Bob Graybill Starts National Clearinghouse Firm for HPC Services

By Tiffany Trader (HPC)

October 16, 2008

Bob Graybill, whose high-profile roles have included heading the DARPA High Productivity Computing Systems (HPCS) program and working with USC-ISI, the Council on Competitiveness and half a dozen big defense contractors, is now CEO and president of a start-up. Nimbis Services aims to expand HPC use in manufacturing by brokering cycles, storage and expertise.

HPCwire: What was the rationale for founding Nimbis Services?

Bob Graybill: The company’s direction is based on more research data and market experience than most new companies have at their disposal. That includes three years of comprehensive studies, IDC surveys and conferences funded in part by DARPA, DOE, NNSA, and NSF that were led by the Council on Competitiveness and University of Southern California Information Sciences Institute. The research included in-depth discussions with the Council’s HPC Advisory Committee comprised of senior industry, academic, laboratories and government representatives.

HPCwire: What was the gist of the findings?

Graybill: There’s a huge benefit from using HPC to do modeling and simulation, or what we call digital analysis computing, in order to accelerate competitiveness. Larger companies have been benefiting from this for years, but there’s a huge gap between the P&W and Procter & Gambles of this world, and their supply chains. The studies identified major barriers preventing smaller firms and business units from moving beyond their desktop computers to exploit HPC. The barriers include the cost of acquiring HPC systems and ISV software, as well a lack of expertise in how to use HPC resources. The studies also showed that in larger companies it’s not unusual for users to go outside of their divisions to get HPC resources because the resources within the division are often fully utilized.

HPCwire: What happens when HPC isn’t available?

Graybill: In companies of any size, when people don’t have access to HPC they typically do one of three things, none of them ideal. They might just ignore the problem, or they might downsize the problem so it can run in a reasonable period of time on a desktop computer. That allows you to run a lot more jobs, but it could limit the quality of the product because you’re not modeling fully. Sometimes people also revert to more physical experimentation if they can’t model the problem on the desktop. But building multiple physical prototypes is significantly more expensive from an engineering, manufacturing and time-to-market perspective. It’s also much more labor intensive, so it disadvantages countries like the U.S. that have higher labor rates.

HPCwire: Did the company name come from Harry Potter’s turbo-broomstick?

Graybill: Both names come from the Latin nimbus, meaning “cloud.” Ours is the plural form, nimbis. We wanted to find a unique, memorable name. I hope we succeeded.

HPCwire: You’ve been in HPC leadership positions in government and academia. Why did you decide to pursue the goal of helping to boost industrial competitiveness though a private company?

Graybill: Our first approach was to try a non-profit model like MOSIS, which USC-ISI has run over the past 25 years to aggregate multiple semiconductor chip designs onto a single wafer run, but we got strong feedback from this target industry segment that they wanted to deal with an organization that has a real stake in the game. This suggested a for-profit approach. The business model Nimbis Systems adopted is based on discussions with major OEMs, their suppliers, and ISVs.

HPCwire: Which part of your background was most helpful for your role with Nimbis Services?

Graybill: I’m not sure if there was any single one. It was a combination. There was my Lockheed-Martin experience managing large engineering organizations and the challenge of consolidating and reorganizing groups for business reasons. Probably the most relevant experiences were DARPA and the Council on Competitiveness. As a DARPA program manager, you were expected to come up with new programs and present them like a VC pitch, and you’d come away with either a check or no check. At DARPA I worked with a very diverse community of academic researchers, industry thought leaders and senior government representatives. It was a fantastic experience. The Council also gave me an opportunity to work with senior folks in academia, industry and the labs but from a slightly different perspective: competitiveness and ROI instead of R&D. I got a good feel for what drives their decisions and the factors that might make them interested in a potential product or service.

HPCwire: What is the business model for Nimbis?

Graybill: To be a business-to-business brokerage or clearinghouse. The idea is to provide pre-negotiated access to cycles, software and expertise on an on-demand, pay-as-you-go basis. We won’t own any equipment or do consulting ourselves. We’re simply a clearinghouse that builds a menu of quality services and then brings the buyers and the sellers of those services together. Our targets are periodic and experimental users, initially in the manufacturing sector. These are people who don’t want to jump over huge hurdles to get the benefits of modeling and simulation using HPC. We’re an aggregator of services. We also help our partners, our service providers, by reaching out to a brand new community on their behalf.

HPCwire: What is your menu of services today, and how do you expect that to grow?

Graybill: Our initial focus is primarily in the manufacturing area, including computing cycles, storage, and ISV software. Over the next year or two, we plan to expand to other areas, and from a capabilities perspective we plan to adopt a more automated approach to connecting to expertise, almost like a business social network.

One thing that’s clear from the past three years of in-depth surveys and heavy interactions with users and vendors is that there is no one simple solution to learning how to expand the use of modeling and simulation analysis. It takes an ecosystem, and Nimbis will be an enabler in this. We recently announced a partnership with the Ohio Supercomputer Center. OSC was one of the first HPC academic centers to recognize that there is a gap between high-end users and desktop scientific and engineering users. OSC and their Blue Collar Computing initiative are a perfect fit with Nimbis’ strategy. They provide regional outreach to companies in their area, including compute cycles and expertise. They provide a path so that these users can migrate, if they wish, to longer-term production cycles from Nimbis. So, OSC provides transitional outreach. OSC benefits from Nimbis Services’ ability to provide on-demand commercial licenses as driven by their industry R&D partners.

We are in the process of formalizing relationships with HPC centers in other parts of the country. It’s important to have good geographic coverage because companies have shown a strong preference for working with HPC centers in their own regions.

HPCwire: What are the advantages for HPC services buyers and sellers of working with a company like Nimbis?

Graybill: Buyers usually have a short time window to come up with a solution to a problem. They have a limited budget and are not planning any in-house digital analysis computing capability. We lower the barriers so they can try out the software packages and run them on different cycle providers. We will give them a choice of ISVs, cycle providers and whatever additional expertise they need in a one-stop-shopping experience through a single Web portal. Without this, it might take them many months to investigate one element of the solution at a time. With Nimbis, they can turn the faucet on and off as they wish. We’re about on-demand computing. Nimbis also gives potential users an opportunity to explore the use of modeling and simulation beyond the desktop without investing in the hardware and the software licenses.

For sellers, Nimbis is a new marketing channel, a feeder channel for potential long-term users.

HPCwire: What other business relationships can you talk about?

Graybill: We’re about choice rather than exclusivity, so we welcome discussions with any potential partner that can provide quality HPC services within our format and requirements. As our Web site shows, as of today we have agreements for cycles and storage with IBM, Amazon Web Services and R-Systems. We also have agreements for R&D cycles, storage and consulting services from OSC. We have arrangements with the National Center for Manufacturing Science for expertise in commercializing products, with Wolfram Research for ISV and consulting services, and with Decision Incite for consulting services. We’re far along in discussions with additional ISVs and HPC centers. We expect to add a lot more ISVs in the next 12 months.

HPCwire: The Council on Competitiveness studies you referred to concluded that lowering the barriers to HPC use for desktop users would boost U.S. industrial competitiveness. Is that part of Nimbis’ mission?

Graybill: Boosting U.S. industrial competitiveness isn’t part of our mission as a private, for-profit company, but if we succeed we expect that to happen along the way. Nimbis is creating a focal point for connecting buyers and sellers in the digital analysis computing community. We’re an enabler that can help service providers to grow and users to become more competitive. We are trying to provide a way for everyone to grow.

HPCwire: Will Nimbis offer services to non-U.S. organizations?

Graybill: Our partner network of cycle providers is U.S.-based, and anyone can use these services. We’re talking with non-U.S.-based ISVs with the aim of making their products and expertise available through our U.S.-based cycle providers.

HPCwire: What’s next for Nimbis? Will we see you at SC08?

Graybill: We plan to announce additional partnerships with ISVs and HPC centers in the coming months. We’ll enter beta status in the first quarter of 2009 and offer beta opportunities early next year. That means we’re looking for beta users now. We’ll go into production in the first half of 2009. One ideal type of beta user is a partnership that includes a motivated OEM, a supplier, and an ISV with a specific application they want to address right away. Another ideal combination is a tier 1 firm with a supplier and an ISV. A third combination is an HPC center and a supplier.

At SC08, Nimbis will be featured in partner booths and we’ll have one or more demos available in partner booths.

HPCwire: Is there anything important I didn’t ask about?

Graybill: As I look back over the past three years and the Council on Competitiveness and government survey findings, what strikes me is that the democratization of HPC, or digital analysis computing, really requires the engagement of all parties within the ecosystem: academia, HPC centers, ISVs, OEMs and users. We see Nimbis as one of the tools that will help accelerate the use of digital analysis computing and help more competitive products to be developed. There is a role everyone needs to play, and we want to be a key facilitator to make this happen. We want to be a rallying point. We’re not a whole solution, but an enabler. The immediate need is to lower the barriers, and then the ongoing business model is to provide these services and expertise to businesses that need it for the long haul.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Scalable Informatics Ceases Operations

March 23, 2017

On the same day we reported on the uncertain future for HPC compiler company PathScale, we are sad to learn that another HPC vendor, Scalable Informatics, is closing its doors. Read more…

By Tiffany Trader

‘Strategies in Biomedical Data Science’ Advances IT-Research Synergies

March 23, 2017

“Strategies in Biomedical Data Science: Driving Force for Innovation” by Jay A. Etchings is both an introductory text and a field guide for anyone working with biomedical data. Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

Google Launches New Machine Learning Journal

March 22, 2017

On Monday, Google announced plans to launch a new peer review journal and “ecosystem” Read more…

By John Russell

HPE Extreme Performance Solutions

HFT Firms Turn to Co-Location to Gain Competitive Advantage

High-frequency trading (HFT) is a high-speed, high-stakes world where every millisecond matters. Finding ways to execute trades faster than the competition translates directly to greater revenue for firms, brokerages, and exchanges. Read more…

Swiss Researchers Peer Inside Chips with Improved X-Ray Imaging

March 22, 2017

Peering inside semiconductor chips using x-ray imaging isn’t new, but the technique hasn’t been especially good or easy to accomplish. Read more…

By John Russell

LANL Simulation Shows Massive Black Holes Break ‘Speed Limit’

March 21, 2017

A new computer simulation based on codes developed at Los Alamos National Laboratory (LANL) is shedding light on how supermassive black holes could have formed in the early universe contrary to most prior models which impose a limit on how fast these massive ‘objects’ can form. Read more…

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Intel Ships Drives Based on 3D XPoint Non-volatile Memory

March 20, 2017

Intel Corp. has begun shipping new storage drives based on its 3D XPoint non-volatile memory technology as it targets data-driven workloads. Intel’s new Optane solid-state drives, designated P4800X, seek to combine the attributes of memory and storage in the same device. Read more…

By George Leopold

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

New Japanese Supercomputing Project Targets Exascale

March 14, 2017

Another Japanese supercomputing project was revealed this week, this one from emerging supercomputer maker, ExaScaler Inc., and Keio University. The partners are working on an original supercomputer design with exascale aspirations. Read more…

By Tiffany Trader

Nvidia Debuts HGX-1 for Cloud; Announces Fujitsu AI Deal

March 9, 2017

On Monday Nvidia announced a major deal with Fujitsu to help build an AI supercomputer for RIKEN using 24 DGX-1 servers. Read more…

By John Russell

HPC4Mfg Advances State-of-the-Art for American Manufacturing

March 9, 2017

Last Friday (March 3, 2017), the High Performance Computing for Manufacturing (HPC4Mfg) program held an industry engagement day workshop in San Diego, bringing together members of the US manufacturing community, national laboratories and universities to discuss the role of high-performance computing as an innovation engine for American manufacturing. Read more…

By Tiffany Trader

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Leading Solution Providers

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This