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How is AI Augmenting HVC workload?

By CIOReview | Thursday, June 11, 2020

Data has witnessed a drastic increase in volume and velocity in recent past years because of the digitization of global business processes.

Fremont, CA: HPC supports modeling and simulation to kick start business growth and digitization in various fields ranging from energy, life sciences to financial services, and geosciences, media and entertainment, manufacturing, and retail. On the other hand, artificial intelligence (AI) is regarded to be the foundation for cognitive computing. To attain success in AI, it is essential to leverage enough computing power to propel real-time data analytics. Therefore AI workloads like machine learning (ML) and Deep Learning (DL) are being built on the top of HPC infrastructure to deliver the performance and speed required. More companies are leveraging AI-powered HPC solutions to enable high-performance data analytics to train the ML and DL models and gain insights from the ingress of digital data. In the present scenario, HPC and AI programs are no longer considered as separate domains, when it comes to digitization. These complementary technologies are seamlessly converging so that organizations can get greater value from the data that is being captured and stored. Here are some of the prominent use cases where AI is boosting HPC workloads.

Autonomous Vehicles (AV)

Also popular as self-driving cars or driverless cars, autonomous vehicles (AV) are vehicles that can guide themselves with little or no human intervention. AV uses technologies such as radar, lidar, sonar, odometry, cameras, GPS, storage systems, and HPC networks to perceive their surroundings. HPC analyzes the continuous streams of data that are captured from their surroundings analyses to ensure safety and efficiency. HPC-powered AI solutions can also be used in AV as HPC is capable of handling petabytes of data generated by such vehicles. Similarly, AI programs will ensure smart decision-making and safety.


The complexity and volume of cyber threats have increased massively. Traditional cybersecurity solutions are not capable of tackling emerging threats like advanced persistent threats, botnets, and zero-day vulnerabilities. Therefore cybersecurity vendors are adopting various approaches like behavioral analytics, server logs, and VPN logs, which can be fed into AI algorithms to identify suspicious patterns.

Precision Medicine for Cancer Treatments

Known as a personalized medicine technique, the doctors use precision medicine as a tool to customize cancer treatment based on genetic understanding and the type of cancer affecting them. HPC has been widely embraced in cancer research as it not only helps increase compute capability but also integrates patient data from multiple databases, enhancing memory bandwidth, using heterogeneous hardware, and bettering S/W efficiency. With the help of HPC, researchers are simulating protein interactions to understand cancer development. 

See also: Top Artificial Intelligence Companies