PNY introduces VAST Data Platform, expanding enterprise products.


February 5, 2024 by our News Team

PNY Technologies partners with VAST Data to offer state-of-the-art, scalable, cost-efficient, and analytics-driven data solutions for businesses integrating AI and HPC into their operations, solidifying their position as a key contender in the enterprise market.

  • Availability of VAST Data's data platform through PNY
  • Scalability and flexibility with VAST Data's DASE architecture
  • Cost-effective data management with VAST Similarity and simplified management


PNY Technologies, a important player in the memory and storage solutions industry, has recently expanded its enterprise portfolio by teaming up with VAST Data, a leading AI data platform company. This strategic partnership reflects PNY’s commitment to delivering state-of-the-art solutions that cater to the evolving needs of businesses integrating AI and HPC into their core operations. By leveraging the powerful capabilities of VAST Data Platform’s DataStore, PNY aims to enhance its enterprise products with exceptional performance, scalability, and cost efficiency. This move further solidifies PNY’s position as a key contender in the enterprise market.

One of the key highlights of this collaboration is the availability of VAST Data’s data platform through PNY. for its simplicity and transformative performance, this innovative platform has earned a reputation for serving data to the most demanding supercomputers across the globe. PNY customers can now benefit from this revolutionary solution.

Scalability is another area where VAST Data’s industry-disrupting DASE architecture shines. With this architecture in place, businesses can enjoy nearly limitless scale as their data sets and AI pipelines expand. This flexibility allows organizations to adapt to the ever-changing demands of today’s increasingly data-driven world.

In addition to scalability, the partnership between VAST Data and PNY also focuses on cost-effective data management. By leveraging VAST Similarity, a data reduction technique, enterprises can achieve significant cost savings. Moreover, infrastructure efficiency and simplified management further contribute to making data management more cost-effective.

The collaboration also emphasizes enhanced data analytics capabilities. The VAST DataBase empowers businesses to gain deeper insights from both structured and unstructured data, accelerating decision-making processes and fostering data-driven innovation across various business functions.

PNY’s commitment to exceptional customer support extends to VAST Data solutions as well. Customers can rely on PNY for reliable technical assistance and guidance throughout their journey with VAST Data’s data platform. Steven Kaner, Senior Vice President of Sales and Marketing at PNY, expressed his excitement about bringing VAST Data’s platform to their customers, emphasizing the alignment with their mission to provide reliable, high-performance products in a data-centric world.

Gregg Machon, Vice President of Worldwide Channels at VAST Data, highlighted the significance of partners like PNY in enabling data-intensive organizations to pursue AI initiatives. He emphasized how PNY plays a crucial role in unlocking the full potential of data by providing performant, secure, resilient, and scalable data infrastructure specifically designed for AI and deep learning workloads.

For more information about this partnership, interested parties can visit www.pny.com/VAST. Additionally, those attending nVidia GTC can learn more about the collaboration by visiting Booth #626.

PNY introduces VAST Data Platform, expanding enterprise products.

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Background Information


About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

About PNY: PNY Technologies, Inc., doing business as PNY, is an American manufacturer of flash memory cards, USB flash drives, solid state drives, memory upgrade modules, portable battery chargers, computer locks, cables, chargers, adapters, and consumer and professional graphics cards. The company was founded in 1978 and is headquartered in Parsippany-Troy Hills, New Jersey. PNY has been a key player in providing reliable and innovative storage solutions for various applications.

PNY website  PNY LinkedIn

Technology Explained


HPC: HPC, or High Performance Computing, is a type of technology that allows computers to perform complex calculations and process large amounts of data at incredibly high speeds. This is achieved through the use of specialized hardware and software, such as supercomputers and parallel processing techniques. In the computer industry, HPC has a wide range of applications, from weather forecasting and scientific research to financial modeling and artificial intelligence. It enables researchers and businesses to tackle complex problems and analyze vast amounts of data in a fraction of the time it would take with traditional computing methods. HPC has revolutionized the way we approach data analysis and has opened up new possibilities for innovation and discovery in various fields.





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