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where have you gone, IBM? | 000-868 PDF get and Practice Test

Summit

The business that constructed the realm’s nos. 2 and three most powerful supercomputers, in line with the latest Top500 rating of such techniques, is to all appearances backing far from the supercomputer methods company. IBM, whose Summit (at very wellRidge country wide Laboratory) and Sierra (at Lawrence Livermore countrywide Laboratory) CORAL-1 systems set the global common for pre-exascale supercomputing, did not win any of the three exascale contracts, and in view that then IBM has reputedly withdrawn from the HPC programs field.

This has been widely discussed in the HPC community for as a minimum the ultimate 18 months. actually, in keeping with one industry analyst, as lengthy ago because the annual ISC conference in Frankfurt four years in the past, he changed into greatly surprised when IBM told him the business was not interested in the HPC enterprise per se, that they were energetic in HPC as an entrée to the nascent AI market.

most effective reinforcing these impression turned into IBM’s announcement final week of its split into two entities, with its legacy IT infrastructure – the Managed Infrastructure capabilities unit of its global know-how features division – becoming a new public enterprise (“NewCo”), permitting IBM to pay attention to its hybrid cloud and AI boom strategy.

“Strategically, there’s a question of how IBM is looking on the high efficiency computing market in regularly occurring,” noted Addison Snell, CEO of business watcher Intersect360 analysis. “What we’ve in fact seen is a shift of priorities to center of attention on artificial intelligence for definite and hybrid clouds. however there’s been little to no point out of high performance computing and even supercomputing at an intentional stage since before even Summit and Sierra had been installed. by the time these were up and working, if they use the word supercomputer in any respect it could be together with AI and AI supercomputer. It’s like they’ve been backing faraway from HPC as if it’s a dirty notice that they didn’t need to apply to their company. Now, they’re certainly nonetheless naturally imparting what we'd trust to be high performance computing systems, specially in some industrial markets (financial capabilities, manufacturing, healthcare). but as a direct centered market for their energy techniques, they just haven’t been approaching it.”

Sierra 

In final week’s spinoff announcement, nowhere do the phrases HPC or supercomputing appear. here is of a piece with IBM’s decades-long shift far from programs, together with divestitures of its pc and X86 server enterprise contraptions, in want of software and cloud, emphasized in the business’s $34 billion purchase in 2019 of red Hat, an acquisition spearheaded by then SVP of IBM Hybrid Cloud and now CEO Arvind Krishna.

“IBM is laser-focused on the $1 trillion hybrid cloud opportunity,” he stated. “client buying wants for software and infrastructure services are diverging, whereas adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

where does that go away IBM and HPC? and how, for that count, does the IBM cut up healthy into other fresh HPC M&A pastime, including Nvidia’s acquisitions of excessive performance community vendor Mellanox remaining yr and its deliberate acquisition of CPU design business Arm, along with the more lately introduced  buy of FPGA maker Xilinx by AMD – AMD, whose CPUs and GPUs will power two of the exascale programs, Frontier and El Capitan, systems that might be delivered by means of HPE and 2018 acquiree Cray?

in quest of a bigger sample, if a trial exists, they put these and different inquiries to a number of HPC observers. A theme that emerged is that on the high conclusion of HPC, systems have become so compute-intensive, so specialized, complicated and expensive that they are increasingly much less vital and transferable to the better extent mid-sized enterprise HPC market, in no way mind the mainstream statistics core server market. constructing a gadget that may convey, say, a quintillion (1018) calculations per second requires applied sciences and capabilities no longer necessary for a relatively smaller cluster. Scaled-up supercomputing clusters don’t decrease, the argument goes, making excessive-scale HPC techniques a foul ROI proposition.

In stark distinction, the argument continues, stands the HPC components enterprise, a excessive-margin technology marketplace for CPUs, GPUs, excessive efficiency networks, excessive-capacity HBM reminiscence, excessive speed interconnects and different gear utilized in supercomputing-class techniques

Karl Freund, Senior Analyst, laptop researching & HPC at Moor Insights & method, noted he’s inclined to trust this view, adding that IBM isn't alone in its regard for the supercomputing market.

“fairly a whole lot all and sundry’s abandoned (HPC) above commercial enterprise, appropriate?” Freund observed. “I imply, Lenovo and Dell have put up the decent combat, and they’ve built a ecocnomic business on the backs of the of the business. however once you get above that the investments required are just out of reach, the hardware margins are squeezed.”

Snell mentioned Intel and Nvidia are each happy to compete within the HPC apparatus market whereas mainly staying away from finished systems (besides the fact that Intel as major on the Aurora exascale device and Nvidia’s DGX AI supercomputer line).

“there was that trend with both Intel and Nvidia attempting to trap greater of the (components) price move of the techniques in familiar,” Snell referred to. “And be aware, we’re coming from a cluster era, the early Beowulf clusters handled x86 processors as commodity add-ons the place Intel didn’t in reality capture a superb deal of the value of the system ordinary. Intel has been expanding its cost envelope as has Nvidia, so it’s greater of the value of a complete system is going to the processor companies. via that I imply CPUs, accelerators, all of the processing vendors, as neatly because the interconnect companies. And now also you’d have to include NVMe storage vendors, of which Intel is a frontrunner once again. There’s much less margin accessible for the device issuer, your HPE, Dell or Lenovo.”

And IBM.

Freund, a former IBMer, stated IBM has wrestled with considerations around hardware vs. software for many years, and now clever, hybrid cloud has coming into the strategic fray.

“The primary design of the (supercomputer) is for operating significant, synchronized workloads,” he observed. “And it’s expensive business. I mean, I be aware when i used to be at IBM doing POWER5, they had serious, prolonged discussions at the maximum stage of the company is whether they should simply abandon HPC then.”

in the view of industry analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion analysis, IBM’s move makes first rate experience and reflects the changing and becoming role HPC and AI within public clouds.

“For IBM, it’s not an abandonment of HPC, it’s HPC in a different context,” Conway stated. “Twenty percent of all HPC jobs are actually run in third birthday celebration cloud environments, and the cloud capabilities suppliers had been dashing to get greater at HPC for 2 reasons. One, the HPC market is now is no longer a rounding error in the server market, it’s now big satisfactory to move after even for huge corporations. It become a couple of $28 billion market in 2019…, so it’s a huge ample market.

“but the different element that’s very crucial,” Conway continued, “and it’s been certainly crucial in IBM’s view, is that already HPC is imperative, it’s  at the forefront of AI for large emerging use instances, like healthcare and automatic using and smart cities and information superhighway of things. if you need to understand what’s going on at the most superior degrees that’s doubtless going to have an effect on the mainstream AI market — which is still an early market — then seem to be to HPC. So it’s no accident that the cloud services suppliers are making a transition from hiring people who comprehend plenty about cloud computing and try to learn about HPC. Now, the CSPs are hiring HPC consultants and instructing 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 web services as director of HPC, Conway talked about “that’s very deliberate, because with a purpose to get to the subsequent stage of boom in HPC cloud computing they in reality have to keep in mind the HPC problems.”

And HPC within the cloud increasingly potential AI, forming the impetus in the back of IBM’s break up.

IBM’s perceived pulling away from supercomputer systems has implications for Nvidia, which has a transforming into presence on the Top500 listing and used it excessive-speed NVLink interconnect to tie its GPUs with big Blue CPUs in Summit and Sierra, among different IBM HPC techniques. Its GPUs are also integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and different programs vendors competing in the excessive-conclusion facts center, business HPC and AI server markets.

“many of the heavy lifting is done by way of GPUs, in case you analyze Summit and Sierra, it’s estimated that ninety five % of the FLOPS of these programs are delivered by the GPUs. That’s the place all of the margin’s long gone. I imply, Nvidia doesn’t drop their expenses for any one. They’ve stored their fees fairly high, their margins very in shape.”

So for Nvidia, the much less-than-hoped-for market traction of the IBM vigor GPU-CPU integration poses a problem, in particular, chum spoke of, now that IBM “looks to be much less and fewer serious about HPC.”

“Nvidia wants a excessive-velocity hyperlink to a CPU,” Freund stated. “They don’t have that except for with IBM. So if IBM is seen as now not aggressive, or now not serious, or in all probability is not willing to invest in HPC, then that forces Nvidia to do something like go purchase Arm. They should have a CPU sooner or later.”

in fact, it’s the combination of AMD’s EPYC CPUs and Radeo GPUs will energy the HPE Cray Frontier and El Capitan exascale techniques.

“You recognize, returned within the days of Opteron (the AMD statistics center server CPU launched in 2003 and discontinued in 2017), everybody talked about they desired to integrate every thing onto a CPU cache coherent interconnect, that become going to be the future,” Freund stated. “well, it by no means definitely came about. I think this time it'll occur. I believe that’s what drove AMD’s success in subsequent-generation exascales. So what does Nvidia do? They’ve determined to build a data middle-class, Arm-based mostly CPU. They didn’t should purchase Arm to do it however 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 company has taken one more step in shedding what he spoke of is an out of date view of IBM as a mainstream technology synthesizer – while also noting that huge Blue may had been too ingenious for its own good.

“I provide IBM lots of credit score for being visionary,” Snell spoke of, “and not handiest in excessive performance computing however in enterprise computing in regular. remember that IBM changed into on analytics and ‘Let’s build a wiser Planet’ five years before massive facts in reality took off during this space. and they had Watson competing on ‘Jeopardy’ 5 years before AI really took off during this space. They have been forward on hybrid clouds. They have been forward on flash, they’re forward on quantum these days. They’ve been out in entrance of each major commercial enterprise trend, however they’ve struggled by the time any of it involves market. It’s as in the event that they’ve been stronger at selling what they are going to have 10 years from now than what they actually have these days.”

no doubt IBM and Krishna view the company’s strategic shift to hybrid cloud and AI as a direction correction to growing, high-margin markets with a view to make first rate use of big Blue’s R&D prowess.

“I consider IBM (has been) so focused on issues that are definitely transformative, the domestic run, on the in reality modern play in enterprise, that it attracts them away from what the majority of buyers are able to put into effect nowadays,” Snell referred to. “if you’re now not a dreamer who’s able to in fact shake things up and do issues the way of the long run, it’s like IBM hasn’t been able to talk to you about something incremental… I suppose they’ve been too a ways in front. I imply, they’ve been trying to sell quantum harder than they’re attempting to promote HPC presently, and quantum just isn’t a capable market.”


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