Penguin Joins Microserver ARMs Race

By Michael Feldman

October 18, 2012

Penguin Computing has launched its first ARM-based server platform. Known as the UDX1, the Penguin box is based on Calxeda’s latest ARM server chip, and is aimed at cloud computing, Web hosting, and, especially, data analytics – UD stands for Ultimate Data. The move puts Penguin into the front ranks of computer makers who are testing the waters for the burgeoning microserver market.

Although Penguin is best known for its HPC cluster offerings, it also sells into the enterprise space, from which it currently collects half its revenue. With established customers like Digg and Yelp, the company is looking to expand its footprint even further in the commercial arena. One of the ways it intends to do that is via the “big data” market, an application domain that spans genomic sequencing, risk analysis for stock portfolios, retail analytics and everything in between. Conveniently that encompasses the company’s HPC and enterprise customer bases.


The idea behind the UDX1 is to offer a less costly and more energy-efficient platform for these data-intensive applications. In general, x86 Xeon and Opteron servers offer more computational power than needed for applications that tend to be I/O bound. Therefore, rejiggering the compute-I/O balance by cutting back on thread/core performance can, at least in theory, offer a much more efficient solution.

That’s the premise of the microserver architecture, which uses less performant, but much lower power processors, such as ARM SoCs and low-power Intel Xeons and Atoms, to drive these throughput applications. In Penguin’s case, the UDX1 uses Calxeda’s latest EnergyCore ECX-1000 ARM server SoC, a quad-core chip that tops out at 5 watts. Each 4U enclosure houses up to 12 Calxeda modules, each holding four of those SoCs.

Note that the current crop of Calxeda server chips are based on 32-bit ARM, so there is that annoying limitation of a 4 GB memory reach. But for Hadoop-type workloads that can slice up datasets into bite-sized chunks, and scale out appropriately, this is a manageable problem.

Since each ARM chip comprises a complete server node, the UDX1 chassis offers 48 servers, in aggregate, (so 192 cores). Each node can hook into 4GB of DRAM and 36 1GB storage drives. Network switching is provided in the form of an on-chip network fabric supporting 10GbE connectivity between nodes, obviating the need for an external switch. In addition to on-chip Ethernet, the SoC includes integrated controllers for memory, PCIe, and SATA drives, as well as system management logic.

Since each of the servers runs 5 watts at full load, the whole chassis draws only 240 watts. Not bad for 192 cores. Obviously these are not Xeon cores; the ECX-1000 chip tops out at 1.4 GHz, which is less than half the speed of a top-end x86 server CPU. But in its intended space of divide-and-conquer-computing, there are a lot less wasted cycles waiting for I/O to catch up. At just a little over a watt per thread, energy-efficiency is an order of magnitude better than conventional server platforms.

According to Arend Dittmer, Penguin’s director of product marketing, a fully-populated UXD1 chassis will run about $30-35K. He says they already have a trio of orders for the new platform: one from a financial services firm, and the other two from national labs – all for data analytics work. At this point, the systems are being targeted for experimentation, rather than production, as customers kick the tires to see how well the Penguin box works under their analytics loads.

While the volume market for such microservers is going to be in the commercial space, Dittmer sees such systems filling a comfortable niche in HPC shops. He says, for mainstream science computation, where FLOPS are king, this is not the right platform (and doesn’t try to be). But since there is a finite amount of power and real estate in a datacenter, it makes sense to offload the data analytics work of science to more efficient hardware like the UXD1.

Penguin is not the only server maker utilizing Calxeda silicon. UK-based Boston Limited offers a very similar system to the UXD1, which they call Viridis. The Boston box is a 2U chassis that houses up to 48 Calxeda nodes and is aimed at essentially the same application space that Penguin is targeting. According to David Power, Boston’s Head of HPC, they have a 36-bay, 4U platform in the works, based on the same Calxeda SoCs.

Both vendors are already looking ahead to Calxeda’s plans for its 64-bit ARM SoC, which the company has code-named “Lago.” No one has committed to a date, but it’s reasonable to think that these chips should start to appear in the 2014 timeframe, with server implementations to follow shortly thereafter.

By that time, Penguin and Boston should have plenty of company. HP has been flirting with Calxeda for some time with its Project Moonshot development platform, but opted to go with Intel Atom CPUs for its initial microserver line. Dell has been dipping its toes into the microserver space as well, but gave the nod to Marvell’s quad-core Armada XP 78460 chip. IBM has yet to choose sides, but if these initial microserver platforms start to gain traction, you can bet Big Blue will figure out a way to get into the game.

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!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire