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IBM V6- Latest Questions

the place have you gone, IBM? | C2170-008 test Braindumps and PDF Questions

Summit

The company that built the area’s nos. 2 and three strongest supercomputers, according to the latest Top500 ranking of such systems, is to all appearances backing far from the supercomputer systems enterprise. IBM, whose Summit (at very wellRidge country wide Laboratory) and Sierra (at Lawrence Livermore countrywide Laboratory) CORAL-1 systems set the global commonplace for pre-exascale supercomputing, didn't win any of the three exascale contracts, and in view that then IBM has apparently withdrawn from the HPC techniques field.

This has been largely discussed in the HPC community for at the least the last 18 months. in reality, in response to one business analyst, as long in the past because the annual ISC conference in Frankfurt 4 years ago, he turned into bowled over when IBM instructed him the company become now not interested in the HPC company per se, that they have been energetic in HPC as an entrée to the nascent AI market.

simplest reinforcing these affect turned into IBM’s announcement remaining week of its cut up into two entities, with its legacy IT infrastructure – the Managed Infrastructure capabilities unit of its international expertise features division – fitting a new public enterprise (“NewCo”), enabling IBM to concentrate on its hybrid cloud and AI boom approach.

“Strategically, there’s a question of how IBM is asking on the excessive performance computing market in general,” stated Addison Snell, CEO of trade watcher Intersect360 analysis. “What we’ve actually seen is a shift of priorities to focus on artificial intelligence for certain and hybrid clouds. but there’s been little to no mention of high efficiency computing or even supercomputing at an intentional degree considering the fact that before even Summit and Sierra had been installed. by the time those were up and working, if they use the word supercomputer at all it could be in conjunction with AI and AI supercomputer. It’s like they’ve been backing far from HPC as if it’s a dirty observe that they didn’t wish to observe to their company. Now, they’re actually still naturally imparting what they would accept as true with to be excessive performance computing techniques, in particular in some industrial markets (monetary services, manufacturing, healthcare). but as a right away targeted market for his or her vigor programs, they simply haven’t been approaching it.”

Sierra 

In last week’s spinoff announcement, nowhere do the terms HPC or supercomputing appear. this is of a bit with IBM’s many years-long shift far from techniques, including divestitures of its notebook and X86 server enterprise devices, in desire of utility and cloud, emphasized in the company’s $34 billion purchase in 2019 of purple Hat, an acquisition spearheaded by way of then SVP of IBM Hybrid Cloud and now CEO Arvind Krishna.

“IBM is laser-concentrated on the $1 trillion hybrid cloud opportunity,” he referred to. “client purchasing wants for utility and infrastructure features are diverging, while adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

the place does that go away IBM and HPC? and the way, for that be counted, does the IBM cut up fit into other contemporary HPC M&A activity, together with Nvidia’s acquisitions of excessive efficiency community provider Mellanox closing yr and its deliberate acquisition of CPU design company Arm, together with the more recently introduced  buy of FPGA maker Xilinx by way of AMD – AMD, whose CPUs and GPUs will power two of the exascale methods, Frontier and El Capitan, techniques that can be delivered by HPE and 2018 acquiree Cray?

in the hunt for a larger pattern, if a pattern exists, they put these and different inquiries to several HPC observers. A theme that emerged is that at the excessive end of HPC, systems have turn into so compute-intensive, so specialized, complex and dear that they are more and more less valuable and transferable to the greater quantity mid-sized commercial enterprise HPC market, never mind the mainstream statistics middle server market. constructing a system that can bring, say, a quintillion (1018) calculations per 2nd requires applied sciences and capabilities now not vital for a comparatively smaller cluster. Scaled-up supercomputing clusters don’t slash, the argument goes, making excessive-scale HPC techniques a nasty ROI proposition.

In stark contrast, the argument continues, stands the HPC add-ons enterprise, a high-margin know-how marketplace for CPUs, GPUs, excessive performance networks, excessive-potential HBM reminiscence, excessive velocity interconnects and different apparatus utilized in supercomputing-classification methods

Karl Freund, Senior Analyst, desktop gaining knowledge of & HPC at Moor Insights & method, stated he’s inclined to consider this view, including that IBM is not alone in its regard for the supercomputing market.

“pretty a whole lot each person’s abandoned (HPC) above business, right?” Freund noted. “I mean, Lenovo and Dell have put up the good combat, and that they’ve built a profitable business on the backs of the of the enterprise. but once you get above that the investments required are just out of reach, the hardware margins are squeezed.”

Snell referred to Intel and Nvidia are each satisfied to compete within the HPC gear market while normally staying away from complete methods (even if 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 making an attempt to trap more of the (add-ons) value stream of the systems in popular,” Snell pointed out. “And remember, we’re coming from a cluster era, the early Beowulf clusters handled x86 processors as commodity accessories where Intel didn’t actually capture an outstanding deal of the value of the system basic. Intel has been expanding its price envelope as has Nvidia, so it’s more of the value of an entire gadget is going to the processor providers. by way of that I mean CPUs, accelerators, the entire processing vendors, as neatly as the interconnect providers. And now additionally you’d have to include NVMe storage companies, of which Intel is a frontrunner once more. There’s much less margin attainable for the device issuer, your HPE, Dell or Lenovo.”

And IBM.

Freund, a former IBMer, referred to IBM has wrestled with considerations around hardware vs. software for decades, and now clever, hybrid cloud has getting into the strategic fray.

“The simple design of the (supercomputer) is for running huge, synchronized workloads,” he observed. “And it’s costly enterprise. I suggest, I bear in mind when i used to be at IBM doing POWER5, they had serious, lengthy discussions at the highest level of the business is whether they may still simply abandon HPC then.”

within the view of business analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion analysis, IBM’s movement makes first rate feel and reflects the changing and becoming position HPC and AI within public clouds.

“For IBM, it’s not an abandonment of HPC, it’s HPC in a different context,” Conway spoke of. “Twenty percent of all HPC jobs at the moment are run in third party cloud environments, and the cloud services providers were dashing to get greater at HPC for two reasons. One, the HPC market is now is not any longer a rounding error within the server market, it’s now large adequate to go after even for gigantic agencies. It turned into a few $28 billion market in 2019…, so it’s a large adequate market.

“however the other factor that’s very crucial,” Conway continued, “and it’s been specifically important in IBM’s view, is that already HPC is necessary, it’s  on the forefront of AI for massive emerging use instances, like healthcare and automatic riding and wise cities and information superhighway of things. in case you are looking to recognize what’s going on 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 look to HPC. So it’s no accident that the cloud features suppliers are making a transition from hiring people who know plenty about cloud computing and try to learn about HPC. Now, the CSPs are hiring HPC experts and teaching them about cloud.”

Citing former Cray CTO Steve Scott’s flow to Microsoft Azure as VP of Hardware structure and former Cray VP Barry Bolding’s flow to Amazon internet features as director of HPC, Conway said “that’s very deliberate, as a result of to be able to get to the next stage of growth in HPC cloud computing they in fact must be aware the HPC issues.”

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

IBM’s perceived pulling faraway from supercomputer techniques has implications for Nvidia, which has a turning out to be presence on the Top500 record and used it excessive-velocity NVLink interconnect to tie its GPUs with large Blue CPUs in Summit and Sierra, among different IBM HPC programs. Its GPUs are also integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and other programs companies competing in the high-conclusion facts core, business HPC and AI server markets.

“many of the heavy lifting is finished via GPUs, in case you analyze Summit and Sierra, it’s estimated that 95 % of the FLOPS of these systems are delivered via the GPUs. That’s the place the entire margin’s long past. I mean, Nvidia doesn’t drop their expenditures for any one. They’ve kept their costs pretty excessive, their margins very fit.”

So for Nvidia, the much less-than-hoped-for market traction of the IBM vigour GPU-CPU integration poses an issue, especially, buddy referred to, now that IBM “looks to be much less and less taken with HPC.”

“Nvidia needs a excessive-speed hyperlink to a CPU,” Freund mentioned. “They don’t have that apart from with IBM. So if IBM is considered as not aggressive, or now not critical, or most likely is not inclined to put money into HPC, then that forces Nvidia to do anything like go buy Arm. They ought to have a CPU sooner or later.”

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

“You be aware of, again in the days of Opteron (the AMD information center server CPU launched in 2003 and discontinued in 2017), all and sundry said they desired to integrate every thing onto a CPU cache coherent interconnect, that was going to be the longer term,” Freund talked about. “neatly, it certainly not truly took place. I think this time it will turn up. I suppose that’s what drove AMD’s success in subsequent-technology exascales. So what does Nvidia do? They’ve decided to build an information core-classification, Arm-based mostly CPU. They didn’t ought to buy Arm to do it however that’s the style they decided to do it.”

As IBM embraces AI and hybrid cloud while spinning off its legacy IT business, Snell commented that the business has taken another step in shedding what he referred to is an old-fashioned view of IBM as a mainstream expertise synthesizer – while also noting that massive Blue may additionally had been too innovative for its personal good.

“I provide IBM a lot of credit score for being visionary,” Snell spoke of, “and not most effective in excessive performance computing but in business computing in conventional. be aware that IBM became on analytics and ‘Let’s build a smarter Planet’ 5 years earlier than big facts truly took off in this area. and that they had Watson competing on ‘Jeopardy’ five years before AI truly took off during this space. They have been ahead on hybrid clouds. They were forward on flash, they’re ahead on quantum these days. They’ve been out in front of each important commercial enterprise trend, but they’ve struggled by the time any of it comes to market. It’s as if they’ve been stronger at selling what they will have 10 years from now than what they actually have these days.”

no doubt IBM and Krishna view the enterprise’s strategic shift to hybrid cloud and AI as a route correction to transforming into, excessive-margin markets to be able to make first rate use of huge Blue’s R&D prowess.

“I feel IBM (has been) so focused on issues which are definitely transformative, the domestic run, on the definitely revolutionary play in business, that it draws them faraway from what the vast majority of patrons are able to put into effect today,” Snell pointed out. “if you’re now not a dreamer who’s able to basically shake issues up and do things the way of the future, it’s like IBM hasn’t been ready to discuss with you about whatever incremental… I feel they’ve been too a long way in front. I imply, they’ve been trying to promote quantum more durable than they’re making an attempt to sell HPC at the moment, and quantum simply isn’t a able market.”


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