To be ahead of your competitors, having the best technology will invariably give you an advantage. Whether you’re an F1 racing team or have the ability to act on data insights faster than anyone else, speed has always been a priority and will continue to be.
When GPUs were originally designed, their intended use was purely based around processing graphics. However, over time, people started to appreciate and understand their application for a wide range of other processing tasks. Fast forward to today and an entire industry has grown around the potential power that’s on offer from GPUs.
Brytyt’s accelerated GPU analytics specifically enable internal teams to gain access to enhanced insights that can give enterprises the competitive edge. As more and more businesses rely on leveraging data for use in strategies, the differing factor lies in what data companies rely on.
Those with access to the most recent data, and with increased flexibility, will be fully equipped to tackle unexpected opportunities or challenges. Naturally, the faster your systems are, the quicker you can react to something, whether that be in business, research or an AI based application. The sky really is the limit.
Designed for parallel processing, GPUs are now used in a variety of applications. Although they’re best known for their capabilities in gaming, GPUs have become more flexible and programmable, enhancing their capabilities beyond the video game landscape. GPUs have now become one of the most important types of computing technology, particularly in enterprise – with applications in Artificial Intelligence (AI) and Machine Learning (ML).
The fastest GPUs can extract and process business intelligence from huge datasets with incredible accuracy and speed.
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.
GPU based systems aren’t just faster in terms of processing power, but manual processes found in CPU-based systems, done by users and data scientists, like indexing and downsampling, invariably slows things down. In contrast, GPU-based systems take in entire datasets, enabling users to instantly 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. Within the next few years, the vast majority of organisations are expected to have cloud-based GPUs as part of their data, infrastructure and software needs.
Why you should choose GPU systems over legacy CPU systems
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, alongside the ability to explore the power of innovative data visualisation tools such as Tableau and TIBCO Spotfire.
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.
Finding meaning in data – powered by GPUs
Companies of all sizes are now increasing their use of ML to gather a broad range of data from multiple touchpoints – which can be both labour and time intensive to sort through, as well as understand and explain. Visualisation offers a solution by speeding up this process and providing the ability to speed up and present information to key decision-makers and stakeholders in a coherent way, especially in fast paced, dynamic markets.
No matter how sophisticated technology becomes, there’s always a human element at the end of every major decision making in a business. To digest, rationalise and apply a human perspective on data.
Data Visualisation aims to go beyond the techniques used in more familiar visualisation methods, such as graphs, pie charts and Venn diagrams. Instead, advanced Data Visualisation software uses more sophisticated representations such as heat mapping.
These new techniques require advanced systems that can collect raw data, process it and transform it into accessible graphical representations for humans to see data storytelling.
The increased popularity of Big Data has made Data Visualisation more topical than ever. Companies of all sizes are now increasing their use of ML (Machine Learning) to gather a broad range of data from multiple touchpoints – which can be both labour and time intensive to sort through, as well as understand and explain. Visualisation offers a solution by speeding up this process and providing the ability to speed up and present information to key decision-makers and stakeholders in a coherent way that they can fully take on board, especially in fast paced, dynamic markets.
Tomorrow’s technology, today
Brytlyt is the future-proofed approach to data processing and analytics. Instead of overhauling your existing systems, our platform can be easily integrated into your current business environment. Plus, its adaptable functionality means you can continue to develop the platform as your needs change.