HPE Apollo 4200 Gen10 Plus 90TB 25Gb TAA-compliant Node for Qumulo

Apollo 4200 Gen10 Plus 90TB 25Gb TAA-compliant Node for Qumulo

Reasons To Buy

Run Anywhere

Store your data anywhere—at the edge, in the datacenter, and in the cloud—and get up to 1 TB/s of performance for your file-based workloads on your cluster. Get scalable performance regardless of the number of files, buckets, objects, or total capacity.
With the advanced erasure coding intelligence, store billions of files with a system that handles small files as efficiently as large ones. User files can occupy 100% of provisioned capacity without performance or management issues. ^[1]
HPE nodes for Qumulo clusters are built on all-NVMe 1U ultra-dense HPE Alletra Storage Server 4110 for performance-demanding workloads, and on hybrid-NVMe 2U ultra-dense HPE Apollo 4200 Gen10 Plus System data storage servers (to balance cost and performance) for active and archive workloads.
Data protection techniques include erasure coding for fast re-protect, replication, snapshots, and FIPS 140-2 encryption. Replication places data where it's needed—on-premises or in the cloud. Built-in security extends ‘silicon to software, factory to cloud, with HPE Integrated Lights Out 6.
Warrant a consistent user experience from core to edge and cloud, with native hybrid cloud protocols optimized for the enterprise. Copy, move, and even run on AWS, Microsoft Azure, and private cloud.

Access Any Way

Native SMB, NFS, S3 API, and FTP are optimized for enterprise-grade needs. Users can access the same data from any protocol. NTFS and POSIX permissions are automatically managed, effectively preserving access control list (ACL) inheritance.
Qumulo runs natively on AWS and Microsoft Azure. Leverage applications hosted in the cloud using Qumulo Shift to copy data to and from Amazon S3. Utilize storage for Kubernetes (K8s), using the Qumulo CSI driver to automatically provision persistent storage for K8s clusters.
Qumulo’s real-time analytics dashboard, combined with the operation management option for the HPE Alletra Storage Server 4110 provides an intuitive cloud management experience, featuring access control, usage monitoring (to prevent bottlenecks), system health status, and firmware management.
Both Qumulo’s REST API and HPE support for the iLO Restful API are included in the solution. This allows you to programmatically manage and automate tasks, and reduce risks as well as demands on limited IT resources. It also facilitates easy import of analytics data into monitoring applications.
Qumulo is offered as-a-service, via HPE GreenLake. The service provides a pay-as-you-go ^[2] platform for file data, that supports key business processes, and a wide range of workloads. Users gain fast access to their data and key applications—delivered in a cost-effective, consumption-based model.

Support Flawlessly

Qumulo engineers and system admins get direct access through Slack, phone, or email—with response times measured in minutes.
Leverage HPE Tech Care Service for a range of support offerings and SLAs: basic, essential, or critical. Direct access to HPE product-specific specialists is offered through multiple channels that include phone, chat, automated incident logging, and HPE moderated forums with defined response times.
Bi-weekly software releases with quarterly rollups assure that customers get features quickly and without disruption.
Safeguard data against unintentional deletion or overwrites with S3 object lock and versioning. In case of disaster, rely on multi-tier backups and archives with leading backup and recovery systems. Continuous async replication and cryptographically lockable snapshots enable quick and easy recovery.

Invest in Your Timeless Storage Success

We are dedicated to your success. With whole product support available through direct message and our many timeless storage investment protections, see why HPE Solutions with Qumulo customer satisfaction scores much higher than offerings from other vendors.
Get direct access to a single point of contact from Qumulo for whole product support through Slack, Microsoft Teams, phone, or email—with responses within minutes. This zero-latency customer success has consistently earned Net Promoter Scores (NPS) above 70.
Get additional help with HPE Tech Care Service offerings and service-level agreements. Direct access to HPE product-specific specialists is offered through multiple channels that include phone, chat, automated incident logging, and HPE moderated forums.
Effortlessly swap out old nodes with newer hardware transparently to your end users. Cutting-edge Transparent Platform Refresh lets you protect your investments and keep clusters up to date across multiple generations without the headache of time-consuming and expensive migration.
Achieve your goals whether you purchase outright or consume as-a-service with HPE GreenLake Flex Solutions. Get fast access to data and key applications with a cost-effective, pay-as-you-go platform. Avoid overprovisioning and optimize energy use with a detailed carbon impact reports.

Description

Together, Hewlett Packard Enterprise and Qumulo simplify your file data anywhere and with the choice to consume as-a-service through HPE GreenLake cloud. Reliably store and manage billions of files that can be securely accessed through rich file protocols and an S3 Application Programming Interface (API). Gain instant control of your data at lower cost and higher performance, at the edge, in the datacenter, and in the cloud. With purpose-built all-NVMe flash and hybrid-NVMe flash systems forged from industry-leading HPE Alletra Storage Server 4110 and HPE Apollo 4200 Gen10 Plus System, you can achieve the ideal mix of price, performance, and capacity to address your unstructured data needs now and in the future. HPE Solutions with Qumulo empower you to store, manage, and curate file data, at scale, to match you business needs.

What is new supporting point:
Integration of Qumulo software with the Varonis Security Data Platform and snapshot locking, enhances data security and protects data from being accidentally or maliciously deleted.
New advanced support processes, with cross-company electronic case exchange, improves customer response time, shortens repair time, and reduces delays in resolution.
Qumulo Cloud Data Fabric (CDF) simplifies data governance and security by creating a single, globally-consistent file system that can span edge, core, and cloud.
The HPE Alletra Storage Server 4110 is a dense, 1U, all-NVMe system for file workloads, offering advanced features, security, a cloud experience, performance, and capacity—at an affordable price.
Adaptive data protection optimizes data protection configurations as clusters grow, reclaiming storage with no user impact, resulting in better failure tolerance, storage utilization, and TCO.
Transparent platform refresh allows customers to replace older nodes with newer hardware without disruption to end users’ workloads, and without requiring time-consuming and expensive migrations.

Specifications

Storage
SSD interface	PCI Express 4.0
Maximum storage capacity	90 TB
Network
Supported protocols	NFS, SMB, S3 API, FTP
Design
Chassis type	Rack (2U)
Performance
Compatible operating systems	Windows, UNIX, Linux
Performance management	GUI for intuitive self-management, REST API for programmatic management, built-in real-time analytics for visibility and control, directory-based capacity quotas, HPE Integrated Lights Out 5 and Active Health System.
Software
Compatible operating systems	Windows, UNIX, Linux
Management features
Performance management	GUI for intuitive self-management, REST API for programmatic management, built-in real-time analytics for visibility and control, directory-based capacity quotas, HPE Integrated Lights Out 5 and Active Health System.
Technical details
Replication features	Continuous asynchronous replication across clusters
Chassis type	Rack (2U)
Expansion description	Scale-out by adding nodes
Weight & dimensions
Weight	30.4 kg
Other features
Replication features	Continuous asynchronous replication across clusters
Expansion description	Scale-out by adding nodes