Bright Computing Bursts Into Cloud

By Tiffany Trader

November 8, 2011

Make way, Bright Computing is coming to the cloud. On Tuesday, the company announced that the upcoming version of its cluster management software, Bright Cluster Manager 6.0, will include support for cloud bursting through Amazon’s Elastic Compute Cloud (Amazon EC2). HPC in the Cloud spoke with Bright’s CEO Matthijs van Leeuwen to get the details.

The new solution supports two scenarios: one is for organizations that do not have their own on-site cluster and the other is for organizations that do. In the first case, the user needs a cluster but because of resource constraints, chooses to run their computations in the cloud. With the new solution, the customer can create a complete cluster in the cloud with access provided through the Bright GUI, from which the user can submit jobs. Bright Cluster Manager provides turn-key support to HPC workloads. It includes MPI libraries, management, and monitoring. All of the cluster goodness is now inside the Amazon cloud. Bright Computing believes it has a unique offering in that everything the customer needs is built-in. Other solutions, like Rocks, offer similar capability, but the cloud-bursting functionality requires the support of a third-party, such as RightScale.

In the second scenario, which van Leeuwen characterized as the more interesting of the two, the customer has an in-house cluster, but needs more capacity, instantly, on-demand. Using the new solution, the customer can add nodes, which although running inside Amazon EC2, appear, from user’s perspective, to be part of the same local cluster. The user can choose to submit jobs to the local queue, to the cloud queue, or to the mixed local and cloud queue. Of course, workloads selected for cloud computation must be easily parallelized, that is able to scale out, in a distributed fashion. Good examples include Monte Carlo or parameter studies, as well as protein docking to the same molecules (as in drug discovery), where you repeat the same process thousands and thousands of times, with little interaction between the individual computations.

Bright Computing is seeing the most interest for cloud bursting in the pharmaceutical industry, where a lot of drug companies are already making use of it, and also in oil and gas, as well as manufacturing. In fact, the CEO was enthusiastic in pointing out the solution’s suitability for the “missing middle” initiative. The US is seeing a big push to revive the US manufacturing industry, especially the small-to-medium-sized manufacturers who can use HPC to increase competitiveness. Cloud bursting is important for this segment because it lowers the barrier to entry for HPC by eliminating the upfront expense of an in-house cluster.

“The customer doesn’t need much Amazon or cloud expertise,” van Leeuwen stated. “Bright Computing Cluster does everything for him. It ensures that the nodes are running with the same software configuration, same versions of libraries and Linux kernels, MPI libraries, mathematical libraries, and the same configurations in terms of network settings, kernel parameters, and on the local cluster.”

Bright Computing: cloud bursting

Bright Cluster Manager 6.0 screen shot

As far as “burstability” goes, Bright Computing does face some competition, most notably from Platform ISF and Adaptive’s Moab, and then there’s the open-source Rocks cluster software, all of which are compatible with Cluster Compute Instances in Amazon EC2. Bright’s message, though, is that their solution is easier to use, with everything the customer needs in one interface.

In the words of the CEO: “All the customer needs to do is provide his Amazon account details, and then Bright Cluster Manager will do everything else.”

Martijn de Vries, CTO of Bright Computing, remarked in the official news release that “the integrated approach…is unique to Bright [and] eliminates multiple failure points typical of cluster management built with toolkits.”

The company has been working on the new capabilities since early summer. The project evolved in response to a growing cloud market, a reality that was confirmed by increased cloud interest from customers and prospects. Indeed, the company considers this a first step to lots more private cloud capability for Bright Cluster Manager. However, van Leeuwen pointed out that Bright Computing has been planning for this day since it started back in 2004 – not for cloud specifically, but for grid, cloud’s predecessor. The original Bright Cluster Manager was developed from scratch with plans to eventually scale into thousands of nodes.

“The next step with private cloud is to make sure we can handle virtual machines as easily as we can handle physical machines, but we’re confident we can do that quickly because we’ve been using virtual machines for internal use for a long time to simulate clusters,” the CEO stated.

To that end, the company hopes to announce more private cloud capabilities in 2012, but in terms of the HPC cloud space, they want you to know that the cloud bursting capability is a very big step. They believe that cloud-bursting is more relevant to HPC in the cloud than the private cloud because the latter is going to be oriented toward general enterprise use.

The company is planning to release 6.0 by the end of the year for early adopters, with general availability scheduled for January 2012. Bright Computing and Amazon will be demonstrating the new capabilities at SC11 in Seattle next week.

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