Featured Story
Intel and telcos left in virtual RAN limbo by rise of AI RAN
A multitude of general-purpose and specialist silicon options now confronts the world's 5G community, while Intel's future in telecom remains uncertain.
TidalScale's virtualization technology lets organizations take advantage of in-memory computing for very large data sets.
October 9, 2018
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.
You May Also Like