TidalScale's Software-Defined Servers are the future of computing. They are nothing short of groundbreaking. Learn more:
Software-Defined Servers are having a disruptive effect on our notion of virtualization and containers, especially on container efficiency.
At TidalScale, we use Jenkins to run all testing. The combination of Jenkins, Docker and TidalScale has increased our testing throughput by more than an order of magnitude.
In his IEEE paper, Ike Nassi explores Application Programming with Unlimited Memory.
A benchmark comparison of a R statistical analysis workload on a 5-node TidalScale Software-Defined Server versus a bare metal system.
An allegorical description of why TidalScale's Software-Defined Servers work.
An exploration of the economic benefits of Software-Defined Servers.
Many experts will quote Amdahl’s Law as if it applies to every problem; relatively few are aware of Gustafson’s Law. It turns out that most people scale systems up not to make a particular problem run faster, but to handle larger and larger problems of the same sort. TidalScale delivers the first technology to fully implement Gustafson’s law in the way it delivers scaled speedup for computations on larger and larger datasets.
A one page summary of the capabilities and benefits of TidalScale Software-Defined Servers.