By Benjamin Nigl, Senior Account Manager
HPC systems are characterized by their high-speed processing power, high-performance networks, and large-memory capacity, generating the capability to perform massive amounts of parallel processing. When a standard desktop with a 3 GHz processor can perform around 3 billion calculations per second, an average HPC system can perform quadrillions of calculations per second. This means HPC systems perform extreme amounts of calculations in seconds, whereas a regular processor would take weeks or even months to complete the same task, thanks to their technology.
While not every system requires an extreme processing speed, HPC is essential for advanced, time-consuming use cases that rely on:
HPC is an essential capability to enterprises across a broad spectrum of industries, including manufacturing, automotive, aerospace, energy, life sciences, finance, and more. HPC gives enterprises the ability to discover scientific and business insights, develop new products, and open new avenues for progress by enabling multi-physics simulations, digital twin models, big data analytics, machine learning, and other complex engineering and scientific workloads, but even the largest enterprises can struggle to deploy, manage, and scale the robust HPC resources they need for success in the modern world.
Click the buttons below to share this blog post!
Companies today are being asked to do more with data than ever before. Bigger AI models, faster insights, and workloads that don’t stay in one place, it’s a lot to keep up with. Traditional infrastructure just isn’t built for this kind of speed and flexibility.
The answer isn’t about throwing more hardware at the problem. It’s about building smarter, more agile infrastructure that adapts as demands change. And that’s where scale-out and increasingly, a blend of scale-out and scale-up come into play.
The rugged edge computing landscape is becoming increasingly complex with new generations of technologies, such as the latest AI focused GPUs, releasing annually rather than every 2-3 years. Whether the end application is commercial or defense, rugged edge servers must not only deliver cutting-edge compute performance but also withstand extreme environmental conditions.