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IBM Performance questions

the place have you long gone, IBM? | 000-647 cheat sheet and test dumps


The company that constructed the area’s nos. 2 and 3 strongest supercomputers, in accordance with the latest Top500 rating of such systems, 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 programs set the world typical for pre-exascale supercomputing, didn't win any of the three exascale contracts, and due to the fact that then IBM has apparently withdrawn from the HPC techniques box.

This has been generally discussed in the HPC community for at least the closing 18 months. in fact, in accordance with one industry analyst, as lengthy ago as the annual ISC convention in Frankfurt four years ago, he became stunned when IBM advised him the company became not drawn to 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 closing week of its split into two entities, with its legacy IT infrastructure – the Managed Infrastructure services unit of its world technology features division – becoming a new public company (“NewCo”), permitting IBM to be aware of its hybrid cloud and AI increase approach.

“Strategically, there’s a question of how IBM is asking at the high performance computing market in well-known,” pointed out Addison Snell, CEO of business watcher Intersect360 research. “What we’ve basically viewed is a shift of priorities to focus on artificial intelligence for definite and hybrid clouds. but there’s been little to no mention of excessive performance computing or even supercomputing at an intentional level on the grounds that earlier than even Summit and Sierra had been installed. by the point these have been up and working, in the event that they use the notice supercomputer at all it would be along with AI and AI supercomputer. It’s like they’ve been backing away from HPC as if it’s a dirty be aware that they didn’t wish to practice to their company. Now, they’re definitely nonetheless clearly presenting what they would consider to be excessive performance computing techniques, chiefly in some commercial markets (monetary capabilities, manufacturing, healthcare). however as a right away centered market for their energy programs, they just haven’t been drawing near it.”


In ultimate week’s spinoff announcement, nowhere do the phrases HPC or supercomputing appear. here's of a piece with IBM’s a long time-lengthy shift far from techniques, together with divestitures of its notebook and X86 server enterprise units, in choose of application and cloud, emphasised in the company’s $34 billion purchase in 2019 of crimson 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 probability,” he mentioned. “customer buying needs for software and infrastructure services are diverging, whereas adoption of their hybrid cloud platform is accelerating.”

Arvind Krishna of IBM

the place does that leave IBM and HPC? and the way, for that depend, does the IBM break up fit into other fresh HPC M&A pastime, including Nvidia’s acquisitions of high efficiency community dealer Mellanox closing year and its planned acquisition of CPU design enterprise Arm, together with the extra recently announced  buy of FPGA maker Xilinx via AMD – AMD, whose CPUs and GPUs will force two of the exascale methods, Frontier and El Capitan, methods that might be delivered by HPE and 2018 acquiree Cray?

searching for a larger pattern, if a pattern exists, they put these and different questions to a number of HPC observers. A theme that emerged is that on the excessive end of HPC, programs have develop into so compute-intensive, so really expert, complex and costly that they're more and more less imperative and transferable to the better extent mid-sized business HPC market, not ever intellect the mainstream information core server market. constructing a gadget that may carry, say, a quintillion (1018) calculations per 2d requires applied sciences and capabilities not mandatory for a relatively smaller cluster. Scaled-up supercomputing clusters don’t scale back, the argument goes, making intense-scale HPC systems a bad ROI proposition.

In stark contrast, the argument continues, stands the HPC components enterprise, a high-margin technology market for CPUs, GPUs, excessive efficiency networks, high-capability HBM memory, high speed interconnects and different equipment utilized in supercomputing-classification programs

Karl Freund, Senior Analyst, laptop studying & HPC at Moor Insights & method, stated he’s inclined to believe this view, adding that IBM is not by myself in its regard for the supercomputing market.

“relatively a good deal all and sundry’s abandoned (HPC) above commercial enterprise, appropriate?” Freund talked about. “I suggest, Lenovo and Dell have put up the respectable combat, and they’ve constructed a ecocnomic company on the backs of the of the enterprise. however once you get above that the investments required are just out of reach, the hardware margins are squeezed.”

Snell observed Intel and Nvidia are both satisfied to compete in the HPC apparatus market whereas normally staying faraway from comprehensive programs (although Intel as top on the Aurora exascale equipment and Nvidia’s DGX AI supercomputer line).

“there has been that fashion with each Intel and Nvidia making an attempt to seize more of the (accessories) cost move of the techniques in established,” Snell noted. “And remember, we’re coming from a cluster era, the early Beowulf clusters handled x86 processors as commodity accessories where Intel didn’t definitely seize a good deal of the value of the system usual. Intel has been expanding its value envelope as has Nvidia, so it’s more of the value of a complete gadget is going to the processor providers. by means of that I suggest CPUs, accelerators, the entire processing providers, as well as the interconnect providers. And now additionally you’d must include NVMe storage vendors, of which Intel is a pacesetter once more. There’s much less margin purchasable for the equipment issuer, your HPE, Dell or Lenovo.”

And IBM.

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

“The primary design of the (supercomputer) is for operating gigantic, synchronized workloads,” he stated. “And it’s expensive company. I suggest, I remember when i was at IBM doing POWER5, they had critical, lengthy discussions on the highest level of the business is whether or not they may still just abandon HPC then.”

within the view of industry analyst Steve Conway, Senior Adviser, HPC Market Dynamics at Hyperion research, IBM’s flow makes good experience and reflects the altering and starting to be role HPC and AI within public clouds.

“For IBM, it’s not an abandonment of HPC, it’s HPC in a different context,” Conway pointed out. “Twenty % of all HPC jobs at the moment are run in third celebration cloud environments, and the cloud functions suppliers had been dashing to get superior at HPC for two factors. One, the HPC market is now is no longer a rounding error in the server market, it’s now big enough to head after even for large agencies. It was about a $28 billion market in 2019…, so it’s a large sufficient market.

“however the other factor that’s very important,” Conway endured, “and it’s been principally essential in IBM’s view, is that already HPC is quintessential, it’s  on the forefront of AI for big emerging use cases, like healthcare and automated riding and sensible cities and internet of things. in case you need to comprehend what’s happening at the most superior levels that’s probably 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 capabilities providers are making a transition from hiring people who recognize an awful lot about cloud computing and are attempting to learn about HPC. Now, the CSPs are hiring HPC certified and teaching them about cloud.”

Citing former Cray CTO Steve Scott’s circulation to Microsoft Azure as VP of Hardware structure and former Cray VP Barry Bolding’s stream to Amazon web features as director of HPC, Conway talked about “that’s very deliberate, as a result of so as to get to the subsequent stage of boom in HPC cloud computing they in fact have to be aware the HPC issues.”

And HPC in the cloud more and more capacity AI, forming the impetus in the back of IBM’s cut up.

IBM’s perceived pulling far from supercomputer methods 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 big Blue CPUs in Summit and Sierra, amongst other IBM HPC methods. Its GPUs are additionally integrated with CPUs in servers from Dell, Lenovo, HPE, Supermicro and different methods companies competing within the excessive-conclusion information core, commercial enterprise HPC and AI server markets.

“lots of the heavy lifting is completed by using GPUs, in case you study Summit and Sierra, it’s estimated that 95 % of the FLOPS of those techniques are delivered with the aid of the GPUs. That’s where all the margin’s long past. I imply, Nvidia doesn’t drop their costs for anyone. They’ve stored their expenditures surprisingly high, their margins very healthy.”

So for Nvidia, the much less-than-hoped-for market traction of the IBM energy GPU-CPU integration poses an issue, specially, Freund talked about, now that IBM “appears to be much less and less all for HPC.”

“Nvidia wants a excessive-velocity hyperlink to a CPU,” Freund mentioned. “They don’t have that except for with IBM. So if IBM is seen as no longer aggressive, or not serious, or possibly isn't willing to invest in HPC, then that forces Nvidia to do anything like go purchase Arm. They have to have a CPU in the future.”

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

“You comprehend, back in the days of Opteron (the AMD statistics middle server CPU launched in 2003 and discontinued in 2017), all and sundry referred to they wanted to combine everything onto a CPU cache coherent interconnect, that become going to be the long run,” Freund noted. “well, it on no account basically came about. I think this time it is going to turn up. I consider that’s what drove AMD’s success in subsequent-technology exascales. So what does Nvidia do? They’ve determined to build an information center-classification, Arm-based mostly CPU. They didn’t ought to buy Arm to do it however that’s the style they determined to do it.”

As IBM embraces AI and hybrid cloud whereas spinning off its legacy IT company, Snell commented that the business has taken one other step in shedding what he talked about is an out of date view of IBM as a mainstream expertise synthesizer – whereas additionally noting that large Blue might also have been too imaginative for its own first rate.

“I deliver IBM lots of credit score for being visionary,” Snell noted, “and never handiest in high efficiency computing but in enterprise computing in regularly occurring. remember that IBM changed into on analytics and ‘Let’s construct a better Planet’ five years before massive statistics in reality took off during this house. and they had Watson competing on ‘Jeopardy’ five years earlier than AI in reality took off during this space. They had been ahead on hybrid clouds. They have been ahead on flash, they’re forward on quantum today. They’ve been out in entrance of every principal 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 improved at promoting what they're going to have 10 years from now than what they actually have nowadays.”

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 so that it will make decent use of big Blue’s R&D prowess.

“I suppose IBM (has been) so concentrated on things that are truly transformative, the domestic run, on the basically innovative play in enterprise, that it attracts them faraway from what the majority of buyers are able to implement these days,” Snell said. “in case you’re no longer a dreamer who’s ready to in fact shake issues up and do issues the way of the long run, it’s like IBM hasn’t been able to confer with you about some thing incremental… I suppose they’ve been too some distance in front. I imply, they’ve been trying to sell quantum harder than they’re attempting to sell HPC presently, and quantum simply isn’t a equipped market.”

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