DataEnclave uses cryptographic attestation and independent key control, allowing model builders and enterprise customers to enforce policy on their respective data sets while deploying models in hosted or air-gapped environments. Denworth also discussed the broader context for the launch, noting that many frontier model builders have historically been limited in where they can deploy their offerings due to data confidentiality concerns. He cited that 50% of today’s workloads and data reside on premises or in co-location facilities, which he said has left a significant portion of the world’s data outside the reach of frontier models. He announced initial cloud partners for DataEnclave, including Buzz, G42, NScale, and Sharon AI, and said the solution aligns with the focus of VAST’s AI cloud partners, which he described as powering a few million GPUs across an ecosystem of data centers optimized for deploying newer hardware.

Recent appearances

Notable quotes

“For frontier model builders, the lack of data confidentiality means that their offerings have been constrained to a limited number of cloud platforms that these models can be deployed upon. And so many frontier models have no clear path to deploying their software into a customer's air-gapped data center. 50% of today's workloads and today's data resides on premises or in a customer's co-location facility. And that m”

“I don't think we care. And we have the luxury of not caring. But if I have to sit in front of a 200-year-old bank and explain to them why they need AI and that they're going to have to go through a 15-year process with 17 different systems integrators and it's just a complete waste of everybody's time while the market is growing exponentially, and so from our perspective we don't suffer AI tourists well and we don't ”

“First of all, I think the economics have changed. If I go back two years ago, people were selling GPU by the hour. And now if you can sell tokens as a service, you can basically take that same asset and sell it for two times as much. And so then that takes you down a path of building inference services that ultimately can drive a much better margin profile for organizations.”

“The biggest deals that we have in our pipeline are actually KV cache oriented. So I don't know how much you've been tracking that tools like Dynamo and LLM, but the rise of disaggregated computing and disaggregated inference has created a new market with respect to storage for very very high throughput KV cache storage.”

“I got your one exabyte AI storage cluster right here buddy kind of like a New Yorker. And so at one exabyte I want to just like put this into perspective that is 1% of the world's flash that gets produced annually that vast built into a single system. that system supports an environment that has 300,000 GPUs working on it and is bigger than anything that anybody in the market has ever made including organizations lik”

“our um rule of 40 was actually 228 which means that if you add up our our cash flow positivity and our growth we basically printed the best number that an investor's ever seen that we've talked to.”

Other executives at Vast Data

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