Welcome!

@DXWorldExpo Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White, Zakia Bouachraoui

News Feed Item

Inphi Ships 1 Million DDR3 LRDIMM Memory Buffers

Inphi's Memory Buffer Enables Increased Memory Performance and Capacity for Server Virtualization, Big Data Analytics, HPC and Enterprise Storage Applications

SHENZEN, CHINA -- (Marketwired) -- 04/02/14 -- Inphi Corporation (NYSE: IPHI), a leading provider of high-speed mixed signal semiconductor solutions for the communications and computing markets, today announced it has shipped more than one million units of its Isolation Memory Buffer (iMB)™ for Load Reduced Dual-inline Memory Modules (LRDIMMs). LRDIMMs based on Inphi's iMB offer a significant performance improvement across high-density rack and blade server memory capacities -- a critical requirement as IT leaders look to boost data center performance and reliability, while maintaining compatibility with a host of critical applications.

Inphi's iMB technology, the industry's first fully compliant with the memory buffer specification of the JEDEC Solid State Technology Association, helps reduce DRAM device and channel loading on the memory bus, enabling faster processing for big data applications and greater data center server consolidation with higher-capacity virtualized servers. This enables lower total cost of ownership with increased performance for cloud computing data center operators and Fortune 1000 enterprise data centers.

"This milestone is a testimony to Inphi's continued LRDIMM memory buffer leadership and focus on delivering valued products for enterprise and cloud data centers worldwide. In 2013 alone, our memory buffer revenue grew by 270%," said Vinod Lakhani, Inphi's vice president, Memory and Storage Interconnect. "Inphi led the industry standard definition of LRDIMMs at JEDEC and continues to aggressively invest in next-generation memory interconnect technologies to extend our technical and market leadership for the upcoming Intel DDR4 server platforms."

"Dell has worked very closely with Inphi to enable high-capacity LRDIMM memory solutions on our industry-leading PowerEdge servers," said Ashley Gorakhpurwalla, vice president of Server Engineering at Dell. "The combination of Inphi's LRDIMM technology and Dell PowerEdge servers has enabled our enterprise and data center customers to address their growing memory requirements while lowering overall total cost of ownership."

"Intel worked with Inphi and the server memory ecosystem to help define and enable LRDIMMs over the past five years. We are extremely pleased to witness the volume ramp of LRDIMMs as the value proposition accelerated with the launch of Intel's® Xeon® Processor E5-2600 v2 product family and cost effective memory modules," said Geof Findley, director, Platform Memory Operations at Intel. "The value and importance of Inphi's LRDIMM technology will continue to rise as we enable and rollout our upcoming next-generation DDR4 server platforms."

"Micron leveraged Inphi's LRDIMM buffers in its high-capacity server DIMMs," said Robert Feurle, vice president of DRAM marketing at Micron. "We see significant growth opportunities for our LRDIMMs in addressing the large memory capacity requirements of in-memory database and big data analytics markets."

In an independent report made by the technology assessment company Principled Technologies, analysts found that doubling a server systems memory with LRDIMM memory and then using Inphi's iMB technology to reduce the data load times could produce up to 148.1 percent better performance(1).

Similarly, a recent Gartner report estimates that two-thirds of the server workloads are virtualized -- an environment that Inphi's iMB technology can optimize. This includes application, Web and database servers; hosted virtual desktops [HVDs]; and file, print and security servers that would normally be deployed on standard physical servers(2).

About Inphi
Inphi Corporation is a leading provider of high-speed, mixed signal semiconductor solutions for the communications and computing markets. Inphi's end-to-end data transport platform delivers high signal integrity at leading-edge data speeds, addressing performance and bandwidth bottlenecks in networks, from fiber to memory. Inphi's solutions minimize latency in computing environments and enable the rollout of next-generation communications infrastructure. Inphi's solutions provide a vital interface between analog signals and digital information in high-performance systems, such as telecommunications transport systems, enterprise networking equipment, enterprise and data center servers, and storage platforms. To learn more about Inphi, visit www.inphi.com.

Inphi, the Inphi logo and Think fast are registered trademarks of Inphi Corporation. iMB is also trademarks of Inphi Corporation. All other trademarks used herein are the property of their respective owners.

(1 )"High-Speed Samsung LRDIMM with Inphi Isolation Memory Buffer," Principled Technologies (August 2012), http://public.dhe.ibm.com/common/ssi/ecm/en/xsl03061usen/XSL03061USEN.PDF

(2) Thomas J. Bittman, George J. Weiss, Mark A. Margevicius, Philip Dawson, "Magic Quadrant for x86 Server Virtualization Infrastructure," Gartner (June 2013), http://www.gartner.com/technology/reprints.do?id=1-1GRGRRU&ct=130702&st=sb

Add to Digg Bookmark with del.icio.us Add to Newsvine

Corporate Contact:
Kim Markle
Inphi
408-217-7329
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

DXWorldEXPO Digital Transformation Stories
Excitement and interest in APIs has skyrocketed in recent years. However, if you ask a room full of IT professionals "What is an API", you will get a wide array of answers. There exists a wide knowledge gap between API experts and those that have a general idea of what they are, but are unsure of what they have been for in the past, what they look like now, and how they can be used to expand your business in the future. In this session John will cover what the history of APIs, what an API looks ...
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.
Traditional on-premises data centers have long been the domain of modern data platforms like Apache Hadoop, meaning companies who build their business on public cloud were challenged to run Big Data processing and analytics at scale. But recent advancements in Hadoop performance, security, and most importantly cloud-native integrations, are giving organizations the ability to truly gain value from all their data. In his session at 19th Cloud Expo, David Tishgart, Director of Product Marketing ...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to impr...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
Andi Mann, Chief Technology Advocate at Splunk, is an accomplished digital business executive with extensive global expertise as a strategist, technologist, innovator, marketer, and communicator. For over 30 years across five continents, he has built success with Fortune 500 corporations, vendors, governments, and as a leading research analyst and consultant.
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...