Graphics Processing Units (GPUs) have become one of the most important types of computing technology, particularly in enterprise. Designed for parallel processing, GPUs are used in a variety of applications, including graphics and video rendering. Although they’re best known for their capabilities in gaming, GPUs are becoming more popular for use in Artificial Intelligence (AI) and Machine Learning (ML).
Over time, GPUs have become more flexible and programmable, enhancing their capabilities beyond the gaming sphere. This allowed graphics programmers to create more interesting visual effects and realistic scenes with advanced lighting and shadowing techniques. Other developers also began to tap into the power of GPUs to dramatically accelerate additional workloads in high performance computing (HPC), deep learning, and more.
A GPU works on SIMD (Single Instruction Multiple Data) or SIMT (Single Instruction Multiple Threads), which is essentially SIMD + multi-threading. Compared to a CPU, it has much higher core or processor count. However, each of these processors are much simpler because they implement simple logic. Put another way, it really is strength in numbers.
The colossal computing power available from cloud-based GPUs can extract and process business intelligence from huge datasets with incredible speed and accuracy.
GPU Data Processing functions by assigning parts of an application to the GPU, as opposed to using traditional architecture, which uses CPUs that are much slower and require significantly more hardware. CPU-based systems also rely on a level of manual processes by users and data scientists, like indexing and downsampling.
By contrast, GPU-based systems take in entire datasets, enabling users to instantly and interactively visualise, query and power data workflows over billions of lines of data.
The power that’s available from GPUs has completely reshaped IT architecture over the past few years, with the ability for computational resources to automatically scale based on immediate requirements. Over the next few years, the vast majority of organisations are expected to have cloud-based systems to meet their data, infrastructure and software needs.
Why you should choose GPU systems over legacy CPU systems
Whilst a CPU handles all the core functions in a computer, a GPU acts as a specialised microprocessor with the ability to take over when intensive computations are required.
By using state of the art GPU processing, BrytlytDB has been proven to be the fastest data processing engine available on the market. With BrytlytDB’s speed of thought processing, we enable customers to unlock the full potential of every data asset they have, with the ability to explore the power of innovative data visualisation tools such as Tableau and TIBCO Spotfire.
Over the next few years, the vast majority of organisations are expected to have, or be moving to, cloud-based systems to meet their data, infrastructure and software needs. The ability to upscale as an organisation’s growth demands makes a good business case in itself and is an increasingly appealing proposition for enterprises of all sizes. We use GPUs to uncover value in large datasets where legacy CPUs can’t.
GPUs handle specific tasks incredibly well, making them perfect for taking on repetitive and specialised computing tasks at speed. This gives them a significant speed advantage over what’s previously been achievable with CPUs.
GPU-accelerated systems are also inherently well suited to provide interactive visualisation in real-time for enormous datasets.
With Brytlyt, you can find meaning in massive amounts of data at the speed of thought. Our end-to-end platform delivers decision support and critical business insights.
Our GPU-Powered Analytics Workbench
Our analytics visualisation workbench lets our clients generate smarter intelligence at incredible speed. This information can be processed in many ways. Reports and summaries are good, but interactive dashboards that give users the power to make decisions in real time deliver the agility required to be way ahead of the competition.
By understanding the importance of data-driven businesses, we help our clients find meaning in their data with rapidly accelerated analytics.
Easy Integration
Our platform can be easily integrated into most existing business environments, instead of the arduous overhaul of existing systems. Brytlyt is the future-proofed approach to data processing and analytics.
Why use Brytlyt GPU-Accelerated Systems?
- Brytlyt helps you interactively query, visualise, and power data science workflows over billions of records with a wide range of accelerated analytics solutions.
- Our end-to-end platform delivers decision support and business-critical insights.
- Built on PostgreSQL, we empower users to analyse more data, faster, and with ease.
Our unique GPU patented IP technology has been developed to be at the very forefront of the latest transformational analytics revolution. Our next-generation platform with ‘speed of thought’ analytics is built for ambitious businesses who want to harness their rapidly growing datasets of today, for tomorrow.
Contact us today to find out more.
