The rapid acceleration in data gathering is generating major changes in GEOINT and with GPU-accelerated tools, you can now tap into this data for fast geospatial analytics.
Blog posts about Thought Leadership
The United States Department of Transportation (USDOT) along with many partners from the industry and academia are researching to evaluate the ability of connected vehicles to generate and communicate different types of messages using cellular and dedicated short range communications (DSRC) infrastructure.
There are many reasons why analyzing energy market data is more difficult, and more important in today’s global economy than in the past. In the US, we have gone from being a net consumer of oil and gas to the largest producer in the world.
Learn why GPUs are the future for general purpose analytics.
While 2016 was the year of the GPU for a number of reasons, the truth of the matter is that outside of some core disciplines (deep learning, virtual reality, autonomous vehicles) the reasons why you would use GPUs for general purpose computing applications remain somewhat unclear.
This morning Google Cloud announced the upcoming availability of powerful, innovative GPU instances. As a an beta tester of the new offering we had the opportunity to take the instances for a spin and test them out against the 1.2 billion row taxi dataset.
The rise of modern business intelligence (BI) has seen the emergence of a number of component parts designed to support the different analytical functions necessary to deliver what enterprises require.
On Friday, Amazon announced the availability of large GPU instances on AWS marking a new chapter in the GPU revolution.
Speed is increasingly defining the user experience from B2C to B2B. No matter how attractive the application, if it does not perform from a speed perspective, it might as well be ugly because that is the sentiment increasingly attached to slow, plodding applications on the web, mobile and in the enterprise.
Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. This movement is led by Google, Facebook, Amazon, Microsoft, Tesla, Baidu and others who have quietly but rapidly shifted their hardware philosophy over the past twelve months.