IoT and Embedded
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This project was in collaboration with Australia’s leading science and
technology research institute, specifically the department that work with radio astronomy, deep
tracking and communication activities. The company handles data workloads that relate to space
coordination, advanced aerospace business development and national/international facilities
With such a unique and exclusive in-house workload, the company looked at building a solution from
ground-up with us and other vendors in conversation. Hence, this allowed us to integrate many
and high-quality systems with the company and help gain the trust of our client.
The company was looking to acquire a solution that they had
preconfigured from the ground-up, to tackle astronomy workloads such as satellite networks and space
imaging within their location. This type of workload required significant computing and processing
as the main driving factors from the organisation’s professors and scientists. In addition to this
purely high-performance solution, they required flexibility and scalability within systems to fit
different local in-house workloads and projects.
We worked closely with the company to optimise their solution that they could fully integrate into
unique space-related onsite operations. The solution that we worked together on provided an
to their initial technology proposal for internal number crunching. We satisfied many driving
through our ability to locally drive highly scalable and flexible solutions within Australia.
We collaboratively provided a better and more cost-performant solution that took care of their
objectives and budget without any sacrifice.
Based upon their certain astronomy workloads, we satisfied the organisation’s expectations of being
locally available and providing scalable and flexible solutions.
With the initial proposal of GPU’s in their solution, we recommended utilising FPGA’s instead. The
benefits of the FPGA instead of a GPU was the immediate high-latency processing of data from a
hardware interface and with real-time reactions based on received data. The processing functionality
FPGA’s can be customized on a logic port level, whereas GPU’s can only be programmed at a static
instruction level, therefore making FPGA the optimal solution due to responsiveness and capability
more dedicated special purpose innovation such as astronomy and space workloads. As a result, our
solution has been highly satisfactory as a highly cost-performant system.
Through our high level of quality products, services and support, we were able to create a healthy
relationship with the company.