A Petabyte of Flash in a Rack

By Michael Feldman

August 20, 2012

Solid state storage specialist Nimbus Data Systems has unveiled its third-generation flash memory array, setting new benchmarks on resiliency, performance, and capacity. The new product, known as Gemini, offers up to 48 TB of capacity and over 1 million IOPS per 2U box. And despite moving to the less expensive and less reliable consumer-grade MLC flash, Nimbus has managed to double the endurance of its storage arrays.

Nimbus main market strategy has been to offer all-flash storage systems that compete on a cost-capacity with 15K spinning disk systems, but at much higher performance, density, and energy efficiency. The Gemini offering promise to do even better on all three counts thanks to this technology upgrade. It will also shave off a couple of dollars per gigabyte in up-front cost — $8/GB for Gemini versus $10/GB for Nimbus’ second-generation S-class arrays, which were based on the more expensive enterprise MLC flash (eMLC). At that price, it’s harder than ever not to seriously start looking at flash for primary storage.

Not that Nimbus buyers needed much encouragement. According to company CEO and founder Thomas Isakovich, Nimbus has already collected 230 customers, including big accounts at eBay, the US Department of Defense, and major wins at the world’s largest news provider and largest content provider. On the heels of 10 consecutive quarters of profit growth, year-over-year revenue grew 500 percent. If Gemini lives up to its specs, Nimbus has a good chance to continue that breakneck pace.

Just on a capacity basis, the new 2U box more than quadruples the maximum storage, from 10 TB in the previous S-class product to 48 TB for Gemini. That works out to about a petabyte per rack, which is 8 times denser than what a typical 15K disk storage system can achieve.

Impressive as that is, it’s still not as dense as the enterprise MLC flash systems unveiled last week by Skyera, another Silicon Valley startup looking to cash in on enterprise flash storage. Skyera’s new Skyhawk box puts 44 TB in a 1U box, nearly twice the density of Gemini. And like Gemini, each Skyhawk box promises up to a million IOPS.

Unlike Skyera however, which currently offers an Ethernet-based SAN solution, Nimbus supports both SAN and NAS protocols, as well as all the standard network flavors — Ethernet, Fibre Channel and InfiniBand (now including FDR). The Gemini software also allows users to switch network protocols on the fly, offering the ultimate in flexibility. In addition, Nimbus will warranty their new MLC-based gear for a full 10 years, twice as long as Skyera’s 5-year guarantee.

But according to Isakovich, the most notable new capability Gemini adds is nonstop availability. Each 2U box now comes with two flash storage controllers for complete redundancy (Gemini twins, get it?). The controller itself, also known as Gemini, is Nimbus’ first completely custom board. It’s designed to eliminate any single point of failure as well as enable maintenance like software update, capacity expansion, and component hot swaps (storage processors, drives, power/fans) to take place without powering down the system.

Gemini also incorporates what the company calls “Flash Lifecycle Management,” which provides the essential functions of error correction and wear leveling in order to cope with the more severe endurance problems that consumer-grade MLC brings with it. Specifically, they’ve taken wear leveling to the extreme. Not only does the controller spread write operations across all the flash drives in the box, but also across the flash chips themselves. According to Isakovich, that makes it possible to write as much as 1.2 petabytes per week for up to 10 years.

Underneath the covers of Flash Lifecycle Management is something called “Distributed Cache Architecture,” a patent-pending technology in which the cache is located on the flash drive itself rather than upstream at the controller. In the Nimbus design, the cache is located on a DRAM chip that Nimbus has glued to the drive and is controlled by an on-board ASIC (which is also doing ECC and wear leveling). This setup has a number of advantages including eliminating the need for mirroring in a multi-controller configuration and allowing cache to scale automatically as flash capacity grows.

“At the end of the day, the customer only vaguely cares about any of this,” says Isakovich. “All they want to know is: ‘If the flash burns out, are you going to stand by it?’ And our answer is: absolutely.”

Even though Nimbus’ mainstream customers are running enterprise workloads — server virtualization, databases, virtual desktop infrastructure, and big data-type apps — high performance computing is another market the company has found some traction. According to Isakovich, the company has some wins at supercomputer centers, although none of these customers have gone public yet. Some of these HPC buyers deployed with the older S-class systems, but others apparently held out for Gemini.

Certainly a petabyte storage rack delivering 20 million IOPS, hooked directly to a supercomputer’s InfiniBand network, would be a tempting setup for a range of data-intensive applications. That kind of solid state capacity is not going to come cheap though. Even at $8 per gigabyte, a full petabyte would run a cool $8 million. Nimbus, of course, would love to sell such a system.

The new Gemini gear will be available in the fourth quarter of 2012.

 


 

Related Articles

Startup Aims to Upend Enterprise Storage with MLC Flash-Based Systems

Nimbus Brings Half Petabyte Flash Storage to Market

Texas Memory Systems Enters Primary Storage Game with eMLC Flash Offering

Nimbus Revs Up Flash Storage Offering

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announced its second fund targeting €200 million. The very idea th Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire