The Power to Push Limits

Many organizations are fighting an uphill battle to handle the scale and velocity of data they are harvesting.

Whether training machine learning (ML) models or crunching large volumes of data, analysts and data scientists on the front line often experience frustration as their effectiveness is hindered by the limitations of compute power.

Unfortunately, these challenges are becoming more acute. On one hand, the pressure to extract real-time value from connected devices and big data is mounting. On the other, the sheer volume of data being created is burgeoning. According to IDC, worldwide data creation will increase to 175 zettabytes by 2025—a tenfold increase on that produced during 2017.

 Digital
HP

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