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IBM Connections Latest Questions

the place have you ever long gone, IBM? | 000-M62 braindumps and real questions

Summit

The enterprise that developed the world’s nos. 2 and 3 strongest supercomputers, in keeping with the latest Top500 ranking of such programs, is to all appearances backing far from the supercomputer techniques company. IBM, whose Summit (at o.k.Ridge country wide Laboratory) and Sierra (at Lawrence Livermore country wide Laboratory) CORAL-1 systems set the global normal for pre-exascale supercomputing, did not win any of the three exascale contracts, and when you consider that then IBM has reputedly withdrawn from the HPC methods box.

This has been greatly mentioned inside the HPC neighborhood for at the least the final 18 months. in fact, according to one business analyst, as long ago as the annual ISC conference in Frankfurt 4 years ago, he changed into stunned when IBM told him the business became no longer attracted to the HPC company per se, that they had been lively in HPC as an entrée to the nascent AI market.

simplest reinforcing these impression became IBM’s announcement remaining week of its split into two entities, with its legacy IT infrastructure – the Managed Infrastructure services unit of its international technology features division – becoming a new public enterprise (“NewCo”), allowing IBM to concentrate on its hybrid cloud and AI increase method.

“Strategically, there’s a question of how IBM is asking at the high efficiency computing market in prevalent,” 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 artificial intelligence for certain and hybrid clouds. however there’s been little to no point out of high efficiency computing and even supercomputing at an intentional level in view that earlier than even Summit and Sierra were installed. by the time these had been up and running, if they use the observe supercomputer in any respect it might be along side AI and AI supercomputer. It’s like they’ve been backing far from HPC as if it’s a unclean notice that they didn’t wish to apply to their enterprise. Now, they’re certainly nevertheless certainly providing what they might trust to be high performance computing techniques, mainly in some industrial markets (financial features, manufacturing, healthcare). however as an immediate centered market for his or her power methods, they just haven’t been coming near it.”

Sierra 

In last week’s spinoff announcement, nowhere do the terms HPC or supercomputing appear. here's of a piece with IBM’s a long time-lengthy shift away from techniques, including divestitures of its computing device and X86 server company gadgets, in prefer of utility and cloud, emphasised within the company’s $34 billion buy in 2019 of crimson 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 opportunity,” he pointed out. “client buying wants for application and infrastructure services are diverging, while adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

where does that depart IBM and HPC? and how, for that rely, does the IBM break up healthy into different exact HPC M&A endeavor, including Nvidia’s acquisitions of high performance network seller Mellanox last yr and its deliberate acquisition of CPU design enterprise Arm, together with the greater recently introduced  purchase of FPGA maker Xilinx by using AMD – AMD, whose CPUs and GPUs will power two of the exascale programs, Frontier and El Capitan, programs that will be delivered through HPE and 2018 acquiree Cray?

in search of a bigger sample, if a pattern exists, they put these and other questions to a number of HPC observers. A theme that emerged is that at the high conclusion of HPC, techniques have turn into so compute-intensive, so specialized, complicated and costly that they're increasingly much less critical and transferable to the greater volume mid-sized business HPC market, not ever intellect the mainstream statistics core server market. building a device that can carry, say, a quintillion (1018) calculations per second requires technologies and capabilities not mandatory for a relatively smaller cluster. Scaled-up supercomputing clusters don’t minimize, the argument goes, making intense-scale HPC techniques a bad ROI proposition.

In stark distinction, the argument continues, stands the HPC accessories enterprise, a excessive-margin technology market for CPUs, GPUs, excessive performance networks, high-capability HBM memory, excessive velocity interconnects and other gear used in supercomputing-class systems

Karl Freund, Senior Analyst, computing device discovering & HPC at Moor Insights & method, stated he’s inclined to accept as true with this view, adding that IBM isn't on my own in its regard for the supercomputing market.

“relatively plenty each person’s deserted (HPC) above business, correct?” Freund referred to. “I imply, Lenovo and Dell have put up the first rate fight, and they’ve constructed a ecocnomic company on the backs of the of the business. however when you get above that the investments required are just out of reach, the hardware margins are squeezed.”

Snell spoke of Intel and Nvidia are both happy to compete within the HPC gear market while ordinarily staying far from comprehensive methods (in spite of the fact that Intel as leading on the Aurora exascale equipment and Nvidia’s DGX AI supercomputer line).

“there has been that style with both Intel and Nvidia trying to capture more of the (components) value flow of the systems in widespread,” Snell noted. “And bear in mind, we’re coming from a cluster era, the early Beowulf clusters treated x86 processors as commodity components the place Intel didn’t basically catch an outstanding deal of the price of the equipment universal. Intel has been increasing its value envelope as has Nvidia, so it’s extra of the value of an entire equipment is going to the processor carriers. via that I imply CPUs, accelerators, all the processing vendors, as neatly as the interconnect vendors. And now additionally you’d have to consist of NVMe storage vendors, of which Intel is a frontrunner again. There’s much less margin available for the equipment company, your HPE, Dell or Lenovo.”

And IBM.

Freund, a former IBMer, pointed out IBM has wrestled with issues around hardware vs. utility for decades, and now intelligent, hybrid cloud has entering the strategic fray.

“The fundamental design of the (supercomputer) is for running big, synchronized workloads,” he said. “And it’s costly business. I mean, I remember when i used to be at IBM doing POWER5, they had severe, prolonged discussions at the maximum level of the business is whether or not they may still just abandon HPC then.”

in the view of industry analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion research, IBM’s stream makes decent sense and reflects the altering and growing function HPC and AI inside public clouds.

“For IBM, it’s now not an abandonment of HPC, it’s HPC in a special context,” Conway talked about. “Twenty percent of all HPC jobs are now run in third birthday party cloud environments, and the cloud capabilities suppliers were rushing to get better at HPC for 2 explanations. One, the HPC market is now is not any longer a rounding error within the server market, it’s now big enough to move after even for tremendous organizations. It changed into a few $28 billion market in 2019…, so it’s a big enough market.

“but the different thing that’s very crucial,” Conway persisted, “and it’s been above all crucial in IBM’s view, is that already HPC is essential, it’s  at the forefront of AI for big rising use situations, like healthcare and automated driving and smart cities and information superhighway of issues. in case you need to recognize what’s occurring at the most superior levels that’s probably going to affect the mainstream AI market — which is still an early market — then look to HPC. So it’s no accident that the cloud features providers are making a transition from hiring individuals who comprehend lots about cloud computing and try to find out about HPC. Now, the CSPs are hiring HPC experts and instructing them about cloud.”

Citing former Cray CTO Steve Scott’s movement to Microsoft Azure as VP of Hardware architecture and former Cray VP Barry Bolding’s stream to Amazon net functions as director of HPC, Conway said “that’s very deliberate, as a result of to be able to get to the next stage of increase in HPC cloud computing they definitely ought to remember the HPC issues.”

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

IBM’s perceived pulling far from supercomputer methods has implications for Nvidia, which has a transforming into presence on the Top500 listing and used it high-pace NVLink interconnect to tie its GPUs with large Blue CPUs in Summit and Sierra, among different IBM HPC systems. Its GPUs are also integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and different systems providers competing within the excessive-end information core, business HPC and AI server markets.

“many of the heavy lifting is executed with the aid of GPUs, in case you look at Summit and Sierra, it’s estimated that 95 % of the FLOPS of these programs are delivered by means of the GPUs. That’s the place the entire margin’s long gone. I suggest, Nvidia doesn’t drop their fees for anyone. They’ve stored their prices incredibly excessive, their margins very suit.”

So for Nvidia, the less-than-hoped-for market traction of the IBM vigor GPU-CPU integration poses a problem, peculiarly, Freund observed, now that IBM “appears to be much less and less all in favour of HPC.”

“Nvidia needs a excessive-velocity link to a CPU,” Freund said. “They don’t have that apart from with IBM. So if IBM is considered as now not aggressive, or not severe, or in all probability isn't willing to put money into HPC, then that forces Nvidia to do something like go buy Arm. They have to have a CPU in the future.”

really, it’s the aggregate of AMD’s EPYC CPUs and Radeo GPUs will vigor the HPE Cray Frontier and El Capitan exascale techniques.

“You comprehend, again in the days of Opteron (the AMD information center server CPU launched in 2003 and discontinued in 2017), each person noted they wanted to combine everything onto a CPU cache coherent interconnect, that become going to be the long run,” Freund mentioned. “well, it not ever in fact took place. I believe this time it will happen. I feel that’s what drove AMD’s success in next-generation exascales. So what does Nvidia do? They’ve determined to build an information center-category, Arm-primarily based CPU. They didn’t need to purchase Arm to do it but that’s the style they decided to do it.”

As IBM embraces AI and hybrid cloud whereas spinning off its legacy IT business, Snell commented that the business has taken a further step in shedding what he pointed out is an outdated view of IBM as a mainstream know-how synthesizer – while additionally noting that massive Blue may have been too ingenious for its personal good.

“I supply IBM loads of credit for being visionary,” Snell stated, “and not most effective in high performance computing however in commercial enterprise computing in commonplace. bear in mind that IBM became on analytics and ‘Let’s construct a smarter Planet’ 5 years before huge statistics actually took off in this house. and they had Watson competing on ‘Jeopardy’ five years earlier than AI in fact took off in this house. They were forward on hybrid clouds. They have been ahead on flash, they’re forward on quantum today. They’ve been out in front of every essential commercial enterprise style, however they’ve struggled by the time any of it involves market. It’s as in the event that they’ve been enhanced at selling what they will have 10 years from now than what they even have these days.”

little doubt IBM and Krishna view the business’s strategic shift to hybrid cloud and AI as a route correction to becoming, high-margin markets in order to make decent use of large Blue’s R&D prowess.

“I believe IBM (has been) so focused on things which are basically transformative, the home run, on the basically modern play in enterprise, that it draws them faraway from what nearly all of consumers are able to put into effect nowadays,” Snell stated. “if you’re now not a dreamer who’s able to basically shake issues up and do things the style of the longer term, it’s like IBM hasn’t been able to consult with you about whatever thing incremental… I believe they’ve been too a long way in entrance. I mean, they’ve been trying to promote quantum tougher than they’re trying to promote HPC presently, and quantum just isn’t a able market.”


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