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The Three HPC Trends to Watch Out for!
FREMONT, CA: Companies have always strived for high-performance computing (HPC), making it one of the most sought after advancements. The major challenge was the requirement of specialized computing resources that were crucial for the researchers and scientists for the extraction of insights from massive data sets. The large budget needed for setting up the infrastructures limited High performance computing to the top-tier research universities, energy industry, and banks. With the introduction of parallel computing entering the arena, HPC has become more accessible in the past few years. Further technological advancements are also shaping HPC.
Here are the major trends:
Majority of HPC work is done in-house, in dedicated or private clouds. However, HPC is expanding through public clouds too. HPC friendly options from public cloud provider giants such as Microsoft Azure and Amazon Web Services are influencing conventional HPC consumers, who can use a public cloud to extend what they do on-premise. Other HPC users are also using public cloud HPC solutions to tackle artificial intelligence (AI) and machine learning (ML) challenges.
Check out: Top HPC companies
Data Collection and Insights
Earlier, it required years for a researcher to collect a data set that was exhaustive in a way to merit HPC. However, with the help of the internet, WiFi, and mobile devices, it is easier to access and collect massive data sets. Everyday social interactions are generating more data than at any point in the past.
With unprecedented data just a click away, there is an opportunity to spend more time on data refinement and the extraction of relevant insights from it. HPC holds the key to the achievement of the above.
The ecosystem surrounding Artificial Intelligence is mature enough to leverage massive data sets. Machine learning models are getting trained by feeding the bulk data, while their computing capacity is increased to prepare more complex and more extensive models. AI chatbots are increasingly being used to answer customer queries while recommendation engines are assisting the customers with decisions such as “where to invest” or “what to buy”. Next level shopping experiences on Amazon has been made possible via highly sophisticated AI concepts into the mainstream.