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the place have you long gone, IBM? | C9010-250 Latest subjects and test Questions


The enterprise that developed the realm’s nos. 2 and 3 strongest supercomputers, in response to the existing Top500 ranking of such systems, is to all appearances backing faraway from the supercomputer programs enterprise. IBM, whose Summit (at o.k.Ridge countrywide Laboratory) and Sierra (at Lawrence Livermore national Laboratory) CORAL-1 methods set the global ordinary for pre-exascale supercomputing, failed to win any of the three exascale contracts, and because then IBM has seemingly withdrawn from the HPC programs box.

This has been broadly mentioned within the HPC community for at the least the remaining 18 months. actually, according to one industry analyst, as long ago because the annual ISC conference in Frankfurt 4 years in the past, he become stunned when IBM instructed him the business turned into now not drawn to the HPC enterprise per se, that they had been active in HPC as an entrée to the nascent AI market.

best reinforcing these impact turned into IBM’s announcement final week of its break up into two entities, with its legacy IT infrastructure – the Managed Infrastructure services unit of its international expertise functions division – fitting a new public enterprise (“NewCo”), allowing IBM to be aware of its hybrid cloud and AI boom method.

“Strategically, there’s a question of how IBM is looking at the excessive efficiency computing market in established,” mentioned Addison Snell, CEO of trade watcher Intersect360 research. “What we’ve definitely seen is a shift of priorities to focus on synthetic intelligence for definite and hybrid clouds. however there’s been little to no mention of high performance computing or even supercomputing at an intentional level due to the fact earlier than even Summit and Sierra have been installed. by the time these had been up and working, if they use the observe supercomputer at all it would be together with AI and AI supercomputer. It’s like they’ve been backing far from HPC as if it’s a unclean word that they didn’t wish to follow to their company. Now, they’re certainly nonetheless certainly offering what we'd trust to be excessive performance computing techniques, particularly in some commercial markets (fiscal services, manufacturing, healthcare). but as a direct targeted market for their energy programs, they simply haven’t been approaching it.”


In final week’s spinoff announcement, nowhere do the terms HPC or supercomputing appear. this is of a chunk with IBM’s many years-lengthy shift away from techniques, together with divestitures of its laptop and X86 server company devices, in desire of application and cloud, emphasised in the enterprise’s $34 billion purchase in 2019 of pink Hat, an acquisition spearheaded with the aid of then SVP of IBM Hybrid Cloud and now CEO Arvind Krishna.

“IBM is laser-focused on the $1 trillion hybrid cloud possibility,” he spoke of. “client buying needs for software and infrastructure services are diverging, while adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

the place does that depart IBM and HPC? and the way, for that matter, does the IBM cut up fit into other latest HPC M&A activity, including Nvidia’s acquisitions of high efficiency network vendor Mellanox last yr and its planned acquisition of CPU design business Arm, together with the extra currently introduced  purchase of FPGA maker Xilinx through AMD – AMD, whose CPUs and GPUs will power two of the exascale methods, Frontier and El Capitan, programs that should be delivered with the aid of HPE and 2018 acquiree Cray?

looking for a larger sample, if a pattern exists, they put these and other inquiries to a couple of HPC observers. A theme that emerged is that at the excessive conclusion of HPC, methods have develop into so compute-intensive, so specialized, advanced and dear that they are increasingly much less vital and transferable to the greater volume mid-sized commercial enterprise HPC market, by no means mind the mainstream statistics middle server market. constructing a equipment that may deliver, say, a quintillion (1018) calculations per 2d requires technologies and capabilities now not crucial for a comparatively smaller cluster. Scaled-up supercomputing clusters don’t cut down, the argument goes, making intense-scale HPC techniques a nasty ROI proposition.

In stark distinction, the argument continues, stands the HPC accessories company, a excessive-margin know-how marketplace for CPUs, GPUs, excessive efficiency networks, excessive-ability HBM reminiscence, excessive speed interconnects and other equipment utilized in supercomputing-category methods

Karl Freund, Senior Analyst, computing device learning & HPC at Moor Insights & strategy, talked about he’s inclined to trust this view, adding that IBM isn't alone in its regard for the supercomputing market.

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

Snell said Intel and Nvidia are both chuffed to compete within the HPC apparatus market while more often than not staying far from comprehensive techniques (although Intel as leading on the Aurora exascale system and Nvidia’s DGX AI supercomputer line).

“there has been that trend with each Intel and Nvidia trying to catch more of the (accessories) price move of the methods in well-known,” Snell said. “And bear in mind, we’re coming from a cluster period, the early Beowulf clusters treated x86 processors as commodity accessories where Intel didn’t definitely capture a good deal of the cost of the equipment overall. Intel has been increasing its cost envelope as has Nvidia, so it’s more of the cost of a complete device goes to the processor companies. by way of that I suggest CPUs, accelerators, the entire processing providers, as well because the interconnect providers. And now also you’d should encompass NVMe storage vendors, of which Intel is a frontrunner once again. There’s much less margin purchasable for the system issuer, your HPE, Dell or Lenovo.”

And IBM.

Freund, a former IBMer, talked about IBM has wrestled with issues around hardware vs. software for many years, and now intelligent, hybrid cloud has getting into the strategic fray.

“The primary design of the (supercomputer) is for running gigantic, synchronized workloads,” he spoke of. “And it’s high priced enterprise. I imply, I remember when i was at IBM doing POWER5, they had serious, prolonged discussions at the highest level of the company is whether they may still simply abandon HPC then.”

in the view of industry analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion research, IBM’s circulation makes first rate feel and displays the altering and growing function HPC and AI within public clouds.

“For IBM, it’s not an abandonment of HPC, it’s HPC in a different context,” Conway observed. “Twenty p.c of all HPC jobs at the moment are run in third party cloud environments, and the cloud functions providers had been rushing to get stronger at HPC for 2 motives. One, the HPC market is now isn't any longer a rounding error in the server market, it’s now massive sufficient to go after even for enormous companies. It become a couple of $28 billion market in 2019…, so it’s a huge sufficient market.

“however the other factor that’s very vital,” Conway persisted, “and it’s been notably essential in IBM’s view, is that already HPC is fundamental, it’s  on the forefront of AI for large emerging use cases, like healthcare and automatic riding and sensible cities and web of issues. if you need to comprehend what’s happening at the most superior degrees that’s likely going to have an effect on the mainstream AI market — which is still an early market — then appear to HPC. So it’s no accident that the cloud services providers are making a transition from hiring americans who understand a lot about cloud computing and are trying to study HPC. Now, the CSPs are hiring HPC consultants and educating them about cloud.”

Citing former Cray CTO Steve Scott’s move to Microsoft Azure as VP of Hardware architecture and former Cray VP Barry Bolding’s circulate to Amazon net features as director of HPC, Conway pointed out “that’s very deliberate, as a result of so as to get to the next stage of boom in HPC cloud computing they basically have to have in mind the HPC complications.”

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

IBM’s perceived pulling faraway from supercomputer techniques has implications for Nvidia, which has a growing presence on the Top500 listing and used it excessive-velocity NVLink interconnect to tie its GPUs with big Blue CPUs in Summit and Sierra, amongst different IBM HPC methods. Its GPUs are additionally integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and different techniques companies competing in the excessive-conclusion information core, commercial enterprise HPC and AI server markets.

“most of the heavy lifting is done by means of GPUs, in case you analyze Summit and Sierra, it’s estimated that ninety five p.c of the FLOPS of these systems are delivered with the aid of the GPUs. That’s where the entire margin’s gone. I suggest, Nvidia doesn’t drop their prices for anybody. They’ve kept their fees surprisingly high, their margins very fit.”

So for Nvidia, the less-than-hoped-for market traction of the IBM energy GPU-CPU integration poses an issue, exceptionally, Freund mentioned, now that IBM “seems to be much less and fewer enthusiastic about HPC.”

“Nvidia wants a high-pace link to a CPU,” Freund talked about. “They don’t have that aside from with IBM. So if IBM is viewed as now not aggressive, or now not critical, or in all probability isn't willing to invest in HPC, then that forces Nvidia to do anything like go purchase Arm. They need to have a CPU in the future.”

in reality, it’s the mixture of AMD’s EPYC CPUs and Radeo GPUs will vigour the HPE Cray Frontier and El Capitan exascale techniques.

“You comprehend, lower back within the days of Opteron (the AMD facts center server CPU launched in 2003 and discontinued in 2017), everybody said they wanted to combine every thing onto a CPU cache coherent interconnect, that became going to be the long run,” Freund referred to. “smartly, it on no account definitely happened. I feel this time it is going to ensue. I consider that’s what drove AMD’s success in next-generation exascales. So what does Nvidia do? They’ve determined to construct an information center-classification, Arm-based mostly CPU. They didn’t have to purchase Arm to do it but that’s the way they determined to do it.”

As IBM embraces AI and hybrid cloud whereas spinning off its legacy IT enterprise, Snell commented that the business has taken one other step in shedding what he mentioned is an old-fashioned view of IBM as a mainstream technology synthesizer – whereas additionally noting that massive Blue may were too resourceful for its personal good.

“I supply IBM lots of credit for being visionary,” Snell pointed out, “and not best in excessive efficiency computing but in commercial enterprise computing in universal. bear in mind that IBM changed into on analytics and ‘Let’s construct a better Planet’ 5 years before massive information truly took off in this area. and that they had Watson competing on ‘Jeopardy’ five years earlier than AI in reality took off during this space. They have been ahead on hybrid clouds. They were forward on flash, they’re forward on quantum these days. They’ve been out in front of each fundamental enterprise fashion, however they’ve struggled by the time any of it involves market. It’s as if they’ve been superior at promoting what they're going to have 10 years from now than what they actually have nowadays.”

little question IBM and Krishna view the business’s strategic shift to hybrid cloud and AI as a course correction to growing to be, excessive-margin markets so that it will make respectable use of massive Blue’s R&D prowess.

“I think IBM (has been) so concentrated on things which are basically transformative, the domestic run, on the basically innovative play in commercial enterprise, that it attracts them faraway from what the majority of patrons are ready to enforce today,” Snell said. “in case you’re no longer a dreamer who’s able to in reality shake issues up and do issues the style of the future, it’s like IBM hasn’t been ready to seek advice from you about some thing incremental… I suppose they’ve been too far in front. I imply, they’ve been making an attempt to sell quantum more durable than they’re trying to promote HPC presently, and quantum simply isn’t a competent market.”

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