Amazon Opens Door to Dedicated Hardware

By Nicole Hemsoth

March 28, 2011

Amazon announced today that it would take one step past its recent announcement of their enhanced Virtual Private Cloud (VPC) offering and provide the option of dedicated hardware for customer applications.

According to Amazon’s Jeff Barr, the company’s VPC services weren’t enough for some customers who required network isolation. Some users expressed worry about the fact that other companies could be running on the same host–one of the most frequently-cited cloud concerns.

Certainly, as with any other on-demand instances that aren’t operating in a centralized datacenter that belongs to one’s organization, this announcement still does not alleviate all concerns about using cloud-based (read as ‘remote’ resources). There’s still no way to have complete control over data, but this can be something of a balm for both perception purposes and more concretely, for compliance.

For those who need computational resources and don’t have the wherewithal to purchase and maintain servers or a cluster, this is an ideal offering, in part because it speaks to the perceived security concerns that arise in a multitenant environment even if users might still contend with worries about loss of control or resource centralization. The need for resources versus the inability to invest in hardware have been the central attractors to the public cloud but for those who were hesitant before due to the multitenancy argument, this might finally make the clouds less…shady.

With the current VPC option, users will be able to select whether they want to spin up a private cloud that combines dedicated and normal AWS instances or if they want to just run their application on dedicated hardware.

Barr notes that when it comes to virtualization and the availability of virtual private clouds, even though the company already uses a sophisticated version of the Xen hypervisor to ensure that users are completely isolated from one another, customers have been hesitant.

In essence, this type of service is roughly the same thing that HPC users could get from an HPC on-demand service providers. R Systems, Cycle Computing (which pulls its bread and butter out of the Amazon empire), Sabalcore, SGI’s Cyclone—the list goes on—all have faced stiff competition from users who need resources without the hardware investment but now instead of standing on the security and regulatory grounds to show that their services are more appropriate, these HPC on-demand providers will need to beef up other claims as well as provide clear signs that their pricing models are more attractive.

Comparing pricing for Amazon’s Dedicated Instances running for HPC workloads will take some application-dependent math and guesswork but taking it a step further, using that information to compare the Amazon Dedicated Instance to the host of other HPC on-demand pricing models is going to be a challenge due to the completely different ways each provider prices their offerings.

The pricing for this new option is somewhat different than the way Amazon bills for some of its other cloud services as it is split between two fee structures. On the one hand, users will incur a fee for each instance and then will also pay what they call a “dedicated per region fee” which is a flat $10 per hour although isn’t contingent on how many instances are running in any particular region. This regional fee varies by where the instance is running and also changes according to the OS and performance level.

As Barr states, “When you launch a dedicated instance, we can’t use the remaining ‘slots’ on the hardware to run instances for other AWS users. Therefore, we incur an opportunity cost when you launch a single dedicated instance. Put another way, if you run one Dedicated Instance on a machine that can support 10 instances, 9/10ths of the potential revenue is lost to us.”

An additional option is one-time payments per instance based on a contract with Amazon in which the user would get a discount on the hourly use fees.

What’s worth noting here, however, is that while it might be difficult to understand exactly how the pricing models compare with another, one thing that users will need to factor into any decision or comparison is the support angle.

While the Dedicated Instances might be attractive from a cost perspective after the heavy lifting process behind price comparing is finished, remember that HPC on-demand providers factor in a very important element that Amazon doesn’t provide—support.  And lots of it.

Put another way, Amazon simply provides you with the hardware and counts on your own internal expertise but for some applications, bare hardware and basic instructions aren’t going to cut it.

While it might be tempting to think that on-demand providers are going to be further spurred to beef up their offerings and take another look at their pricing, it’s probably more realistic to see the critical support factor becoming central to their messaging and packaging—and rightly so.

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