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IBM Mastery Latest Questions

the place have you long past, IBM? | P8010-034 Cheatsheet and test Questions

Summit

The enterprise that developed the world’s nos. 2 and three strongest supercomputers, according to the latest Top500 ranking of such methods, is to all appearances backing far from the supercomputer techniques enterprise. IBM, whose Summit (at all rightRidge countrywide Laboratory) and Sierra (at Lawrence Livermore country wide Laboratory) CORAL-1 systems set the world usual for pre-exascale supercomputing, failed to win any of the three exascale contracts, and seeing that then IBM has reputedly withdrawn from the HPC programs box.

This has been widely discussed in the HPC group for at least the ultimate 18 months. in reality, in accordance with one industry analyst, as lengthy ago as the annual ISC conference in Frankfurt four years ago, he turned into greatly surprised when IBM instructed him the enterprise changed into now not interested in the HPC company per se, that they had been active in HPC as an entrée to the nascent AI market.

best reinforcing these affect become IBM’s announcement last week of its split into two entities, with its legacy IT infrastructure – the Managed Infrastructure functions unit of its global technology functions division – fitting a brand new public company (“NewCo”), permitting IBM to concentrate on its hybrid cloud and AI boom method.

“Strategically, there’s a query of how IBM is asking at the excessive efficiency computing market in normal,” spoke of Addison Snell, CEO of business watcher Intersect360 analysis. “What we’ve actually viewed is a shift of priorities to focus on synthetic intelligence for definite and hybrid clouds. however there’s been little to no point out of high efficiency computing and even supercomputing at an intentional stage considering that before even Summit and Sierra have been put in. by the time those had been up and operating, if they use the be aware supercomputer in any respect it would be along with AI and AI supercomputer. It’s like they’ve been backing faraway from HPC as if it’s a unclean note that they didn’t are looking to follow to their business. Now, they’re definitely nonetheless clearly presenting what we'd believe to be high performance computing techniques, chiefly in some business markets (economic features, manufacturing, healthcare). however as an immediate targeted market for their power programs, they just haven’t been approaching it.”

Sierra 

In last week’s spinoff announcement, nowhere do the terms HPC or supercomputing appear. here is of a chunk with IBM’s a long time-long shift faraway from methods, together with divestitures of its notebook and X86 server business units, in desire of software and cloud, emphasised in the business’s $34 billion buy in 2019 of red 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 talked about. “client purchasing 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 be counted, does the IBM split healthy into different accurate HPC M&A activity, together with Nvidia’s acquisitions of excessive performance network vendor Mellanox remaining year and its planned acquisition of CPU design business Arm, along with the greater these days introduced  buy of FPGA maker Xilinx via AMD – AMD, whose CPUs and GPUs will power two of the exascale techniques, Frontier and El Capitan, methods that could be delivered by way of HPE and 2018 acquiree Cray?

searching for a larger pattern, if a pattern exists, they put these and other inquiries to several HPC observers. A theme that emerged is that on the high end of HPC, techniques have develop into so compute-intensive, so really good, complicated and costly that they are increasingly much less central and transferable to the better volume mid-sized enterprise HPC market, certainly not mind the mainstream data core server market. constructing a gadget that may convey, say, a quintillion (1018) calculations per 2nd requires technologies and capabilities now not obligatory for a relatively smaller cluster. Scaled-up supercomputing clusters don’t shrink, the argument goes, making severe-scale HPC methods a foul ROI proposition.

In stark distinction, the argument continues, stands the HPC accessories company, a high-margin technology marketplace for CPUs, GPUs, high performance networks, high-means HBM reminiscence, excessive speed interconnects and other equipment utilized in supercomputing-class methods

Karl Freund, Senior Analyst, machine researching & HPC at Moor Insights & method, observed he’s inclined to accept as true with this view, including that IBM isn't by myself in its regard for the supercomputing market.

“relatively an awful lot each person’s deserted (HPC) above enterprise, right?” Freund talked about. “I imply, Lenovo and Dell have put up the first rate fight, and that they’ve developed a profitable enterprise on the backs of the of the business. however when you get above that the investments required are just out of attain, the hardware margins are squeezed.”

Snell noted Intel and Nvidia are both chuffed to compete in the HPC apparatus market while usually staying far from complete techniques (even though Intel as top on the Aurora exascale device and Nvidia’s DGX AI supercomputer line).

“there has been that trend with both Intel and Nvidia attempting to seize more of the (add-ons) cost circulation of the systems in customary,” Snell said. “And remember, we’re coming from a cluster period, the early Beowulf clusters handled x86 processors as commodity accessories the place Intel didn’t in fact trap a very good deal of the value of the system overall. Intel has been increasing its cost envelope as has Nvidia, so it’s greater of the price of a complete system goes to the processor vendors. via that I imply CPUs, accelerators, all the processing carriers, as neatly because the interconnect companies. And now additionally you’d need to encompass NVMe storage carriers, of which Intel is a leader again. There’s much less margin accessible for the gadget issuer, your HPE, Dell or Lenovo.”

And IBM.

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

“The simple design of the (supercomputer) is for running massive, synchronized workloads,” he talked about. “And it’s expensive company. I suggest, I remember when i was at IBM doing POWER5, they had serious, lengthy discussions at the optimum degree of the enterprise is whether they should still simply abandon HPC then.”

within the view of trade analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion analysis, IBM’s move makes first rate experience and reflects the altering and starting to be position HPC and AI inside public clouds.

“For IBM, it’s no longer an abandonment of HPC, it’s HPC in a special context,” Conway pointed out. “Twenty % of all HPC jobs at the moment are run in third party cloud environments, and the cloud features suppliers have been dashing to get more advantageous at HPC for 2 motives. One, the HPC market is now isn't any longer a rounding error within the server market, it’s now massive satisfactory to go after even for colossal companies. It become a couple of $28 billion market in 2019…, so it’s a big adequate market.

“however the different element that’s very critical,” Conway continued, “and it’s been chiefly crucial in IBM’s view, is that already HPC is indispensable, it’s  on the forefront of AI for large rising use circumstances, like healthcare and automated driving and sensible cities and internet of issues. if you are looking to know what’s going on on the most advanced ranges that’s probably going to have an effect on the mainstream AI market — which remains an early market — then appear to HPC. So it’s no accident that the cloud functions providers are making a transition from hiring americans who understand an awful lot about cloud computing and are trying to find out about HPC. Now, the CSPs are hiring HPC consultants and instructing them about cloud.”

Citing former Cray CTO Steve Scott’s stream to Microsoft Azure as VP of Hardware architecture and former Cray VP Barry Bolding’s flow to Amazon web services as director of HPC, Conway observed “that’s very deliberate, as a result of with the intention to get to the next stage of boom in HPC cloud computing they basically need to take note the HPC problems.”

And HPC in the cloud more and more skill AI, forming the impetus behind IBM’s split.

IBM’s perceived pulling faraway from supercomputer programs has implications for Nvidia, which has a starting to be presence on the Top500 listing and used it excessive-pace NVLink interconnect to tie its GPUs with large Blue CPUs in Summit and Sierra, amongst different IBM HPC systems. Its GPUs are also integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and other programs vendors competing within the excessive-end data core, business HPC and AI server markets.

“many of the heavy lifting is achieved by way of GPUs, in case you look at Summit and Sierra, it’s estimated that ninety five % of the FLOPS of these systems are delivered by way of the GPUs. That’s where all of the margin’s long gone. I imply, Nvidia doesn’t drop their fees for anyone. They’ve stored their fees highly excessive, their margins very healthy.”

So for Nvidia, the much less-than-hoped-for market traction of the IBM vigour GPU-CPU integration poses an issue, certainly, Freund said, now that IBM “appears to be much less and fewer excited about HPC.”

“Nvidia wants a high-speed hyperlink to a CPU,” Freund talked about. “They don’t have that aside from with IBM. So if IBM is viewed as no longer competitive, or now not severe, or possibly isn't willing to invest in HPC, then that forces Nvidia to do some thing like go purchase Arm. They should have a CPU sooner or later.”

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

“You be aware of, lower back in the days of Opteron (the AMD records middle server CPU launched in 2003 and discontinued in 2017), everybody stated they wanted to integrate every thing onto a CPU cache coherent interconnect, that become going to be the future,” Freund noted. “smartly, it certainly not definitely happened. I consider this time it will turn up. I think that’s what drove AMD’s success in subsequent-generation exascales. So what does Nvidia do? They’ve decided to build a data middle-classification, Arm-primarily based CPU. They didn’t ought to purchase Arm to do it however 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 company has taken a different step in shedding what he talked about is an out of date view of IBM as a mainstream expertise synthesizer – while also noting that large Blue may additionally had been too imaginitive for its own respectable.

“I supply IBM lots of credit for being visionary,” Snell pointed out, “and never best in high efficiency computing but in enterprise computing in general. be aware that IBM become on analytics and ‘Let’s construct a smarter Planet’ five years before large records truly took off during this space. and that they had Watson competing on ‘Jeopardy’ 5 years earlier than AI actually took off in this area. They have been forward on hybrid clouds. They were forward on flash, they’re ahead on quantum these days. They’ve been out in front of every foremost business vogue, but they’ve struggled by the point any of it comes to market. It’s as in the event that they’ve been more advantageous at selling what they're going to have 10 years from now than what they even have today.”

little doubt IBM and Krishna view the company’s strategic shift to hybrid cloud and AI as a course correction to becoming, high-margin markets in an effort to make good use of huge Blue’s R&D prowess.

“I think IBM (has been) so focused on things that are in fact transformative, the domestic run, on the in reality modern play in commercial enterprise, that it draws them faraway from what the majority of buyers are able to put in force nowadays,” Snell spoke of. “in case you’re now not a dreamer who’s able to basically shake issues up and do things the manner of the future, it’s like IBM hasn’t been able to seek advice from you about anything incremental… I feel they’ve been too a long way in front. I imply, they’ve been making an attempt to promote quantum tougher than they’re attempting to sell HPC at the moment, and quantum simply isn’t a in a position market.”


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