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

By John Russell

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. Now, says Ken King, general manager, OpenPOWER, for IBM Systems Group, it’s time for all that organizational and technology rubber to hit the road and be converted into volume sales. That’s a tall, but very doable order, he argues.

IBM’s broad ambition, of course, is to make a big dent in Intel’s ironclad grasp of the x86 server landscape. “This year is about scale. We’re [IBM/OpenPOWER] only going to be effective if we get to 10-15-20 percent of the Linux socket market. Being at one or two percent won’t [do it],” says King. In a wide-ranging conversation with HPCwire, King and Brad McCredie, IBM Fellow with responsibility for technology oversight of IBM Power Systems, discussed what’s been accomplished and what remains to be done to make IBM/OpenPOWER successful. King also shares some interesting insights on China market dynamics.

IBM’s Ken King

There’s no shortage of doubters. Taking on Intel is not for the faint hearted. IBM has perhaps sounded a strident note around the Power initiative in past years. As 2017 gets rolling King’s comments seem tempered by the tremendous efforts required so far. Make no mistake, IBM remains very confident, suggests King, but also clear-eyed about the challenges and encouraged by how much has been accomplished.

Here a very brief sampling of important IBM/OpenPOWER achievements so far:

  • OpenPOWER Membership has grown to 280-plus since its incorporation in December 2013 by signature founders IBM, NVIDIA, Mellanox, Google, and Tyan. Basically all elements of the IT technology supplier landscape (accelerator chips, networking, storage, software, etc.) are represented. Says King, “We don’t even think about how many members there are anymore.” There’s enough.
  • IBM’s Brad McCredie

    Technology. The Power8 and Power8+ (NVLink) processors are out and in products. CAPI (Coherent Accelerator Processor Interface technology) for Power8 is out and work on OpenCAPI, launched in October 2016, is well underway – “It’s an entirely new open standard that has a unique physical and protocol layers. The one thing that we did was preserve the APIs the accelerator sees,” says McCredie.

  • Power-based Products. In September IBM launched three new Power8/8+ servers including Minsky – the first commercial product with NVIDIA’s Pascal P100 GPU. Around ten Power-based systems from OpenPOWER partners (including from HPC stalwart Supermicro) were announced or launched at SC16. IBM launched PowerAI bundling of Minsky optimized for deep learning and intended to make DL adoption in the enterprise easier – King says more “packaged” solutions (finance, manufacturing, etc) are in development.
  • Hyperscale Wins. Google (and Rackspace) announced in the spring plans for a Power9-based server supporting OCP. More recently Tencent – China largest Internet portal – announced plans to include Power-based systems in its mix. The market is still watching to see how quickly these announcements turn into real offerings for hyperscale customers and sales for IBM/OpenPOWER. IBM’s own cloud may be seen as a competitor though it’s unclear how much effect on wider OpenPOWER adoption it will have.
  • Developer Clouds. IBM launched SuperVessel, its Power-based cloud development platform, in Europe and China last year. At SC16 Big Blue launched collaboration with HPC cloud specialist Nimbix which has put the PowerAI platform and associated developer tools in its cloud.
  • Power8/9 Roadmap. As noted, the Power8+ chip implemented NVLink for GPU communications. Power9 is due in 2017 and is expected to support NVLink and PCIe4 and also leverage OpenCAPI. Unlike the Power8 chip launch, which was strictly an IBM affair, the Power9 debut (four initial versions) will be an OpenPOWER family affair, says King, with numerous partner contributions and implementation commitments announced together.

The stakes are clearly ratcheting up. It’s also probably worth repeating that accelerator-assisted computing, driven by innovations from diverse ecosystem partners, is the fundamental IBM/OpenPOWER vision. This contrasts, argues King, with centralized control over architectural advance as practiced by Intel. No doubt Intel sees it differently. In any case, the ‘decline’ of Moore’s Law and the rise of heterogeneous computing as the necessary route for advancing high performance (in science and the enterprise) is a core IBM/OpenPOWER value proposition.

Asked whether or not IBM is satisfied with the progress, King is surprisingly candid.

“There’s no one answer to that. There are multiple answers in my opinion. My bosses are, of course, going to say not fast enough to the monetization, right. That said, as we work with our partners – and some of them are very large partners that understand this market really well – in a couple of cases when we’ve met with them and I expressed my concern about monetization not happening fast enough, their feedback was, ‘Are you kidding? What are you expecting? You are starting from ground zero for the most part and in two years look where this has come. It takes five years to really scale from a monetization perspective’,” says King.

Five years seems an eternity in the technology, yet many analysts agree that’s probably what it takes given Intel’s dominant position and the customer challenges in making a switch.

Addison Snell, CEO, Intersect360 Research, says, “IBM has all the right pieces in place for Power, and now the challenge is that they actually have to make sales. IBM did announce some good wins in both HPC and hyperscale markets around SC16, and we’ll get our first look at how much the total volume picked up when we do our total market model over the next few months, and of course, in our annual HPC Site Census survey. Our 2016 Site Census survey didn’t pick up any significant number of new Power-based installations, but that was before Minsky was available, and IBM could see things picking up from here.”

King recognizes the challenges.

“Just to finish the thought. On the deployment side, as I said earlier, you are seeing now a lot of significant growth. This year is scaling. The challenge we are working through is the switching cost. On existing workloads you’ve got clients already ingrained in their datacenters with x86-optimized based solutions. We have to show significant cost-performance advantage to justify the switching costs associated with it. We as an ecosystem, not just IBM, that’s the hurdle we are working on clearing. We aren’t all the way there. If we were all the way there we would be at 20-30 percent market share of Linux on Power.

“Where we’re succeeding is delivering innovations that are showing the necessary level of differentiation. It can’t be 1.1X TCO. It’s got to be 1.5X or 2.0X to justify, ‘OK, I am going to move to another platform. I am going to port my applications to another platform. I am going to optimize them on that.’ That’s the hurdle we’re working on clearing,” says King.

Citing a 2016 Intersect360 special study on processor architectures, Snell says “When HPC users rated the importance of technical features on a five-point scale, the most important characteristic was memory bandwidth, followed by double-precision performance and memory latency. These are areas in which the Power architecture has an opportunity to gain. Furthermore, over half the HPC users responding indicated they would be using or evaluating Power/OpenPOWER

Intersect360 Processor Report

over the next few years. If IBM can effectively sell the benefits of Power to those evaluators, it stands a good chance to take a fair market share as a toehold in the HPC industry.”

King emphasizes a critical success element is this idea of building a complete ecosystem in which everyone benefits and the flexibility it offers. A good example, he says, is how the Tencent deal happened, starting with product design all the way to sales channel used.

“It was a system that was configured and manufactured by Supermicro at a cost point that made sense for Tencent and with that then becoming an IBM product. We then licensed or provided it as a product to reseller Inspur who then sold it to the customer because the customer’s procurement list only had Chinese companies,” says King.

“We couldn’t do that in the old model. The OpenPOWER model creates tons of flexibility for us through our partnerships. Now Inspur has decided they will develop their own OpenPOWER systems, initially for the China market, and then more globally for the broader the market as part of seeing the progress and seeing the interest from hyperscale clientele.”

China, of course, is a tricky geography to sell into at the moment, full of promise and market growth opportunities, but also closely controlled. China has worked hard to develop and expand its technology prowess generally and supercomputer capability specifically (See HPCwire article, US, China Vie for Supercomputing Supremacy).

King declined to comment on what effects, if any, the change in U.S. administrations will trigger. President-elect Trump’s overture to Taiwan and U.S. border tax talk seem likely to stir political and trade tensions. Currently, a big control point is China’s use of ‘local, secure, indigenous, and controllable technology’ rules. “The more that tightens up the harder it is for multinationals. The more the expectation is for the multi-nationals to provide their intellectual property to China. You’ve got to find the balance,” says King.

“The positive for us is it creates a very interesting door opener for Power, and ARM as well and alternative technologies. They are testing everything. But you have to be careful. Every major player, chip providers etc, is in China and everyone In China is trying to be the partner that’s got that one alternative. If we’re partnering with one company, then somebody else is going to partner with AMD, and somebody with ARM. China will continue to be a battleground for the next few years and I don’t know when or how it will end,” says King.

IBM Power S822LC for High Performance Computing

Leaving aside extended discussion of IBM’s multi-prong deep learning strategy as the wave of the future – that was the common theme among many technology suppliers at SC16 – it seems clear attacking the Linux market means a heavy emphasis on the wider enterprise. The convergence of HPC and HPDA is providing more opportunity for accelerated analytics says King, noting that one large retailer has deployed a Power system with a GPU-accelerated database application. “They will probably allow us to talk about them next year once they have got some numbers and results,” he says.

IBM announced earlier its partnership with Kinetica which describes its platform as “a distributed, in-memory database accelerated by GPUs that can simultaneously ingest, analyze, and visualize streaming data for truly real-time actionable intelligence. Kinetica leverages the power of many core devices (such as GPUs) to deliver results orders of magnitude faster than traditional databases on a fraction of the hardware” IBM says it will work accelerated DB vendors “as we see fit”.

IBM’s PowerAI solution (Minsky) has already been optimized for a number of the machine learning/deep learning frameworks – Theano, Caffee and Torch – with more expected. But don’t mistake the obvious emphasis on penetration of the enterprise as a lack of interest or commitment to the Top500 and leadership class machines, says King.

“We are heavily invested and focused in helping move down the path to exascale. So CORAL was a first step. There are other projects I can’t talk about now,” King says adding “We wouldn’t have won that in our traditional environment. It was the open architecture. It was the data-centric computing model. It was the partnership with NIVIDIA and Mellanox. All of that enabled us to win. That continues to be a strategy that we think those kinds of agencies find very attractive.”

All netted down, the table is set for success, say King and McCredie. Power-based products, technology innovations, channels, (a few) signature customers, expanding ecosystem, and – not least – a philosophy that puts a premium on independently-driven innovation by partners are all present.

IBM’s fire to succeed is undiminished they insist, though the rhetoric seems a little less strident. What’s needed now are sales. One more year seems perhaps too ambitious to turn that tide, but enough to provide a strong indicator.

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!

Researchers Scale COSMO Climate Code to 4888 GPUs on Piz Daint

October 17, 2017

Effective global climate simulation, sorely needed to anticipate and cope with global warming, has long been computationally challenging. Two of the major obstacles are the needed resolution and prolonged time to compute Read more…

By John Russell

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Cluster Competition coverage has come to its natural home: H Read more…

By Dan Olds

UCSD Web-based Tool Tracking CA Wildfires Generates 1.5M Views

October 16, 2017

Tracking the wildfires raging in northern CA is an unpleasant but necessary part of guiding efforts to fight the fires and safely evacuate affected residents. One such tool – Firemap – is a web-based tool developed b Read more…

By John Russell

HPE Extreme Performance Solutions

Transforming Genomic Analytics with HPC-Accelerated Insights

Advancements in the field of genomics are revolutionizing our understanding of human biology, rapidly accelerating the discovery and treatment of genetic diseases, and dramatically improving human health. Read more…

Exascale Imperative: New Movie from HPE Makes a Compelling Case

October 13, 2017

Why is pursuing exascale computing so important? In a new video – Hewlett Packard Enterprise: Eighteen Zeros – four HPE executives, a prominent national lab HPC researcher, and HPCwire managing editor Tiffany Trader Read more…

By John Russell

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Read more…

By Dan Olds

Intel Delivers 17-Qubit Quantum Chip to European Research Partner

October 10, 2017

On Tuesday, Intel delivered a 17-qubit superconducting test chip to research partner QuTech, the quantum research institute of Delft University of Technology (TU Delft) in the Netherlands. The announcement marks a major milestone in the 10-year, $50-million collaborative relationship with TU Delft and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. Read more…

By Tiffany Trader

Fujitsu Tapped to Build 37-Petaflops ABCI System for AIST

October 10, 2017

Fujitsu announced today it will build the long-planned AI Bridging Cloud Infrastructure (ABCI) which is set to become the fastest supercomputer system in Japan Read more…

By John Russell

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Intel Debuts Programmable Acceleration Card

October 5, 2017

With a view toward supporting complex, data-intensive applications, such as AI inference, video streaming analytics, database acceleration and genomics, Intel i Read more…

By Doug Black

OLCF’s 200 Petaflops Summit Machine Still Slated for 2018 Start-up

October 3, 2017

The Department of Energy’s planned 200 petaflops Summit computer, which is currently being installed at Oak Ridge Leadership Computing Facility, is on track t Read more…

By John Russell

US Exascale Program – Some Additional Clarity

September 28, 2017

The last time we left the Department of Energy’s exascale computing program in July, things were looking very positive. Both the U.S. House and Senate had pas Read more…

By Alex R. Larzelere

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Leading Solution Providers

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Cente Read more…

By Linda Barney

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