Red Hat Gluster Storage
Red Hat Gluster Storage stores data without the need for a metadata server, eliminating any single point of failure. Scale as you grow. Deploy a multi-tenant storage system in a few minutes, without being tied to rigid innovation cycles or specific hardware configurations. Run Red Hat Gluster Storage where it makes the most sense: bare metal, virtualized, containerized, or in the cloud. The transition to digital workflows and content has increased demand for digital storage. Red Hat Gluster Storage is ideal for the media industry. Build cost-effective, agile, and optimal virtual server and storage infrastructures across heterogeneous hardware platforms. Storage needs for media and entertainment are outpacing capacity and budgets. The transition to digital workflows and content has increased demand for digital storage. With lower costs than proprietary storage vendors and the ability to scale on demand, Red Hat Gluster Storage is ideal for the media industry.
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IBM Elastic Storage System
IBM Elastic Storage System (ESS) is a modern implementation of software-defined storage, making it easier for you to deploy fast, highly scalable storage for AI and big data. With the low latency and high performance NVMe storage technology and 8YB global file system and global data services of IBM Spectrum Scale, the ESS 3200 and ESS 5000 nodes can grow to YB configurations in a single federated global storage system from edge to core data center to the public cloud. By consolidating storage requirements and eliminating silos across multiple platforms — including Kubernetes and Red Hat OpenShift — IBM ESS can reduce inefficiency, lower acquisition costs, simplify storage management and support multiple demanding workloads, delivering high performance throughout your organization.
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IBM Storage Scale
IBM Storage Scale is software-defined file and object storage that enables organizations to build a global data platform for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other demanding workloads. Unlike traditional applications that work with structured data, today’s performance-intensive AI and analytics workloads operate on unstructured data, such as documents, audio, images, videos, and other objects. IBM Storage Scale software provides global data abstraction services that seamlessly connect multiple data sources across multiple locations, including non-IBM storage environments. It’s based on a massively parallel file system and can be deployed on multiple hardware platforms including x86, IBM Power, IBM zSystem mainframes, ARM-based POSIX client, virtual machines, and Kubernetes.
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Sangfor aStor
Sangfor aStor is a software‑defined storage solution that unifies block, file, and object storage into a single, elastically expandable resource pool using a fully symmetrical distributed architecture, enabling on‑demand allocation of high‑performance and cost‑optimized, large‑capacity tiers to suit diverse service requirements. Available as either integrated hardware‑software or standalone software, it scales from just three commodity x86 nodes and supports cloud‑scale clusters of thousands of nodes with EB‑level capacity expansion. Its multi‑node parallel processing and intelligent caching (using RDMA, SSD hot‑data cache, and layering) deliver extremely high throughput, IOPS, and small‑IO performance, boosting cache hit rates to 90% and small‑IO handling by up to 65%, while distributed metadata management ensures jitter‑free handling of billions of files.
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