Diginex and Symbioses deploy decentralized supercomputing network for mining
Diginex, a Hong Kong-based blockchain technology company announced today a Memorandum of Understanding (MOU) with Symbioses, a Swiss-based decentralized cloud computing company, in which Diginex’s infrastructure will be used to perform optimized cryptocurrency mining and verify the technical basis for the deployment of high-performance computing (HPC) applications.
Diginex will provide up to 2,500 nodes (20,000 GPUs) at its data center in Europe to perform cryptocurrency mining on the Symbioses network taking full advantage of modern GPUs using unique optimization. Auto screening of market conditions allows for the mining of the most profitable cryptocurrency using available information and data at that given moment with minimal switching time.
Symbioses’ ability to deploy more complex HPC jobs provides the potential to improve current mining profit exponentially. Diginex and Symbioses will work together to test and verify the technical basis for the deployment of scientific simulations, tensor-flow deployment, and rendering.
“We believe in fostering the development of platforms that address the incoming wave of supercomputing demand. We are excited to partner with the Symbioses team, who have spent the last four years developing an automated and client-centric application aimed at lowering the entry point barriers of this technology.”
“We are delighted to announce this partnership with Diginex, a company that has both the technical know-how but also values the highest levels of client service. This comes at an opportune time, as the demand for reliable and user-friendly solutions is set to increase exponentially, and Symbioses is ready to deliver.”
The HPC market is expected to reach $44 billion by 2022, with the provision of HPC in the cloud expected to be one of the fastest growing segments with an estimated 19.9% compound annual growth rate. Working with Symbioses will enable Diginex to optimize between cryptocurrency mining and HPC in an automated fashion to capture growing market demand.
