Machine Learning applications
with the power and scalability of the Cloud
What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence (AI) with the objective of developing tools that allow machines to learn automatically through experience, without having been explicitly programmed for it.
These disciplines are the result of organisations’ recent and growing interest in having organised data that facilitates decision making.
Data storage, its process analysis, and prediction generation through Artificial Intelligence models require a large amount of available computing resources to perform complex calculations at specific times. With our cloud technology, you have access to resources when you need them, the latest hardware and software technology, with the peace of mind that your data is safe in our Data Centres. Additional resources are also available when you need them, so you can reduce training and model processing times. And, of course, you only pay for what you use.
Plus, it's now easier than ever before because, with 1 click, you can install the most popular applications used by data scientists for Machine Learning onto our Cloud Servers.
Advantages of deploying Machine Learning models on Cloud Servers
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Make the most of your company’s data
Fierce competition on the market means that data driven companies with knowledge and agility in decision making are at a competitive advantage. Start profiting from your company's data.
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Infrastructure in 30 seconds
Start developing your Machine Learning models in 1 click and forget about server configuration.
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Analyse, explore and visualise
Analyse your data with the most extensive development frameworks on the market and develop Machine Learning models using Python and R.
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With the advantages of the Cloud
Data analysis requires a high demand for resources at specific times. Cloud technology allows you to access the resources you need for as long as you need them.
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Flexibility
Scale server resources as needed for CPU-intensive workloads and model training. Use multiple CPUs to reduce analysis and training times.
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Latest generation hardware
With the most powerful Intel CPUs on the market, available in our TIER III data centers.
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Pay-per-use
Pay only for the resources that you actually use.
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Secure data
Access and store your data securely with additional data storage services.
This open source application offers a development environment that is browser accessible for developing using notebooks. Notebooks are one of the most widely used solutions in Data Science and Machine Learning projects.
RStudio is an integrated development environment (IDE) designed for statistical computing using the R programming language. You can analyse data, generate models and visualise graphs easily.
This open source platform allows you to develop software containers. You can deploy your Artificial Intelligence models on Docker to develop your own Machine Learning applications.
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Data analysis project support throughout the entire life cycle
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Storage solutions: deploy SQL Server, MySQL, MariaDB
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Data analysis, exploration and visualisation
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Machine Learning model training and optimisation
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Deploy open source containers on your Docker server to access multiple development environments and deploy your Machine Learning applications
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