Hyve Solutions Series 8 to Bring High Performance, Scale-out Big Data Appliances to Large-Scale Datacenters
FREMONT, Calif.--(BUSINESS WIRE)-- Hyve Solutions, a division of SYNNEX Corporation (NYSE: SNX), a leading distributor of IT products and services, today announced the launch of the Hyve Solutions Series 8 high performance Hadoop computing platform for Enterprise Big Data. Working with technology partners Arista Networks, Fusion-io, Solarflare Communications and Zettaset, the Hyve Solutions Series 8 offers enterprise customers a fully-integrated solution that can be sized to current workloads and easily scaled to meet future demands.
The platform has been certified by all participating vendors, making it easy to deploy and accelerate enterprise customers’ time to realize the return on their investment. By offering customers a comprehensive solution, the Hyve Solutions Series 8 platform delivers a robust Big Data appliance to acquire, organize and maximize the value of their data.
The Hyve Solutions Series 8 appliance features an elegant user interface by Zettaset that streamlines use and manageability and has safeguards that provide service management, failover and restart as well as alerting and monitoring features required by enterprise customers.
Benchmarking test results achieved in October 2011 show that a 5-node cluster completed a 1TB Terasort workload in 30 minutes, 16 seconds. The same 5-node cluster scaled linearly, completing a 4TB Terasort workload in 1 hour, 59 minutes and 11 seconds.
“When we considered the enormity of data currently being generated, in combination with our customers’ projections on the amount of data needing to be processed, the only way to meet demand was to analyze more data, more quickly, and in a smaller footprint," says Brian Christian, CEO of Zettaset, Inc. “We’ve simplified Big Data and put it in a box.”
"By enabling the channel to leverage Hyve Solutions’ expertise through Series 8, customers now have the flexibility to grow their infrastructure according to their needs," said Steve Ichinaga, Senior Vice President and General Manager, Hyve Solutions. "Meeting performance targets and business processing requirements in smaller footprints is a crucial step toward containing costs associated with power, cooling and datacenter sprawl. Our performance results and top-tier roster of partners contributing to this platform instill customer confidence in their investments."
Flash-based ioMemory from Fusion-io drives the massive I/O required for the solution. Each node includes three 1.28TB Fusion ioDrive Duos. "We are pleased to collaborate with such a visionary group of technology leaders to deliver this unique solution," said Tyler Smith, Vice President of Global Alliances, Fusion-io, Inc. "This solution is an ideal way to demonstrate the performance and scalability that Fusion-io’s low latency ioMemory technology can deliver in a Big Data scale-out environment."
The networking infrastructure in the solution is an Arista Networks 7124sx 24 port 10Gb switch that delivers the low latency, non-blocking 10Gb networking I/O required for Big Data. “Arista is excited to participate in delivering an industry leading Big Data solution,” said Ed Chapman, Vice President, Business Development and Alliances, Arista Networks, Inc. “Big Data is an ideal application and demonstrates Arista’s high speed 10Gb performance and low latency.”
“Latency matters. Analytics applications require low latency and high network throughput in order to minimize processing time and maximize the value of the data. The Solarflare Communications 10GbE SFP+ server adapter contributes the ultra low latency and high throughput for the switch to server network I/O required by Big Data customers,” said Bruce Tolley, Vice President, Solutions Marketing at Solarflare Communications, Inc.
Hyve Solutions Series 8 appliance platform initially has three shipping configurations:
- 2-node starter kit (7.2TB)
- Full rack (72TB)
- Individual 2U expansion nodes (3.6TB)
Networking, compute, storage, software and support are included pre-configured with each SKU. Pricing and product availability will be in place by early December 2011 with first shipments of the built-to-order systems beginning in January 2012.
About Hyve Solutions
Hyve Solutions, a division of SYNNEX Corporation (NYSE: SNX), is a leader in providing customers with better, purpose-built datacenter servers that are cost effective and built to be specific to actual workloads and datacenter environments. The Company offers highly energy-efficient solutions via its unique role in the Open Compute Project. For more information about Hyve Solutions, visit http://www.hyvesolutions.com, email sales@hyvesolutions.com or call (855) 869-6873.
About SYNNEX Corporation
SYNNEX Corporation (NYSE: SNX), a Fortune 500 corporation, is a leading business process services company, servicing resellers, retailers and original equipment manufacturers in multiple regions around the world. The Company provides services in IT distribution, supply chain management, contract assembly and business process outsourcing. Founded in 1980, SYNNEX employs over 10,000 full-time and part-time associates worldwide. Additional information about SYNNEX may be found online at www.synnex.com.
Safe Harbor Statement
Statements in this release that are forward-looking, such as Hyve Solutions Series 8 capabilities and features, pricing and product availability, and component capabilities and features, involve known and unknown risks and uncertainties, which may cause the Company's actual results in future periods to be materially different from any future performance that may be suggested in this release. The Company assumes no obligation to update any forward-looking statements contained in this release.
Copyright 2011 SYNNEX Corporation. All rights reserved. SYNNEX, the SYNNEX Logo, Hyve Solutions, and all other SYNNEX company, product and services names and slogans are trademarks or registered trademarks of SYNNEX Corporation. SYNNEX and the SYNNEX Logo Reg. U.S. Pat. & Tm. Off. Other names and marks are the property of their respective owners.
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