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IBM - Latest Questions

where have you long gone, IBM? | 000-817 Questions and Answers and Real test Questions

Summit

The company that constructed the world’s nos. 2 and three most powerful supercomputers, based on the latest Top500 ranking of such methods, is to all appearances backing far from the supercomputer systems company. IBM, whose Summit (at very wellRidge country wide Laboratory) and Sierra (at Lawrence Livermore national Laboratory) CORAL-1 methods set the international general for pre-exascale supercomputing, didn't win any of the three exascale contracts, and considering the fact that then IBM has apparently withdrawn from the HPC methods field.

This has been widely discussed in the HPC group for as a minimum the last 18 months. in fact, in accordance with one trade analyst, as lengthy ago as the annual ISC convention in Frankfurt four years in the past, he was greatly surprised when IBM instructed him the business was not interested in the HPC company per se, that they had been active in HPC as an entrée to the nascent AI market.

most effective reinforcing these impression changed into IBM’s announcement closing week of its break up into two entities, with its legacy IT infrastructure – the Managed Infrastructure services unit of its international expertise services division – fitting a new public business (“NewCo”), enabling IBM to pay attention to its hybrid cloud and AI increase method.

“Strategically, there’s a query of how IBM is asking at the high efficiency computing market in conventional,” spoke of Addison Snell, CEO of trade watcher Intersect360 research. “What we’ve in reality seen is a shift of priorities to center of attention on synthetic intelligence for definite and hybrid clouds. but there’s been little to no mention of high performance computing and even supercomputing at an intentional stage seeing that before even Summit and Sierra were put in. by the point these had been up and operating, if they use the note supercomputer in any respect it would be along with AI and AI supercomputer. It’s like they’ve been backing away from HPC as if it’s a dirty note that they didn’t want to follow to their company. Now, they’re definitely nevertheless naturally providing what they would believe to be excessive performance computing methods, exceptionally in some business markets (monetary functions, manufacturing, healthcare). but as a direct targeted market for his or her energy programs, they just haven’t been drawing near it.”

Sierra 

In final week’s spinoff announcement, nowhere do the phrases HPC or supercomputing seem. here's of a chunk with IBM’s many years-lengthy shift far from programs, including divestitures of its laptop and X86 server business units, in desire of utility and cloud, emphasized within the enterprise’s $34 billion purchase in 2019 of pink Hat, an acquisition spearheaded through then SVP of IBM Hybrid Cloud and now CEO Arvind Krishna.

“IBM is laser-concentrated on the $1 trillion hybrid cloud possibility,” he said. “customer buying wants for software and infrastructure services are diverging, while adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

where does that leave IBM and HPC? and how, for that be counted, does the IBM split healthy into different contemporary HPC M&A exercise, together with Nvidia’s acquisitions of excessive efficiency network seller Mellanox closing year and its deliberate acquisition of CPU design business Arm, together with the extra lately announced  buy of FPGA maker Xilinx by AMD – AMD, whose CPUs and GPUs will drive two of the exascale programs, Frontier and El Capitan, techniques that may be delivered by using HPE and 2018 acquiree Cray?

searching for a larger pattern, if a demo exists, they put these and different inquiries to a couple of HPC observers. A theme that emerged is that on the high conclusion of HPC, techniques have develop into so compute-intensive, so really good, complex and dear that they are increasingly less relevant and transferable to the greater volume mid-sized enterprise HPC market, on no account mind the mainstream statistics core server market. constructing a system that can bring, say, a quintillion (1018) calculations per 2nd requires technologies and capabilities now not necessary for a comparatively smaller cluster. Scaled-up supercomputing clusters don’t lessen, the argument goes, making extreme-scale HPC systems a nasty ROI proposition.

In stark contrast, the argument continues, stands the HPC add-ons company, a excessive-margin technology marketplace for CPUs, GPUs, high performance networks, excessive-capability HBM memory, high velocity interconnects and other apparatus used in supercomputing-class programs

Karl Freund, Senior Analyst, computing device researching & HPC at Moor Insights & approach, spoke of he’s inclined to trust this view, including that IBM isn't alone in its regard for the supercomputing market.

“fairly a lot every person’s deserted (HPC) above business, appropriate?” Freund stated. “I suggest, Lenovo and Dell have put up the respectable fight, and that they’ve built a profitable business on the backs of the of the commercial enterprise. however when you get above that the investments required are only out of reach, the hardware margins are squeezed.”

Snell stated Intel and Nvidia are both happy to compete in the HPC equipment market whereas in the main staying faraway from finished systems (however Intel as best on the Aurora exascale system and Nvidia’s DGX AI supercomputer line).

“there has been that style with each Intel and Nvidia attempting to catch extra of the (components) value flow of the techniques in ordinary,” Snell mentioned. “And remember, we’re coming from a cluster era, the early Beowulf clusters treated x86 processors as commodity accessories where Intel didn’t basically catch an excellent deal of the cost of the device basic. Intel has been expanding its value envelope as has Nvidia, so it’s extra of the cost of an entire system is going to the processor companies. by means of that I mean CPUs, accelerators, all the processing vendors, as neatly as the interconnect carriers. And now additionally you’d should include NVMe storage carriers, of which Intel is a leader once again. There’s much less margin available for the equipment issuer, your HPE, Dell or Lenovo.”

And IBM.

Freund, a former IBMer, noted IBM has wrestled with considerations around hardware vs. software for a long time, and now intelligent, hybrid cloud has coming into the strategic fray.

“The fundamental design of the (supercomputer) is for operating significant, synchronized workloads,” he observed. “And it’s expensive business. I suggest, I remember when i was at IBM doing POWER5, they had severe, prolonged discussions at the maximum level of the business is whether they should still simply abandon HPC then.”

within the view of business analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion research, IBM’s stream makes good sense and reflects the altering and growing position HPC and AI within public clouds.

“For IBM, it’s no longer an abandonment of HPC, it’s HPC in a different context,” Conway talked about. “Twenty p.c of all HPC jobs are actually run in third birthday party cloud environments, and the cloud services providers were rushing to get enhanced at HPC for two explanations. One, the HPC market is now is no longer a rounding error within the server market, it’s now big sufficient to move after even for massive agencies. It turned into a few $28 billion market in 2019…, so it’s a big ample market.

“however the different factor that’s very important,” Conway endured, “and it’s been mainly important in IBM’s view, is that already HPC is indispensable, it’s  at the forefront of AI for big rising use instances, like healthcare and automated riding and smart cities and cyber web of issues. in case you need to know what’s happening at the most advanced ranges that’s likely going to affect the mainstream AI market — which continues to be an early market — then seem to be to HPC. So it’s no accident that the cloud services providers are making a transition from hiring americans who know plenty about cloud computing and are trying to find out about HPC. Now, the CSPs are hiring HPC experts and educating them about cloud.”

Citing former Cray CTO Steve Scott’s circulate to Microsoft Azure as VP of Hardware architecture and former Cray VP Barry Bolding’s move to Amazon internet functions as director of HPC, Conway referred to “that’s very deliberate, as a result of so as to get to the subsequent stage of growth in HPC cloud computing they definitely have to be aware the HPC complications.”

And HPC in the cloud more and more potential AI, forming the impetus in the back of IBM’s cut up.

IBM’s perceived pulling faraway from supercomputer programs has implications for Nvidia, which has a turning out to be presence on the Top500 list and used it high-velocity NVLink interconnect to tie its GPUs with huge Blue CPUs in Summit and Sierra, amongst different IBM HPC systems. Its GPUs are additionally built-in with CPUs in servers from Dell, Lenovo, HPE, Supermicro and different methods vendors competing in the high-end statistics center, business HPC and AI server markets.

“most of the heavy lifting is executed by using GPUs, if you study Summit and Sierra, it’s estimated that ninety five p.c of the FLOPS of those methods are delivered via the GPUs. That’s where all the margin’s long gone. I mean, Nvidia doesn’t drop their fees for any one. They’ve saved their expenditures pretty excessive, their margins very in shape.”

So for Nvidia, the less-than-hoped-for market traction of the IBM power GPU-CPU integration poses an issue, notably, Freund pointed out, now that IBM “appears to be less and less serious about HPC.”

“Nvidia needs a excessive-velocity hyperlink to a CPU,” Freund mentioned. “They don’t have that aside from with IBM. So if IBM is considered as now not aggressive, or no longer critical, or perhaps is not inclined to put money into HPC, then that forces Nvidia to do whatever thing like go buy Arm. They need to have a CPU in the future.”

basically, it’s the mixture of AMD’s EPYC CPUs and Radeo GPUs will power the HPE Cray Frontier and El Capitan exascale programs.

“You understand, back within the days of Opteron (the AMD statistics middle server CPU launched in 2003 and discontinued in 2017), every person pointed out they desired to integrate every thing onto a CPU cache coherent interconnect, that turned into going to be the longer term,” Freund said. “smartly, it by no means in fact happened. I believe this time it's going to take place. I believe that’s what drove AMD’s success in subsequent-generation exascales. So what does Nvidia do? They’ve determined to construct an information middle-classification, Arm-based mostly CPU. They didn’t need to buy Arm to do it but that’s the manner they decided to do it.”

As IBM embraces AI and hybrid cloud whereas spinning off its legacy IT enterprise, Snell commented that the business has taken an additional step in shedding what he spoke of is an old-fashioned view of IBM as a mainstream expertise synthesizer – whereas also noting that large Blue may also were too imaginative for its personal first rate.

“I provide IBM a lot of credit for being visionary,” Snell referred to, “and never handiest in high performance computing however in commercial enterprise computing in widely wide-spread. bear in mind that IBM was on analytics and ‘Let’s build a wiser Planet’ 5 years earlier than large facts definitely took off during this space. and that they had Watson competing on ‘Jeopardy’ 5 years before AI basically took off in this space. They have been ahead on hybrid clouds. They had been ahead on flash, they’re ahead on quantum today. They’ve been out in front of every principal commercial enterprise vogue, but they’ve struggled by the point any of it comes to market. It’s as in the event that they’ve been greater at selling what they'll have 10 years from now than what they actually have today.”

little question IBM and Krishna view the business’s strategic shift to hybrid cloud and AI as a direction correction to starting to be, excessive-margin markets in an effort to make first rate use of large Blue’s R&D prowess.

“I suppose IBM (has been) so focused on things which are really transformative, the home run, on the basically revolutionary play in commercial enterprise, that it draws them far from what nearly all of consumers are able to implement nowadays,” Snell referred to. “in case you’re now not a dreamer who’s ready to in fact shake things up and do issues the manner of the long run, it’s like IBM hasn’t been ready to seek advice from you about something incremental… I think they’ve been too a ways in front. I suggest, they’ve been attempting to sell quantum harder than they’re trying to promote HPC right now, and quantum simply isn’t a competent market.”


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