Valid and Latest killexams C9020-460 Practice Test
A lot of men and women when fall short IBM Midrange Storage Sales V2 exam, do not really attempt again. We all recommend you in order to get our C9020-460 test questions and solutions with VCE exercise test and test once more plus you will obtain the highest marks within C9020-460 exam. That can be guaranteed. We supply updated, valid plus latest C9020-460 PDF Questions.
Exam Code: C9020-460 Practice exam 2022 by Killexams.com team IBM Midrange Storage Sales V2 IBM approach Killexams : IBM approach - BingNews
Search resultsKillexams : IBM approach - BingNews
https://killexams.com/exam_list/IBMKillexams : IBM: 3 Ways To Play Earnings
As many of our readers know by now, we have spent the majority of 2022 looking to bolster our equity portfolios with names that should be able to better withstand a higher interest rate environment and a potential recession. Focusing on companies with stable revenues, relatively predictable earnings and respectable dividend yields has helped shelter us from some of the carnage that has resulted from the bear market. One name that has been a surprise in our portfolios in 2022 is International Business Machines (NYSE:IBM). IBM has returned 4.68% while also paying what was a nearly 5% yield; so the YTD total return is above 7%. Not bad at all when the market has entered a bear market and the S&P 500 is down over 18% in the same period.
While we like IBM long-term, in a bear market the best plan of action is to always be willing to take action. We have been selling covered calls on IBM shares we own in various portfolios throughout 2022 when it made sense, but with earnings season upon us, we revisited the stock and IBM's business prospects to see how we would trade the stock across various client portfolios.
Main Points That Changed In Our Thesis
Part of managing money is revisiting portfolio holdings and past trades. One exercise we like to do each morning is browse through the portfolios and see if there is anything that we are no longer interested in owning at current prices or based off of exact news (and if we identify anything, then we have to decide the best way to trade those holdings moving forward). Doing that exercise this weekend caused us to take a deeper look at IBM and weigh how we thought the stock might perform with earnings coming out Monday night.
With the U.S. Federal Reserve raising interest rates at a relentless pace while Japan, the EU and China all struggle economically right now and hold off on tightening, the U.S. Dollar has been on a tear.
Why does this matter? Well based on 2022 Q1 revenues, the Americas represented 50% of IBM's revenues. The company's revenues in Europe, Middle East & Africa (EMEA) and Asia Pacific were 29.58% and 20.42%, respectively. So even if IBM is extremely well hedged on the currency front and finds a way to offset currency headwinds with new business, with over 50% of revenues coming from outside of the United States, and a reluctance of other central banks to move aggressively (namely the EU and Japanese), then eventually the U.S. Dollar's strength is going to provide a significant headwind. Will that be this quarter, next quarter, or a year from now? We are not sure on the exact timing, but we do know that the impact will eventually be felt and that it could be sooner rather than later.
IBM has even discussed this in previous quarter's earnings calls, with the below slide attached to their Q1 2022 quarterly results materials.
While currency is a real concern, we also have some questions about IBM's ability to recognize revenue on historical timelines. We have heard stories from friends in the industry where they are unable to bill for IT consulting services, or those on the other side of the deal not paying for IT consulting services because they are waiting to take delivery of product for installation, etc. So although the good news is that we have heard of many businesses looking to outsource tasks right now due to the tight labor market, the bad news is that there seems to be an issue for some companies with being able to do the contracted consulting work because projects are getting delayed as customers await delivery of key materials or products. This might not be an issue for IBM currently, but it is a troubling theme we have been hearing more and more about.
How To Trade
We think that there are three points with which to view trading IBM around earnings.
If you already own the shares: This is the boat that we are in across the majority of our personal portfolios. We believe that holding the shares remains prudent, however we also think that it is wise to attempt to create as many income streams from the shares as possible in a bear market, so we recommend selling covered calls on IBM shares sometime Monday before the market closes. We are focused on the July 22, 2022 $145 Calls and will target $2.01/share or higher in order to book a $200+ option premium after fees (or roughly a 1.4% yield from the option premium). With this trade, the stock would have to rise more than 5% for us to "lose" and if we do get called on our shares, we are confident that there are other names we could purchase that would deliver the same yield and possibly better growth prospects.
If you want to buy shares for a long-term investment: While we understand the allure of the dividend and predictable cash flows that the business generates, we think that investors should be very methodical in how and when they enter trades in this market. So if an investor wants to add exposure to IBM, we believe that rather than buying shares outright they should look at utilizing the options market to choose their entry level and potential dividend yield. If it were a trade, we needed to place for one of our portfolios, and we do have a client portfolio or two that this trade may work for, then we would focus on the July 22, 2022 Puts utilizing either the $130 or the $132 strikes. We prefer the $130 contract due to the liquidity but recognize that some readers may see the $1.15/share premium as "not worth the work" because of the 0.88% yield on the premium. Utilizing the $132 puts and the expected $1.52/share premium delivers a 1.15% yield on the premium. We would point out that either trade is acceptable in our book because if exercised, you would own IBM shares at a level that yields at least 5% (assuming no dividend cut).
If you want to trade earnings: We recommend against trading IBM shares specifically for earnings and we do believe that the currency headwinds and supply chain issues might impact the business faster than some expect. If one was to play this name for earnings, we would look to buy the July 22, 2022 $145 Calls below $2/share during Monday's session while also buying the July 22, 2022 $135 Puts below $2.30/share. Basically, the stock will have to move 7% one way or the other to make money and depending on your ability to exit the losing side of the trade it could be less.
In a bear market, any time you can find a way to exit a position and get paid to do so, you have to look at that as a win. We believe that managing positions is the best way to manage your overall portfolio in a market such as this because even though you run the risk of the tail wagging the dog, you should have another opportunity (and usually in a short period of time) to re-enter the trade at the same price, or a better price, from where you were forced to exit. The one item that might impact how readers approach IBM in the current market and how they use the options market to move in and out of positions is the company's dividend. There is probably less than a month before the stock goes ex-dividend, so utilizing the current week's contracts makes a lot of sense because if they are exercised on you, then you can utilize IBM's weekly options contracts moving forward in order to reestablish the position, if desired. That strategy would deliver you two weeks to try and reenter the stock.
Sun, 17 Jul 2022 19:07:00 -0500entext/htmlhttps://seekingalpha.com/article/4523883-ibm-3-ways-to-play-q2-earningsKillexams : The Tech Earnings Season Is About to Start. IBM Is the First Stock to Watch.
IBM kicks off the tech earnings season when it reports June quarter results after the close of trading on Monday. Investors will be looking for confirmation of the company’s exact turnaround and any signs that it is feeling the effects of macroeconomic headwinds.
The consensus on Wall Street is that sales will come in at $15.1 billion, with profits of $2.26 a share. In the first quarter, IBM (ticker: IBM) posted revenue of $14.2 billion, up 8%, or 11% in constant-currency terms, and well ahead of the $13.8 billion analysts expected.
IBM continues to see positive results from its exact restructuring, which has focused the company on software and services tied to artificial intelligence and hybrid cloud computing. The company is also at the start of a new product cycle for its mainframe hardware business, which should help support growth for the next few quarters. In the March quarter, IBM had 12.3% growth from software—, 15.4% adjusted for foreign exchange—-and 13.3% growth in consulting revenue, or 17.4% adjusted for currency.
When IBM reported those results, management said it expected full-year revenue to hit the high end of the range it had targeted earlier, with mid-single-digit growth on a constant-currency basis. The company doesn’t provide guidance on a quarterly basis.
IBM projected currency would be a 3-to-4 point drag on reported results, which could turn out to be an underestimate, given that continued strengthening of the dollar.
Asked one quarter ago about how the company might be affected by slower global growth, CEO Arvind Krishna told Barron’s that he expects growth in global spending on IT to be 4 to 5 percentage points above GDP, leaving room for growth even in a widespread economic downturn. IBM has projected free cash flow of $10 billion to $10.5 billion for this year, predicting $35 billion over the three years through 2024.
Earlier this month, Morgan Stanley analyst Erik Woodring repeated a Buy rating on IBM shares, saying he expects June quarter revenue will be up 6% from a year earlier on a constant currency basis. Channel checks on the company’s software and consulting business remain “solid,” he said.
BofA Global Research analyst Wamsi Mohan on Thursday also repeated a Buy rating on IBM shares, while tweaking his price target to $163, from $165. His view is that the company is a relatively defensive bet, with more than 50% of revenue “annuitized” and tied to consulting and software. Another asset is a 4.8% dividend yield, one of the tech sector’s highest payouts.
IBM shares are up 4.7% this year, outperforming the S&P 500 by almost 24 percentage points. Mohan said he expects further outperformance as the company hits its revenue and cash flow targets, driven by management’s revamped strategy.
“We view IBM as a defensive investment given its high exposure to recurring sales, cost cutting levers, solid balance sheet, potential share gains, and relatively stable margins,” Mohan wrote. “We believe IBM will embark on further cost cutting, and enhance its services and software offerings through acquisitions. Longer term, we expect IBM to take share in IT spending with its cloud and AI initiatives.”
A consultancy business is only as good as the knowhow it can impart onto clients. So it speaks volumes that, when asked what sets IBM Consulting apart, Lee-Han Tjioe, General Manager for Hong Kong and Macau, points to its rich and varied expertise.
“We have both business consulting and technology consulting in our scope,” Lee-Han says. “We have business consultants in our team that help clients with their strategy, with their new propositions, with defining or optimising business processes. That's one part of our practice. The other part is where we also advise on specific technology topics. So we have consultants that are very specialised in key technologies like AI and Hybrid Cloud that can help clients to achieve technology enabled major operational improvements. We basically have both deep business and technology skill sets to deliver end-to-end solutions.”
IBM has been a trusted advisory and delivery partner with high market reputation for decades, and has further developed into an eco-system provider with exact major corporate acquisitions to expand its AI and Hybrid Cloud skill sets to support clients with implementing differentiating industry and technology solutions. Today, IBM works closely and collaboratively with companies and eco-system partners to achieve required business model changes enabled by modern digital solutions which, without reliable partners, would be hard to scale at fast pace.
In many cases, IBM’s clients are international and local conglomerate companies across multiple key industries. “We are co-creating with our clients and ecosystem partners to develop new propositions and experiences, and applying best practices in a fast fashion with fast go-to-market. One example is with an insurance company that we work with on IOT for “pay-how-you-drive” insurance. And so we helped the client to actually get the right technologies into the cars to track driving behaviours and attach that to very innovative insurance propositions.”
IBM’s partnership with AXA
Another example is IBM’s strong partnership with insurance company AXA, which has endured for many years. Initially, AXA had their applications managed by providers over the world but was looking to consolidate, recognising that it was very hard to achieve consistent levels of service as well as cost-effectiveness. AXA brought IBM on board to manage those applications but also to help them innovate.
“Our partnership with AXA means that we are delivering multi-year support for the business-critical applications that AXA has,” Lee-Han continues. “Those applications are supporting distribution, sales, and key internal operations. We have transferred knowledge of 60 applications within four months and now support about 100+ applications. This is the foundation for our partnership with AXA. We are now helping with further accelerated0 deployment of API-based services on AXA’s digital platform to meet the fast developing new market needs.”
IBM Consulting and Our Transformation
IBM Consulting’s business can be broken down into four pillars: 1. Strategy Consulting, where it works with clients to define vision and blueprint for its future; 2. Experience Consulting, where Garage and Design thinking approaches are applied to redefine new experiences for clients and their customers; 3. Operations Consulting, in which it examines how it can optimise current business activity with automation and new technologies such as AI and IoT; and lastly 4. Technology Consulting, where IBM helps clients to implement or manage enterprise solutions and leverage Cloud technologies for optimising application management.
It’s a diverse remit – but at the heart of everything the firm does is the Virtual Enterprise, IBM’s framework that helps clients in their pursuit of digital transformation. Transformation is not just about taking on technical hurdles, IBM’s depth of transformation experiences and understanding of key industry opportunities proofs a Virtual Enterprise approach can be achieved with an end-to-end vision for achieving business growth.
Tue, 12 Jul 2022 18:39:00 -0500entext/htmlhttps://fintechmagazine.com/articles/ibms-expertise-nurturing-transformational-change-in-fintechKillexams : IBM Expands Its Power10 Portfolio For Mission Critical Applications
It is sometimes difficult to understand the true value of IBM's Power-based CPUs and associated server platforms. And the company has written a lot about it over the past few years. Even for IT professionals that deploy and manage servers. As an industry, we have become accustomed to using x86 as a baseline for comparison. If an x86 CPU has 64 cores, that becomes what we used to measure relative value in other CPUs.
But this is a flawed way of measuring CPUs and a broken system for measuring server platforms. An x86 core is different than an Arm core which is different than a Power core. While Arm has achieved parity with x86 for some cloud-native workloads, the Power architecture is different. Multi-threading, encryption, AI enablement – many functions are designed into Power that don’t impact performance like other architectures.
I write all this as a set-up for IBM's announced expanded support for its Power10 architecture. In the following paragraphs, I will provide the details of IBM's announcement and deliver some thoughts on what this could mean for enterprise IT.
What was announced
Before discussing what was announced, it is a good idea to do a quick overview of Power10.
IBM introduced the Power10 CPU architecture at the Hot Chips conference in August 2020. Moor Insights & Strategy chief analyst Patrick Moorhead wrote about it here. Power10 is developed on the opensource Power ISA. Power10 comes in two variants – 15x SMT8 cores and 30x SMT4 cores. For those familiar with x86, SMT8 (8 threads/core seems extreme, as does SMT4. But this is where the Power ISA is fundamentally different from x86. Power is a highly performant ISA, and the Power10 cores are designed for the most demanding workloads.
One last note on Power10. SMT8 is optimized for higher throughput and lower computation. SMT4 attacks the compute-intensive space with lower throughput.
IBM introduced the Power E1080 in September of 2021. Moor Insights & Strategy chief analyst Patrick Moorhead wrote about it here. The E1080 is a system designed for mission and business-critical workloads and has been strongly adopted by IBM's loyal Power customer base.
Because of this success, IBM has expanded the breadth of the Power10 portfolio and how customers consume these resources.
The big reveal in IBM’s exact announcement is the availability of four new servers built on the Power10 architecture. These servers are designed to address customers' full range of workload needs in the enterprise datacenter.
The Power S1014 is the traditional enterprise workhorse that runs the modern business. For x86 IT folks, think of the S1014 equivalent to the two-socket workhorses that run virtualized infrastructure. One of the things that IBM points out about the S1014 is that this server was designed with lower technical requirements. This statement leads me to believe that the company is perhaps softening the barrier for the S1014 in data centers that are not traditional IBM shops. Or maybe for environments that use Power for higher-end workloads but non-Power for traditional infrastructure needs.
The Power S1022 is IBM's scale-out server. Organizations embracing cloud-native, containerized environments will find the S1022 an ideal match. Again, for the x86 crowd – think of the traditional scale-out servers that are perhaps an AMD single socket or Intel dual-socket – the S1022 would be IBM's equivalent.
Finally, the S1024 targets the data analytics space. With lots of high-performing cores and a big memory footprint – this server plays in the area where IBM has done so well.
In addition, to these platforms, IBM also introduced the Power E1050. The E1050 seems designed for big data and workloads with significant memory throughput requirements.
The E1050 is where I believe the difference in the Power architecture becomes obvious. The E1050 is where midrange starts to bump into high performance, and IBM claims 8-socket performance in this four-socket socket configuration. IBM says it can deliver performance for those running big data environments, larger data warehouses, and high-performance workloads. Maybe, more importantly, the company claims to provide considerable cost savings for workloads that generally require a significant financial investment.
One benchmark that IBM showed was the two-tier SAP Standard app benchmark. In this test, the E1050 beat an x86, 8-socket server handily, showing a 2.6x per-core performance advantage. We at Moor Insights & Strategy didn’t run the benchmark or certify it, but the company has been conservative in its disclosures, and I have no reason to dispute it.
But the performance and cost savings are not just associated with these higher-end workloads with narrow applicability. In another comparison, IBM showed the Power S1022 performs 3.6x better than its x86 equivalent for running a containerized environment in Red Hat OpenShift. When all was added up, the S1022 was shown to lower TCO by 53%.
What makes Power-based servers perform so well in SAP and OpenShift?
The value of Power is derived both from the CPU architecture and the value IBM puts into the system and server design. The company is not afraid to design and deploy enhancements it believes will deliver better performance, higher security, and greater reliability for its customers. In the case of Power10, I believe there are a few design factors that have contributed to the performance and price//performance advantages the company claims, including
Use Differential DIMM technology to increase memory bandwidth, allowing for better performance from memory-intensive workloads such as in-memory database environments.
Built-in AI inferencing engines that increase performance by up to 5x.
Transparent memory encryption performs this function with no performance tax (note: AMD has had this technology for years, and Intel introduced about a year ago).
These seemingly minor differences can add up to deliver significant performance benefits for workloads running in the datacenter. But some of this comes down to a very powerful (pardon the redundancy) core design. While x86 dominates the datacenter in unit share, IBM has maintained a loyal customer base because the Power CPUs are workhorses, and Power servers are performant, secure, and reliable for mission critical applications.
Like other server vendors, IBM sees the writing on the wall and has opened up its offerings to be consumed in a way that is most beneficial to its customers. Traditional acquisition model? Check. Pay as you go with hardware in your datacenter? Also, check. Cloud-based offerings? One more check.
While there is nothing revolutionary about what IBM is doing with how customers consume its technology, it is important to note that IBM is the only server vendor that also runs a global cloud service (IBM Cloud). This should enable the company to pass on savings to its customers while providing greater security and manageability.
I like what IBM is doing to maintain and potentially grow its market presence. The new Power10 lineup is designed to meet customers' entire range of performance and cost requirements without sacrificing any of the differentiated design and development that the company puts into its mission critical platforms.
Will this announcement move x86 IT organizations to transition to IBM? Unlikely. Nor do I believe this is IBM's goal. However, I can see how businesses concerned with performance, security, and TCO of their mission and business-critical workloads can find a strong argument for Power. And this can be the beginning of a more substantial Power presence in the datacenter.
Note: This analysis contains insights from Moor Insights & Strategy Founder and Chief Analyst, Patrick Moorhead.
Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.
Thu, 14 Jul 2022 01:00:00 -0500Matt Kimballentext/htmlhttps://www.forbes.com/sites/moorinsights/2022/07/14/ibm-expands-its-power10-portfolio-for-mission-critical-applications/Killexams : IBM Impact: Making a Lasting, Positive Impact in Business Ethics, Our Environment, and Communities
Northampton, MA --News Direct-- IBM
Recently, IBM launched IBM Impact, a new framework for the company's environmental, social, and governance (ESG) work that reflects how IBM aspires to create a more sustainable, equitable, and ethical future.
As detailed in the 2021 ESG report, IBM Impact comprises three pillars: Environmental Impact, Equitable Impact, and Ethical Impact. These values have been embedded in IBM's DNA as a company and have driven its work for its employees, clients, and other stakeholders across the world over the past century.
Get insights on how IBM is creating better pathways to conserve natural resources; creating spaces and opportunities for everyone by focusing on diversity, equity, and inclusivity; and creating innovations, policies and practices that prioritize ethics, trust, transparency, and above all – accountability:
Hicks first joined Red Hat in 2006 as a developer and has held a number of roles at the company over his 22-year career there. Most recently he was vice president of product and technologies, which saw him take responsibility for the entirety of Red Hat’s product strategy and engineering function.
During his time in that role, Hicks oversaw the expansion of Red Hat’s open hybrid cloud strategy and portfolio, allowing customers to build, deploy and manage applications either on-premises, in the cloud, or at the edge.
In a message to Red Hat’s employees, Hicks said that when he joined the company, he never imagined his career would lead him to this moment. However, he warned colleagues not to become complacent by the company’s exact achievements, and that he would spend every day continuing to “fight for Red Hat to succeed”.
Red Hat’s focus on enterprise-ready solutions built on open source technologies like Linux and Kubernetes helped it reach more than $3 billion in annual revenues before it was acquired by IBM, which is looking to reshape its own strategy around open hybrid and multicloud technologies.
“Open source is now solidly the innovation driver for the software industry and Red Hat is the leader in enterprise open source, period. No one does it better than us. We will continue to earn that respected position and push ourselves to deliver the open source innovation that makes customers successful,” Hicks said.
Tue, 12 Jul 2022 21:38:00 -0500entext/htmlhttps://www.infoworld.com/article/3666595/ibm-red-hat-names-matt-hicks-as-president-and-ceo.htmlKillexams : IBM extends Power10 server lineup for enterprise use cases
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
IBM is looking to grow its enterprise server business with the expansion of its Power10 portfolio announced today.
IBM Power is a RISC (reduced instruction set computer) based chip architecture that is competitive with other chip architectures including x86 from Intel and AMD. IBM’s Power hardware has been used for decades for running IBM’s AIX Unix operating system, as well as the IBM i operating system that was once known as the AS/400. In more exact years, Power has increasingly been used for Linux and specifically in support of Red Hat and its OpenShift Kubernetes platform that enables organizations to run containers and microservices.
The IBM Power10 processor was announced in August 2020, with the first server platform, the E1080 server, coming a year later in September 2021. Now IBM is expanding its Power10 lineup with four new systems, including the Power S1014, S1024, S1022 and E1050, which are being positioned by IBM to help solve enterprise use cases, including the growing need for machine learning (ML) and artificial intelligence (AI).
What runs on IBM Power servers?
Usage of IBM’s Power servers could well be shifting into territory that Intel today still dominates.
Join us at the leading event on applied AI for enterprise business and technology decision makers in-person July 19 and virtually from July 20-28.
Steve Sibley, vp, IBM Power product management, told VentureBeat that approximately 60% of Power workloads are currently running AIX Unix. The IBM i operating system is on approximately 20% of workloads. Linux makes up the remaining 20% and is on a growth trajectory.
IBM owns Red Hat, which has its namesake Linux operating system supported on Power, alongside the OpenShift platform. Sibley noted that IBM has optimized its new Power10 system for Red Hat OpenShift.
“We’ve been able to demonstrate that you can deploy OpenShift on Power at less than half the cost of an Intel stack with OpenShift because of IBM’s container density and throughput that we have within the system,” Sibley said.
A look inside IBM’s four new Power servers
Across the new servers, the ability to access more memory at greater speed than previous generations of Power servers is a key feature. The improved memory is enabled by support of the Open Memory Interface (OMI) specification that IBM helped to develop, and is part of the OpenCAPI Consortium.
“We have Open Memory Interface technology that provides increased bandwidth but also reliability for memory,” Sibley said. “Memory is one of the common areas of failure in a system, particularly when you have lots of it.”
The new servers announced by IBM all use technology from the open-source OpenBMC project that IBM helps to lead. OpenBMC provides secure code for managing the baseboard of the server in an optimized approach for scalability and performance.
Among the new servers announced today by IBM is the E1050, which is a 4RU (4 rack unit) sized server, with 4 CPU sockets, that can scale up to 16TB of memory, helping to serve large data- and memory-intensive workloads.
S1014 and S1024
The S1014 and the S1024 are also both 4RU systems, with the S1014 providing a single CPU socket and the S1024 integrating a dual-socket design. The S1014 can scale up to 2TB of memory, while the S1024 supports up to 8TB.
Rounding out the new services is the S1022, which is a 1RU server that IBM is positioning as an ideal platform for OpenShift container-based workloads.
Bringing more Power to AI and ML
AI and ML workloads are a particularly good use case for all the Power10 systems, thanks to optimizations that IBM has built into the chip architecture.
Sibley explained that all Power10 chips benefit from IBM’s Matrix Match Acceleration (MMA) capability. The enterprise use cases that Power10-based servers can help to support include organizations that are looking to build out risk analytics, fraud detection and supply chain forecasting AI models, among others.
IBM’s Power10 systems support and have been optimized for multiple popular open-source machine learning frameworks including PyTorch and TensorFlow.
“The way we see AI emerging is that a vast majority of AI in the future will be done on the CPU from an inference standpoint,” Sibley said.
VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn more about membership.
Mon, 11 Jul 2022 23:01:00 -0500Sean Michael Kerneren-UStext/htmlhttps://venturebeat.com/2022/07/11/ibm-extends-power10-server-lineup-for-enterprise-use-cases/Killexams : IBM acquires Databand.aiNo result found, try new keyword!IBM recently announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including ...Sat, 16 Jul 2022 04:04:00 -0500en-phtext/htmlhttps://www.msn.com/en-ph/news/money/ibm-acquires-databandai/ar-AAZE6QGKillexams : IBM Goes Big On Data Observability With Databand.ai Acquisition
IBM expects that Databand.ai, along with IBM Observability by Instana APM and IBM Watson Studio, will help position IBM to address the full spectrum of IT data observability to find bad data issues and resolve them before they impact a customer’s operations.
IBM Wednesday unveiled the purchase of Databand.ai, an Israel-based developer of a proactive data observability platform, which claims to catch bad data before it impacts a customer’s business.
Financial details of the acquisition, which actually closed June 27, were not disclosed by IBM.
The term “data observability,” as defined by Databand.ai, is the blanket term for understanding the health and the state of data in a system that allows a business to identify, troubleshoot, and resolve data issues in near real-time.
Observability helps not only describe a problem for engineers, but also provides the context to resolve the problem and look at ways to prevent the error from happening again, according to Databand.ai.
“The way to achieve this is to pull best practices from DevOps and apply them to Data Operations. All of that to say, data observability is the natural evolution of the data quality movement, and it’s making DataOps as a practice possible,” the company said.
IBM expects Databand.ai to strengthen its data, AI, and automation software portfolio to ensure trustworthy data goes to the right user at the right time. The company also expects the acquisition to help Databand.ai take advantage of IBM’s own R&D investments and other IBM acquisitions.
IBM, citing Gartner, said that poor data quality costs organizations an average of $12.9 million every year while increasing the complexity of data ecosystems and leading to poor decision making.
That makes this an exciting acquisition, said Mike Gilfix, vice president of product management for data and AI at IBM.
“Bad data is expensive,” Gilfix told CRN. “We’re excited about the fast-growing data observability market. We know when data stops, companies lose business. If you depend on data to run your company, and that data is corrupt or has other issues, we want Databand.ai to help find the issues and resolve them faster.”
Databand.ai is part of a three-legged way to bring observability to businesses, Gilfix said.
Databand.ai is focused on data observability, and is important to ensuring that data pipelines work as promised, he said.
For IBM, Databand.ai is also an important component in a data fabric, which Gilfix defined as an architectural approach that enables consumers of data including engineers to access data, discover it, catch it, build data pipelines, and protect data across multiple data silos, Gilfix said.
“Many companies struggle with data silos,” he said. “A data fabric is a good way to connect those silos together.”
IBM’s channel partners are an important part of the company’s observability business, and the way they sell Databand.ai will be no different once it is integrated, Gilfix said.
“The channel is a big part of our business,” he said. “We believe a rich ecosystem is critical. Partners add expertise, make sure customers are successful, and bring in their own value adds to be even more successful.”
Joseph F. Kovar is a senior editor and reporter for the storage and the non-tech-focused channel beats for CRN. He keeps readers abreast of the latest issues related to such areas as data life-cycle, business continuity and disaster recovery, and data centers, along with related services and software, while highlighting some of the key trends that impact the IT channel overall. He can be reached at email@example.com.
Wed, 06 Jul 2022 10:38:00 -0500entext/htmlhttps://www.crn.com/news/data-center/ibm-goes-big-on-data-observability-with-databand-ai-acquisitionKillexams : 3 Stocks to Watch Next Week: IBM, Netflix, Tesla Motors
This website is using a security service to protect itself from online attacks. The action you just performed triggered the security solution. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data.