Pure Storage, a pioneer in block-based flash arrays, has developed a technology called FlashBlade, designed specifically for file and object storage environments. With FlashBlade, IT teams now have a simple-to-manage shared storage solution that delivers the performance and capacity needed to bring Spark deployments on premise.
To help gain a deeper understanding of the storage challenges related to Spark and how FlashBlade addresses them, Brian Gold of Pure Storage sat down with veteran technology journalist Al Perlman of TechTarget for a far-reaching discussion on Spark trends and opportunities.
Lenovo® Flex System™ — powered by Intel® Xeon® processors — is the newest blade infrastructure design with the attributes that support soft ware-defi ned infrastructure and virtualization better than any competitor.
It delivers key benefits better than any competitor:
• Reduces capital and operational costs with consistent hardware/software deployment and the ability to simply scale workloads with the highest VM capacity and performance.
• Increases agility with simplified rapid deployment and ongoing management to add, change, or move workloads with their associated resources.
• Improves efficiency and increases space, power, and cooling with the leading compute, storage, and network density.
Sponsored by Lenovo® and Intel®"
The verification workload comprises hundreds of millions of small files, very high metadata, and extremely high performance read, write, and delete requirements.
The Pure Storage FlashBlade product’s innovative design provides high IOPS and throughput, and low latency and fast deletes – yielding an average 25% faster wall clock completion time.
FlashBlade fabric modules implement a unified network that connects all blades to each other and to the data center network. With full connectivity, all blades can serve as client connection endpoints, as authorities that process client requests, and as storage managers that transfer data to and from flash and NVRAM.
Pure Storage has significant expertise creating scalable, enterprise-class, flash-optimized storage platforms, and with FlashBlade, Pure Storage has crafted a turnkey, purpose-built platform that is well suited to cost effectively handle the performance and capacity requirements of genomics workflows. Pure Storage has differentiated itself from more established enterprise storage providers by delivering an industry-leading customer experience, as shown by its extremely high NPS, indicating it knows how to meet and is committed to meeting customer requirements. Whether genomics practitioners plan an on-premises deployment or a cloud-based deployment for their genomics workflows, they should consider the performance, cost, and patient care advantages of the Pure Storage FlashBlade when choosing a platform, particularly if they plan to retain data for a long time and use it frequently.
The tremendous growth of unstructured data is creating huge opportunities for organizations. But it is also creating significant challenges for the storage infrastructure. Many application environments that have the potential to maximize unstructured data have been restricted by the limitations of legacy storage systems. For the past several years—at least—users have expressed a need for storage solutions that can deliver extreme performance along with simple manageability, density, high availability and cost efficiency.
Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based
on creating and executing computer models to make investment decisions. The firm has adopted the
Pure FlashBlade™ solution from Pure Storage to deliver the massive storage throughput and scalability
required to meet its most demanding simulation applications.
This document describes the technical reasons for and benefits of an end-to-end training system and why the Pure Storage® FlashBlade™ product is an essential platform. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and Pure FlashBlade, a scale out, high performance, dynamic data hub for the entire AI data pipeline.
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
This paper examines enterprise adoption of blade servers in the US, UK and China; the benefits of blade server use; and the connection between enterprise data center management and agility goals and blade server use.
The market for blade servers is becoming ever more complex and diverse due to the convergence of related modular form factors, a fast-growing interest in fabric-based infrastructure and the influence of cloud computing on buying behavior.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
This white paper is focused on the design and architecture of an OCS 2007 environment in an HP BladeSystem infrastructure. The document outlines a building block approach to deploying OCS on the HP BladeSystem and focuses on how the design decisions around levels of availability, scalability, and the OCS 2007 feature set impact the hardware that is deployed and the version of OCS that is used. The white paper also covers a brief overview of the Microsoft Unified Communications framework including Microsoft Exchange Server 2007 and Office Communications Server 2007 and an overview of the HP BladeSystem architecture and how the HP BladeSystem can help lower the total cost of ownership (TCO).
The focus of this report is performance testing of the core services of an OCS Enterprise Edition Consolidated Configuration and as deployed on an HP BladeSystem and HP StorageWorks solution. One requirement for any solution deploying more than one server in a pool is a hardware load balancer. In this solution a F5 BIG-IP Local Traffic Manager is used.
In this White Paper IDC sees the use of static x86 server configurations is quickly becoming an outdated concept with the introduction of modern solutions based on blade architectures, which can offer both intelligent configuration and management and the ability to perform physical-to-virtual migration to promote uptime and efficient resource usage. When combined with the quickly maturing x86 hypervisor technologies available from a variety of solution providers, the synergy of blade architectures and virtualization offers customers the ability to dramatically increase utilization of their server investments, boost uptime, provide a more resilient and available infrastructure, and roll out new infrastructure and services more quickly.
Published By: Dell-Intel
Published Date: Jul 16, 2009
The Business Ready Configurations for Dell PowerEdge blade servers, Dell EqualLogic SAN, and VMware Infrastructure provides a detailed reference architecture for deploying and using VMware virtualization on Dell blades and iSCSI storage environments. The Dell PowerEdge M1000e supports the recently announced 11th generation Dell PowerEdge M610 and M710 blade servers based on the new Intel Xeon processors.
Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
Today's server blades simply aren't optimized for virtualization. So we built one for you that is. The ProLiant BL495c virtualization blade helps you remove bottlenecks to virtual server performance by packing two-times more memory slots and more network connections per server than other two processor server blades. Listen to the HP ProLiant BL495C Virtualization Blade podcast:
In the real world, IT must combine hardware, software, and technologies from multiple vendors to solve business problems. 3cV is the combination of HP 3PAR Utility Storage with HP BladeSystem. Find out more in this white paper.
Veritas' NetBackup software has long been a favorite for data protection in the enterprise, and is now fully integrated with the market-leading all-flash data storage platform: Pure Storage. NetBackup leverages the FlashArray API for fast and simple snapshot management, and protection copies can be stored on FlashBlade for rapid restores and consolidation of file and object storage tiers. This webinar features architecture overviews as well as 2 live demo's on the aforementioned integration points.
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