R Systems Intros ‘Under One Roof’ Cloud Bursting Model

By Oliver Peckham

July 24, 2019

R Systems formed in 2003 as a a spin-off of the National Center for Supercomputing Applications (NCSA). One of a handful of small, on-demand HPC cloud providers founded in the early 2000s, R Systems has differentiated itself from the larger cloud public cloud vendors by providing tailored access to bare metal HPC clusters — and now, R Systems sees another way to differentiate itself.

HPCwire caught up with R Systems recently to learn about its new offering: an approach combining dedicated infrastructure with cloud bursting capabilities in one datacenter, contrasting with the more well-known cloud bursting model offered by major public cloud providers.

Overdeployment and underutilization

R Systems’ first customer for this new offering is Inphi, a company that specializes in the development of high-speed data movement interconnects using electronic design automation (EDA) computing. For years, Inphi had struggled with a problem common to EDA software users: Inphi’s computing needs peaked a few times a year, and it was buying hardware to meet those peak needs.

This meant that for much of the year, Inphi’s internally-owned computing hardware sat largely unused. The company said that previously, they were forced to purchase twice as much computing capacity as they generally needed, resulting in low utilization and high costs. “We at Inphi, like the rest of the industry, were well aware of this over-spending model,” said Scott Clark, Inphi’s vice president of IT, “but our options were limited.”

This led Inphi to seek alternatives to on-premises deployment. Cloud bursting – sending some peak workloads to a cloud service provider – had been a popular solution in similar use cases, as it eliminated the need to buy more hardware than was necessary for constant load. However, this hybrid on-premises/cloud approach posed its own drawbacks — in particular, high latency when transferring large amounts of data, resulting in slowdowns during critical crunch periods. Inphi also worried about the impacts on complexity and security that might come with a shift to operating both an on-premises system and a cloud system.

The ‘under one roof’ approach

R Systems laid the groundwork for a new hybrid cloud bursting model when it expanded its infrastructure into Switch, a Tier 5 platinum datacenter in Las Vegas. Inphi was already colocating its computing resources at facilities like these, and R Systems introduced the ability to do cloud bursting in the same facility where client-owned equipment was colocated.

For its initial “under one roof” deployment, Inphi’s available computing power comprised 10,000 owned cores and an additional 10,000 burst cores available for peak usage, connected by dark fiber.

Subsequently, Inphi’s dedicated cluster now sees utilization rates of 95 percent versus a previous low of 50 percent. The fact that the data never leaves the Switch facility or gets processed on a shared resource allays security concerns that Inphi had previously when considering hybrid cloud solutions.

When Inphi isn’t using those additional cores for cloud bursting, R Systems schedules other users into the gaps. Ideally, R Systems explained, its major users schedule resources around a year in advance, allowing them to optimize the load across its machines throughout the year – but it can also leverage resources in as little as one week. When resources remain available between scheduled usages, the company might offer availability at a discounted rate.

For now, R Systems’ computing power is driven primarily by dual-socket Intel configurations – including Skylake, Ivy Bridge and Broadwell CPUs – as well as some AMD- and GPU-powered systems. Michael Senizaiz, CTO of R Systems, explained that the largely homogeneous composition of their systems allows for greater scalability, which tended to benefit users more than the performance gains from running specialized hardware.

At the moment, the cost benefits of R Systems’ hybrid model are unclear in terms of hard numbers, though representatives suggested that it was cost-competitive, largely due to the savings gained from not having to overbuild hardware for peak bursting periods. The company pointed out other benefits of its model – such as increased security and decreased risk of producing a faulty product – are more difficult to quantify.

Room for growth

R Systems says it is currently in talks with three more EDA clients interested in the “under one roof” approach. Brian Kucic, principal and co-founder of R Systems, hopes that users who get a taste of the “under one roof” will be likely to buy in for greater usage over time. “It seems like with many of our users, the more you give them, the more they use,” he said. And, while R Systems is targeting the EDA space first, they are looking at expanding the service to other suitable industries — notably, oil and gas and manufacturing.

Inphi is similarly hopeful about R Systems’ approach. “If other EDA companies like Broadcom and Qualcomm adopt this model,” Clark said, “it’ll ensure more EDA-optimized infrastructure is available for bursting.” 

“There is a lot of elegance in the simplicity of running all of our HPC workloads under one roof,” he continued. He likened it to the early days of 100 percent on-premises computing. “Simplicity,” he said, “is always better.”

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!

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 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…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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 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…

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…

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…

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…

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…

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