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Jeff Denworth

Jeff Denworth is a co-founder of VAST Data, a New York-based data infrastructure company, where he has led product and commercial strategy since December 2016 [1][3][5]. Before VAST Data, he spent roughly two decades in storage and distributed-systems roles, including as SVP of Marketing at CTERA Networks, VP of Marketing and Director of Platform Solutions at DataDirect Networks, Director of Sales at Cluster File Systems (the company behind the Lustre file system), and a business development role at Dataram, where a cold call to Lawrence Livermore National Laboratory about memory upgrades first drew him into large-scale systems work [6][7][8][9][10][15]. He holds a Bachelor of Science in business administration and marketing from The College of New Jersey [11].

Denworth describes VAST Data's founding thesis as a reaction to the flash storage industry's focus on speed rather than cost; he has said customers consistently asked for cheaper capacity rather than faster performance, which led the founding team to design a scale-out flash system intended to eliminate the traditional trade-off between performance and capacity and to displace hard-disk storage entirely [15]. He has framed VAST as following a generational pattern in storage architecture, positioning the company after NetApp and Isilon as the platform suited to the AI computing era, and has said the company deliberately avoided a "faster flash" arms race in favor of a consolidated, scalable pool of storage for GPU-driven workloads [15][12]. According to Denworth, VAST began selling product before formally exiting stealth mode, and by its February 2019 launch it had already sold more than any storage company had in a first year of operation [14]. He has also cited later performance figures, including a $150 million exit run-rate with 350 percent year-over-year growth and close to $100 million in product sold within the company's first two years, which he has characterized as unprecedented in the storage industry [14].

Denworth has described VAST's platform as evolving from a file and object storage layer into a database layer for structured and unstructured data, and subsequently into what he calls a "data engine" of functions and triggers intended to convert unstructured data into structured, queryable information [12]. He has tied this evolution to demand from generative AI developers, large enterprises, and newer GPU cloud providers such as CoreWeave, arguing that AI workloads require affordable, scalable infrastructure for managing the data used to train and run models [12]. In later remarks, he described VAST's 5.4 software release, which added around 50 to 60 features including support for vectors as a data type, as the company's largest release to date and a step toward what he calls a full-stack "AI operating system" combining storage, database, and distributed serverless compute [13]. He has pointed to applications such as retrieval-augmented generation, government smart-city surveillance analytics, and media organizations like the NHL as examples of customers using VAST's platform to reason over large volumes of previously unstructured video and sensor data [13].

Founded

Experience

  1. CoFounder
    VAST DataDec 2016 to Present
  2. SVP, Marketing
    CTERA NetworksFeb 2014 to Dec 2016
  3. VP, Marketing
    DDN StorageMar 2009 to Jan 2014
  4. Director of Platform Solutions
    DDN StorageNov 2006 to Mar 2009
  5. Director of Sales
    Cluster File SystemsJul 2004 to Nov 2006
  6. Business Development Manager
    DataramJun 1999 to Jul 2004

Education

Media & appearances

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