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Contact us to learn how GPUdb can make data processing intuitive for your enterprise.

GPUdb exploits the power of massively parallel graphics processing units, GPUs. We’ve developed patented technology that allows us to repurpose GPUs, originally developed to render 3D graphics, to crunch the numbers for complicated analytics and database operations. All of this happens in the cloud, which means you are free to interact with your data on any device you’d like, through a web browser or software plugin, while the GPUs do the heavy lifting. This is particularly useful for data with heavy emphasis on location or geospatial applications.

Other enterprise database providers cannot exploit the physical hardware advantage provided by a GPU which means that they can cost 10x as much and perform about 1/100th as well as GPUdb.

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Million taxi cab data points.


Million shipping data points.


Million air traffic data points.


Billion tweets

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Enterprise Solutions

GPUdb is currently solving some of the most challenging Big Data problems across a variety of industries, and is used by a wide range of organizations to help them meet and exceed their business demands. Analytics on large and complex data sets, where speed and flexibility are paramount is where GPUdb fits best.


Scalable and available; consistent and predictable performance in multi-tenant environments. Clusters scale linearly and can be comprised of thousands of nodes.


Immediately query events after they occur and unify real-time and historical insights. Aggregate, drill-down, and slice-n-dice N-dimensional data.

Empowering Analytics

GPUdb is built for OLAP. It excels at aggregations and supports a variety of filters and calculations in real-time, without complicated indexing schemes.

The only GPU accelerated OLAP data engine with built in visualization.
Select an industry to learn more.

Replace your current database and see 10X cost reduction and 100X performance improvement.


Case Studies

GPUdb is honored to be working with USPS, INSCOM, PG&E and IronNet. Using the power of thousands of processing cores, we are able to crush the competition when it comes to in-memory data analysis. When you consider the fact that GPUdb has a built in visualization pipeline, it becomes easy to see the ways GPUdb can save you money. Check out our white papers to learn more about our location visualization features and how we compare to old fashioned database engines like Oracle TimesTen and SAP HANA.

We have roots in solving the hardest kinds of problems.

GPUdb, founded in 2006, is a GPU accelerated in-memory distributed database with a native visualization pipeline built in, designed to ingest and conduct on-the-fly analytics on ultra-high velocity big data feeds. Originally designed as a geospatial and temporal computational engine for the United States Army Intelligence and Security Command (INSCOM) at Fort Belvoir, GPUdb evolved into a full enterprise database in 2012 and was commercially available to the public in 2014 by GIS Federal.

Passionate About Your Success.

At GPUdb we are passionate about helping companies to run their businesses smarter and drive profit by turning data into value at unprecedented speeds. We do that by offering a GPU accelerated in-memory distributed database solution that can ingest streams, process transactions, and perform analytics simultaneously, built from the ground up to offer the highest performance and scalability for in-memory analytics.

Innovative and Disruptive Technology.

GPUdb applies an innovative new concept in database design (Patent US8373710 B1) that puts emphasis on leveraging the growing trend of many-core devices (e.g. GPUs). Developers using the GPUdb API interact with the database using traditional RDBMS idioms; developers also query GPUdb like they would a traditional database with operations like select, group by, and join. GPUdb can be used through its native API or its ODBC connector.

Agile, Flexible and Affordable Solution.

GPUdb makes it simple to benefit from high performance in-memory database technology with an easy migration path, an easy installation process, and a solution that is future-proof. GPUdb brings a fresh, new approach to data analytics by offering the right solution that meets your needs and can be ordered and implemented within days, along with unmatched know-how to help you make the most from data – quickly, affordably, and with ease. GPUdb is the only GPU accelerated in-memory distributed database solution that is designed to scale from commodity hardware and co-exists with your infrastructure.


Amit Vij

Chief Executive Officer

CEO of GIS Federal responsible for the vision and making administrative and executive decisions for the company. Background in computer engineering with over a decade of software development experience in the commercial and federal space with an emphasis in analyzing and visualizing big data. Subject matter expert on geospatial intelligence and helped architect GPUdb which is a Graphical Processing Unit (GPU) accelerated distributed database with native geospatial object and rendering support that handles big data.

Amit is also a web entrepreneur, having successfully created and sold a leading consumer website that has been featured in several television news broadcasts and printed publications. Amit received a B.S. In Computer Engineering from the University of Maryland at College Park with a concentration in the fields of Computer Science, Electrical Engineering, and Mathematics.

Nima Negahban

Chief Technology Officer

Nima has developed innovative big data systems across a wide spectrum of market sectors ranging from bio-technology to high speed trading systems. Nima acted as the core developer and architecht of GPUdb working in conjunction with Amit Vij to revolutionize large scale distributed data processing using many core devices. As part of the management team Nima helps define strategic goals, and is actively involved in GIS Federal businness operations. Nima holds a BS in computer science from the University of Maryland.

Richard Willbrant

Chief Financial Officer

Rick is a senior financial executive with over 35 years of experience serving primarily aerospace, defense and manufacturing companies. Prior to joining GIS Federal in 2011, he spent the previous nine years as a Group VP Finance for DRS Technologies, where he helped lead his Group through six-fold growth achieved both organically and via acquisition. Prior to that, for fourteen years, he was the lead financial executive for a leveraged buy-out group, which acquired and operated several manufacturing and defense companies. Rick started his career spending seven years as a CPA with Big 4 accounting firms.

Rick has a BS and an MBA from the Wharton School of the University of Pennsylvania. He lives with his wife Karen in Ocala, FL and the Berkshires in MA.

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