High Performance Computing and AI Gets A Boost with Sycomp Storage
Sycomp Storage can significantly reshape how your organization approaches HPC, AI and ML workloads on Azure. With rapid deployment times from minutes to hours and striking performance capabilities over 300GB/s, Sycomp Storage stands out in both cloud and on-prem platforms with benefits that multi-tiered optimizations for different storage needs, support for thousands of VMs, disaster recovery and multi-cloud mobility. Download the solution brief for details on these benefits and others such as a cost-free 30-day proof of concept. Contact us to discuss how Interwoven Technologies can help you unlock the full potential of your workloads with Sycomp's robust storage offerings.
Sycomp Storage is a software-defined storage solution that allows IT and Cloud teams to optimize data performance and costs by using various storage tiers and drive types across cloud and on-premise platforms. It enables organizations to quickly utilize their cloud environments for modern workloads like High-Performance Computing (HPC), Artificial Intelligence (AI), and Machine Learning (ML), often within minutes to a few hours.
How does Sycomp Storage improve performance?
Sycomp Storage optimizes file storage for HPC, AI, and ML workloads by providing a high-performance environment that can deliver over 300 gigabytes per second. It supports auto-tiering to manage costs effectively and allows concurrent data access from thousands of virtual machines, ensuring that performance is maintained across various industries and data types.
What is the deployment process for Sycomp Storage?
The deployment process begins with Sycomp experts assessing the customer's network, capacity, and performance needs to define the cluster environment. After this, Sycomp offers deployment guidance or can handle the deployment directly. A 30-day proof of concept (POC) is then initiated, allowing customers to use the software licenses at no cost. Upon successful completion of the POC, Sycomp collaborates with the customer to implement the solution and establish the appropriate support model.
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