Data is the catalyst, Sycomp Storage fueled by IBM Spectrum Scale is the accelerant. Sycomp provides High-Performance Storage and Compute to support global multi-national Enterprise clients across a wide variety of industries. We assess and evaluate your Compute, Network, and Storage capacity needs to optimize the price and performance of your Cloud experience.
Our powerful solution enables you to simultaneously access data from hundreds of virtual machines, delivering unrivaled speed and efficiency to your business operations.
Automatically manage tiers of storage to ensure maximum performance and reduce costs to deliver the speed and reliability you need to succeed.
Deploy Sycomp Storage Fueled by IBM Spectrum Scale in minutes via Google Marketplace, and enjoy seamless access to your data via NFS, SMB, and the native IBM Spectrum Scale client.
Up to 320 GB/S (NFS) That can be optimized to VM and disk SKU combination. Tune to the desired VM and disk SKUs. Optimize price and performance
Sycomp Storage Fueled by IBM Spectrum Scale on Google Cloud exceeds expectations for data consistency, faster data access, data placement, and data in-motion encryption than other solutions on the cloud.
Sycomp Storage Fueled by IBM Spectrum Scale is the answer to your data challenges. Our solution enables organizations to utilize different storage tiers whether they are incorporating on-prem IBM Spectrum Scale with our offering in Google Cloud or deploying a cloud-only solution. Sycomp’s offering supports NFS, SMB, and the native client.
Sycomp’s offerings of IBM Spectrum Scale creates an unmatched storage solution for running HPC and AI/ML workloads. Sycomp’s solution provides a venue for new and existing clients looking to use Google Cloud as a burst platform for these modern workloads.
Use Sycomp Storage fueled by IBM Spectrum Scale as your optimal Google Cloud platform for High-performance storage with Cloud economics, to deploy in minutes to hours, not days, gain agile scalability to meet “burst” workloads, and model and deploy new workloads using the best price/performance environment.