Hammerspace and ScaleFlux
Today’s unstructured data workloads, including AI training and inference, require a data platform that delivers high-throughput, low-latency performance at large scale.
Today’s unstructured data workloads, including AI training and inference, require a data platform that delivers high-throughput, low-latency performance at large scale.
Hammerspace and MetadataHub provide a solution for storing, managing, and extracting insights from massive unstructured data sets.
Starfish and Hammerspace deliver a powerful joint solution that enhances operational efficiency, automates data lifecycle management, and accelerates data-driven outcomes.
Solution Benefits Unify, Orchestrate and Accelerate Your Data in the Cloud Hammerspace helps Google Cloud Platform (GCP) customers unlock the full value of their data by breaking down silos across…
Traditional RAID is a bottleneck, and software-based RAID continues valuable CPU cycles on the storage servers. Both approaches throttle performance, which affects how quickly the storage can feed data to…
Over the last year, Gartner end users report 30% to 60% growth for their file data, and by 2026 large enterprises will triple their unstructured data capacity across their on-premises,…
Hammerspace has partnered with Cachengo to be the hybrid-cloud and multi-cloud data orchestration provider for the file and object data captured at the edge.
Data driven organizations have a need to use elastic cloud resources – for burst computing, for running HPC and AI projects in the cloud, to enable collaboration across regions, for…
Data driven organizations have a need to use elastic cloud resources – for burst computing, for running HPC and Accelerated Compute projects in the cloud, to enable collaboration across regions,…