TidalScale Banks $24M Funding for 'Software-Defined Servers'

TidalScale's virtualization technology lets organizations take advantage of in-memory computing for very large data sets.

October 9, 2018

1 Min Read

CAMPBELL, Calif. -- TidalScale, the company at the heart of the Software-Defined Server revolution, today announced it has raised a $24 million Series B funding round. The new funding comes from a strong investment syndicate that includes Bain Capital Ventures, Hummer Winblad, Sapphire Ventures, Infosys, SK Hynix, and a leading server OEM, as well as other undisclosed investors.

Gary Smerdon, President & CEO at TidalScale:
"TidalScale helps organizations sharpen their competitive advantage by making in-memory computing accessible with data sets that exceed the capabilities of even the largest traditional servers -- with linear cost. Our breakthrough Software-Defined Server technology amplifies the value of modern data centers by enabling organizations to build a virtual server of any size-the right size-in just minutes. For our customers, TidalScale Software-Defined Servers have proven to be game-changing. We're honored that so many respected investors and partners recognize the value and promise of TidalScale."

Delivering on the promise of the Software-Defined Data Center
Organizations increasingly face workloads that overwhelm even their largest servers. To address this, customers are installing excess capacity based on the projected future requirements -- thus possibly overpaying for years to come. The fast, flexible, easy and cost-effective solution to this problem is TidalScale's Software-Defined Server technology. With TidalScale, customers can create a Software-Defined Server from standard commodity physical servers in minutes. And once it's up and running, TidalScale's real-time machine learning layer continuously optimizes system performance. The result is flexible, self-optimizing software-defined compute infrastructure right-sized for today and easily reconfigured as an organization's needs evolve. Organizations that rely on in-memory databases like Oracle Database, SAP HANA, simulations, and analytics workloads like Open Source R are discovering that TidalScale Software-Defined Servers redefine the landscape of cost-effective solution options.


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