Enterprises are said to be awash in data, and one of the problems posed by all this data is not just storing it, but processing it. Storage architectures have by and large been keeping up with the capacity problem, while the introduction of flash has also given storage a much-needed speed-up over the past decade, significantly boosting the performance of transactional workloads such as databases as well as file, block, and object storage.

Compute-in-storage pioneer NGD has raised $20m in a C-series round to develop production of its technology and invest in sales and marketing.

IDC predicts that worldwide data will grow 61% to 175 zettabytes by 2025, which will invariably put a strain on infrastructure as organizations look to sort, search, scan, and otherwise derive value from this data. That’s where NGD Systems comes in — it’s an Irvine, California-based company offering a computational storage drive tailor-made for on-device AI and machine workloads. To lay a runway for growth, NGD this week closed a $20 million series C financing round led by Western Digital Capital, with participation from existing investors including Orange Digital Ventures, Partech Ventures, BGV, and Plug-N-Play.

Experts predict edge computing, 5G and containers will fuel computational storage, new storage systems dedicated to container-based applications, and flash-based object stores.

The World Economic Forum predicts that the amount of data we produce will reach 44 zettabytes by 2020. Learn more about it here.

Toshiba introduced during the 2019 Flash Memory Summit the XFMEXPRESS, targeted at mobile apps, automobiles, and gaming consoles.

As the amount of data intensively swells and impacts compute applications, a change in handling the growing strain produced will be necessary for 2020. Read what they are in this post.

Nader Salessi, the CEO and NGD Systems’ founder, has predictions about how enterprises relying on the hyper-scale, edge, and CDN environments will store and process data in 2020. Read more here.

Computational storage (CS) offers a faster, more affordable and power-efficient way to store and analyze petabytes of data. Get started here.