An Intelligent Public Cloud for HPC

By Nicole Hemsoth

July 27, 2010

When the news about Amazon’s new instance type for EC2 called Cluster Compute Instances (CCI) emerged, the official statement indicated the cooperation of a few companies, including Cycle Computing and RightScale, although the details of their involvement were not immediately clear. This morning one of the cloud services vendors noted in the announcement, Adaptive Computing, issued a release detailing some of its contributions to Amazon’s HPC instance type, along with some details about their process of testing the performance of the public cloud.

There has been no word from Amazon about how it selected its partners as much as a year in advance of the official CCI announcement, but Adaptive does provide a way to maximize public and private cloud utilization, which would certainly explain Amazon’s interest in the relatively small company. While they are small, they have been involved in some of the largest-scale HPC and HPC cloud deployments. Adaptive Computing specifically targets the HPC market with its array of policy-driven automation offerings based on Moab technology. This technology ensures that resources in the cloud can be utilized as efficiently as possible and according to the policies that govern resource usage and might help make the public cloud more “intelligent”. 

President of Adaptive Computing, Michael Jackson, remarked on the fact that until Cluster Compute Instances became available many of their customers were disappointed with the performance of HPC capabilities in the public cloud but that this offering does offer some more viable alternatives for these customers. Jackson commented that following their tests, they saw the possibility for a whole new class of HPC users to enter into the space, which is quite good news for a company that is directly aligned with this market segment—a segment that is growing very quickly, according to research group IDC, among others.

Testing the Intelligent HPC Cloud

One of the more compelling aspects of the Adaptive announcement today were the statements about Adaptive’s testing of Amazon’s new HPC cloud environment. Since this is a new and relatively untested (widely and publicly) instance type, hearing more about the performance levels, even if it was coming from the perspective of a firm whose best interest it is to extol the virtue of this public cloud, was at least informative.

Following what it called “extensive testing” Adaptive Computing declared that the new Amazon Cluster Compute Instances as “robust, reliable and capable of delivering the compute power, bandwidth and low latency required by HPC class applications. Adaptive’s VP of marketing, Peter ffoulkes, described some of the company’s perceptions following the testing they conducted to determine the performance of Amazon’s new HPC offering:

Amazon’s press release referenced one of our customers NERSC, stating that “we found our HPC applications ran 8.5 times faster on Cluster Compute Instances for Amazon EC2 than the previous EC2 instance types.” That is quite a reasonable endorsement, although they didn’t make any comparisons (that I have seen)to their own internal HPC systems.

The Intel Nehalem based systems the Amazon CCI capability is based on have been a platform of choice for many HPC facilities implementing x86 HPC systems. From the network perspective, not all HPC applications require low latency, but the “10gigE” network is no slouch. It is less expensive to implement than Infiniband and several informed sources (one being Jeff Birnbaum of Bank of America, talking about latency at the High Perormance Linux for Financial Markets event last April) opined that although 10GbE is not as good as Infiniband it’s close.

In terms of their own contribution to the functionality of the new instance type, Adaptive stated that “Moab technology ensures that cloud resources can be utilized with up to ninety-nine percent efficiency and, when combined with Amazon’s EC2 Cluster Compute Instance environment, creates a dynamic and intelligent environment that offers excellent value and return on investment in HPC cloud resources.”

A Seachange for HPC or a Small Wave?

According to Peter ffoulkes, the introduction of Amazon’s Cluster Compute Instances represents another step toward greater maturation of cloud offerings.  He also stated that “True HPC class cloud services will not only help ‘democratize’ the HPC market by lowering the barrier to entry and thus expanding the market, but will also offer agility in providing the ability to rapidly implement HPC services for existing “traditional” HPC facilities.”

Adaptive’s ffoulkes provided a realistic, grounded response to the idea that Cluster Compute Instances represent a sea change in the HPC and cloud space, stating that although there will be new customers entering the HPC market via Amazon’s new offering:

We don’t expect HPC cloud services to replace traditional HPC facilities any more than rental cars or car sharing schemes have replaced personal car ownership.  They simply add more options to the market which is a good thing. We are very strong believers in the private cloud computing paradigm (cloud services delivered on systems owned by the host organization), and that private HPC clouds will become more prevalent over time as awareness that cloud computing approaches can be used to deliver HPC services on the most advanced architectures with no loss of capability.

Given that they participated in some of the early testing behind Amazon’s Cluster Compute Instances, I asked ffoulkes whether or not he felt that their announcement marked a seachange for HPC as it might now be more accessible via the cloud.

Amazon’s Cluster Compute Instances are not the first HPC Cloud offering available, Rocky Mountain SuperComputing Centers was specifically created to offer “Supercomputing as a Service” to businesses and other organizations in Montana, but Amazon clearly has much more significant visibility.  To that extent I would say it absolutely marks a sea-change in the cloud market, with public cloud vendors recognizing that a “one size fits all” approach might have been acceptable in the early stages of the cloud computing market place, but as the market is beginning to mature a wider range of capabilities will be required and offered by multiple vendors, including but not limited to “HPC as a Service”.

Adaptive’s ffoulkes was likely harboring a little Amazon-related secret back when he gave this interview at ISC in Hamburg this past June. Even still, his statements here carry over to the announcement from Amazon and the future and viability of the public cloud for HPC.
 

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