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Today’s analysis and emulation of genetic sequences demands a low-latency, high-bandwidth solution to transfer massive amounts of data between processors.
Historically, data scientists to manually extracted a genetic sequence from a biological sample, ran it through the system, waited for it to process, and returned to perform the process again.
With a low-latency, high-bandwidth design today, medtech companies can train more models with machine learning algorithms in a shorter amount of time, ultimately drastically reducing development timelines.
Using an FPGA-based platform like Fidus Sidewinder minimizes the latency associated with large-scale storage devices and results in a custom system that can transmit, receive, and store tens of gigabytes per second of genetic sequencing data when combined with a Xilinx multiprocessor systems-on-a-chip (MPSoC).
Learn about how Fidus achieved high-bandwidth, low-latency data movement in a proof of concept for a medical technology company’s genetic sequencing application – click here.
Fidus is partnering with Carleton University to support hands-on FPGA education through industry-aligned hardware, practical learning environments, and direct exposure to modern design workflows. This collaboration reflects a shared commitment to strengthening Canada’s engineering talent pipeline and bridging the gap between academic learning and real-world embedded-system development.
Engineering leaders are under increasing pressure to deliver more complex systems with fewer internal resources. FPGA logic grows more demanding, embedded software expands faster than teams can staff, and board level designs now require deeper integration across hardware and firmware. This playbook gives leaders a clear framework for understanding when external engineering support becomes essential, how to choose an engagement model that protects quality and schedule, and what separates productive collaborations from the ones that create risk. Drawing on lessons from hundreds of advanced development programs, it outlines how to scale engineering capacity without slowing execution or sacrificing control.
Hardware doesn’t move at software speed — and that’s okay. Here’s what decision-makers need to know about realistic timelines when partnering with an embedded systems design services company like Fidus.
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