We are pleased to showcase this case study with our partner Liqid, provider of composable HPC and AI infrastructure. For those interested in deploying flexible, adaptive GPU platforms and supercomputers, Colovore and Liqid have teamed up to provide an optimized IT environment and solution.
Colocating Liqid’s composable infrastructure platform, which allows users to dynamically configure servers with specific resources based on the application requirements, in Colovore’s high-density cabinets provides the ability to scale up and scale down resources in real time, improving IT agility and efficiency. With 35 kW of power in each cabinet and a pay-per-kW consumed pricing model at Colovore, Liqid users are assured of incredible workload, application, and platform scalability in a single cabinet while paying on a consumptive basis.
The net result is unparalleled HPC and AI application performance at much lower operating costs.
Please take a look at the study to see how Liqid’s 100 GPU, 5TB DRAM, 300 TB SSD Supercomputer performed!
If you’d like more information about Colovore or Liqid, please email firstname.lastname@example.org and we’d love to tell you more about our solution.
Colovore was founded in 2012 by an experienced group of colocation, data center, and IT infrastructure executives. With power densities of up to 50 kW per rack and a flexible pay-as-you-grow pricing model, we offer colocation the way you want it—cost-efficient, scalable, and robust. Colovore is backed by industry leaders including Digital Realty Trust. For more information, please visit www.colovore.com.
Liqid provides the world’s most-comprehensive software-defined composable infrastructure platform. The Liqid platform empowers users to manage, scale, and configure physical, bare-metal server systems in seconds and then reallocate core data center devices on-demand as workflows and business needs evolve. Liqid Command Center software enables users to dynamically right size their IT resources on the fly. For more information, visit www.liqid.com.