AI and deep learning

​The workloads in the field of artificial intelligence (AI) are affected by the increasing complexity of the models in use. The increase of the number of variables at stake and data observed, in addition to the search of an accurate result, leads to an increasing demand of calculation resources.

In complex AI projects, the HPC section on GPU or CPU can provide the necessary push to speed up and optimize the training operations of data models and preparation; the accurate selection of hardware for the storage of large quantity of information and for inference operations remains extremely important.

Every industry is touched by artificial intelligence: from the medical field, where pathologies can be localized with very high percentages, to the automotive industry for the implementation of self-driving, up to robotics and social networks. 
In brief: quicker iteration times. This aspect is fundamental for companies and/or researchers in order to be more productive in their work and reduce processing times.

Never waste time again crossing your fingers hoping that the approach works properly at the first try (with the disadvantage to wait for a new work cycle and start from scratch)!

At the same time, artificial intelligence requires to process trillions of calculations per second or more, hence it must be performed on a sophisticated hardware able to perform such calculations. Hence HPC and AI are inter-related because HPC uses their dense computer clusters in synch with each other to execute the calculations at very high speeds and perform the most advanced AI.

When someone is talking about AI, there is a high probability that HPC is involved in artificial intelligence operations. Moreover, while HPC is able to execute a wide range of high-intensity programs, the AI represents an important aspect of the future of HPC and some of the key programs executed on HPC (e.g. breast cancer screening) will be AI.

Do IT Systems recognises that gaining benefits from the latest progresses of AI technologies does not only concern the hardware. We offer an end-to-end service that ranges from consulting services to the identification of AI opportunities, up to software development and integration, using the latest hardware among which GPU, storage and software to achieve the best performances.

Do IT Systems believes that this combination of skills and partnerships sets us apart from our competitors, allowing us to support you during your journey towards the adoption of these technologies in your organization, from design to full production