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HPE0-V14 study help - Building HPE Hybrid IT Solutions Updated: 2023
Supporting resources These recommended resources help you prepare for the exam:
Building HPE Hybrid IT Solutions, Rev. 19.41
Introduction to HPE SMB Hybrid IT Architectures, Rev. 19.41
This ATP certification validates a successful candidate has foundational knowledge and skills of the HPE infrastructure strategy, encompassing SMB server, storage, networking, and management tools and their underlying architecture technologies. Given a set of customer requirements and a solution design, implement the solution.
This exam has 60 questions. Here are types of questions to expect:
Multiple choice (multiple responses), scenario based
Multiple choice (single response), scenario based
Matching
Multiple choice (multiple responses)
Multiple choice (single response)
Drag-and-drop
Point and click
20% Describe, differentiate, and apply industry standard, foundational SMB architectures and technologies
Identify and explain industry standard IT technologies used in small and medium-sized solutions and their use cases
20% Recommend and position HPE products, solutions, and appropriate services for use cases
Given a use case, recommend the appropriate HPE products, solutions, and services to meet the business requirement
20% Evaluate customer environment, and plan and design solutions using the HPE portfolio to meet customer requirements
Identify and describe planning, design and sizing tools and when to use them.
Given customer requirements, design an HPE server solution to meet those requirements
Given customer requirements, design an HPE storage solution to meet those requirements
Given customer requirements, design an HPE network solution to meet those requirements.
Given customer requirements, design an end-to-end, small to medium-sized HPE solution to meet those requirements
20% Install, configure, and upgrade HPE solutions and their components and validate the implementation
Install physical solution systems including racking, power, and cabling connections
Given a solution, configure and validate the server, storage and/or networking components including integrating subsystems.
10% Troubleshoot and remediate HPE solution components
Identify the tools and methods to troubleshoot and remediate an HPE solution and when to use each tool and method
Analyze, troubleshoot, and remediate HPE solutions including component integrations (server, storage, and networking)
10% Manage, monitor, administer, and operate HPE solutions and their components
Manage HPE solutions and subsystems to ensure the solution continues to meet customer requitements
Building HPE Hybrid IT Solutions HP Solutions study help
killexams.com HPE0-V14 exam study guides are setup by our IT professionals. Killexams.com experts work out this comprehensive version of HPE0-V14 dumps contain real exam questions and answers. Everything is to make convenience for candidates on their road to certification. Memorizing these HPE0-V14 dumps and practice questions and forget to fail the exam.
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HPE0-V14
Building HPE Hybrid IT Solutions
https://killexams.com/pass4sure/exam-detail/HPE0-V14 Question: 65
What is a benefit of a NAS device?
A. SAS connectivity to hosts
B. dedicated file services
C. iSCSl Protocol services
D. shared Block Level access Answer: B Question: 66
What does StoreOnce use to allow independent software vendors (ISV) to be aware of the HPE StoreOnce Backup system and its capabilities without
emulation?
A. Recovery Manager Central
B. Catalyst Target
C. Virtual Tape Library
D. NAS Target Answer: B
Explanation:
https://h20195.www2.hpe.com/v2/GetPDF.aspx/c04328820.pdf Question: 67
A customer is moving a server from a co-location facility back into their existing data center to comply with new internal policies on data management Due to
budget constraints, the customer cannot purchase any additional switches and will need to use an existing end-of-row design with HPE FlexFabric switches
While the server will be installed six racks away from the switches, the total cable run with cable management Is expected to be 35 m.
Which component should be selected when designing the 10 Gbps connectivity option for the server?
A. QSFP28 Active Optical Cable
B. SFP+ 10G LC SR Transceiver
C. SFP+ Active Optical Cable
D. SFP+ Direct Attach Copper Cable
E. QSFP+ Active Optical Cable Answer: C Question: 68
A customer is purchasing a complete HPE solution that includes servers, storage, and networking. They need to leverage cloud storage for an off-site copy of
their data in case of disaster.
Which HPE solutions should you suggest? (Choose two.)
A. HPE MSA Storage
B. HPE StoreOnce
C. HPE Smart RAID
D. HPE StoreEver
E. HPE Nimble Storage Answer: B,E Question: 69
A customer needs a shared storage solution for a virtualization platform that will host a database application. The customer is considering an HPE Nimble
array.
Which feature would lead you to propose an HPE Nimble AF40 over an HPE 3PAR All Flash array?
A. Fibre Channel Connectivity
B. 10Gb iSCSI support
C. Supported by Infosight for predictive analytics
D. Predictable performance event with one failed controller Answer: D
Explanation:
Reference: https://h20195.www2.hpe.com/v2/GetPDF.aspx/a00008273enw.pdf
https://www.hpe.com/us/en/pdfViewer.html?
docId=a00043401&parentPage=/us/en/solutions/infosight&resourceTitle=HPE+InfoSight%3A+Artificial+Intelligence+for+autonomous+infrastructure+brochure Question: 70
Which feature in a block storage array eliminates redundant data through the process of using indexes that refer to the original set of data?
A. deduplication
B. compression
C. thin provisioning
D. thick provisioning Answer: A
Explanation:
Reference: https://searchstorage.techtarget.com/definition/data-deduplication Question: 71
Which web service uses baste CRUD operations performed on resources using HTTP Post, Get. Put. Delete, and Patch?
A. cURL
B. REST
C. CORBA
D. SOAP Answer: B Question: 72
A customer is subject to regulatory requirements and their data is highly sensitive.
Which HPE Smart Array feature addresses their need for an level of security for data stored inside their server?
A. Secure Encryption
B. SmartCache
C. Smart Battery backed-up write-cache
D. Rapid Parity Initialization Answer: A Question: 73
A client complains about systems reliability issues caused by their staff’s inability to identify the root cause of failures. The client’s lead administrator wants
to automatically send data from HPE OneView to additional listeners in the network.
What should you configure in HPE OneView to enable the external monitoring of the managed devices?
A. Configure a scope to include the listener.
B. Configure SNMP Trap Forwarding.
C. Configure scheduled reports to export the data to the listener.
D. Configure the listener as a managed device. Answer: B
Explanation:
Reference: https://h20195.www2.hpe.com/v2/getpdf.aspx/4AA5-3811ENW.pdf? Question: 74
Where would a customer go to run the SSD wear Gauge report on an HPE ProLiant server?
A. OneView Standard
B. UEFI System Bios
C. insight Diagnostics
D. Smart Storage Administrator Answer: D
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https://killexams.com/exam_list/HPDigital Feature: The Impact of AI on Industry
11/14/2023 11:50:00 AM
Hydrocarbon Processing (HP) had the opportunity to speak with Hiroshi Tanoguchi (HT), Vice President and Head of the Yokogawa Products Headquarters, Yokogawa Electric Corp., about the company’s autonomous control artificial intelligence (AI), how this was applied in a project with ENEOS Materials, and how safety is ensured in plant operations.
HP: Can you tell us about your group and how Yokogawa’s AI is being used?
HT: Yokogawa Products Headquarters’ main responsibility is field devices such as transmitters, flowmeters, as well as analyzers and PLCs. The autonomous control AI is also developed by our division. In a world first, this reinforcement learning-based AI technology—our Factorial Kernel Dynamic Policy Programming (FKDPP) algorithm—has been formally adopted at an ENEOS Materials chemical plant and is having a dramatic impact on industrial autonomy.
In this application, the AI controls the distillation operations that were beyond the capabilities of automation and which required manual control based on the judgements of experienced plant personnel. After a 1-yr verification process, our customer reported that the autonomous control AI was a robust system that achieved stable performance and optimum operation—the project leader at the ENEOS plant said that the system operates stably and is unaffected by seasonal changes, regular maintenance and repairs, and can save energy and reduce greenhouse gas (GHG) emissions. ENEOS is considering applying this AI to other types of processes and plants. Smart production like this will help plants strive for safety and stability to decarbonize operations and enhance competitiveness.
Note: According to Yokogawa’s Global End User Survey, 42% of respondents said that the application of AI to plant process optimization would have a significant impact on industrial autonomy in the next 3 yr.
HP: In this case, what does the FKDPP algorithm actually control?
HT: The control was implemented in parts of the chemical plant where operations must be controlled manually and operators must exercise judgement and input the variables themselves. Specifically, these included the part of the distillation column where Substances A and B, which have similar boiling points, are heated and separated. Let me explain how the control was implemented on the left side (FIG. 1). Optimum control by the AI keeps the liquid in the distillation column at an appropriate level to ensure that no off-spec products were produced. On the right side, at the same time, to save energy with the heating of the distillation column, the AI operated multiple valves to make maximum usage of the waste heat, while considering any rain, snow or other variable weather conditions that could disrupt the control state by sudden changes in atmospheric temperature.
FIG. 1. The scope controlled by the FKDPP algorithm in the ENEOS Materials chemical plant.
The AI achieved both high quality and energy savings despite substances with similar boiling points and efficiently extracted the desired Substance A in its ideal state. The refined products met strict quality standards and were officially shipped.
HP: What are some of the confirmed benefits from the 1-yr field test?
HT: Despite the external temperature change being about 40°C between summer and winter, no problems were observed and stable operation and high product quality were achieved. The FKDPP algorithm eliminated the production of off-spec products and reduced fuel, labor and other costs. It made efficient use of raw materials, achieved shipment standards, and reduced steam consumption and carbon dioxide (CO2) emissions by ~40%. It has also helped to decrease workloads, which helps to prevent human error, reduces mental stress levels and improves safety.
Even after modifications were made at the plant during a routine shutdown for maintenance and repair—and there were variations in raw material composition—the same AI control model remained in use.
HP: So, currently, what percentage of control points can be controlled automatically without relying on manual intervention?
HT: Although there are no accurate figures from surveys and such, we believe many customers feel the answer is around 50%–70%. Given the complexity of physical, chemical and other processes at operating plants, many areas still require the intervention of skilled operators: controlling these areas is often difficult and has a direct impact on product quality and profitability. Often, product quality is maintained by skilled operators performing onsite adjustments at such control points—if a skilled operator leaves, the quality of production can suffer. Autonomous AI can help in these areas that are still manually controlled.
HP: What are some merits for implementing autonomous control AI?
HT: Both autonomy and optimal control can be achieved, and the FKDPP algorithm, our autonomous control AI, suppresses overshoot and extends, for example, the lifetime of furnaces and other heating facilities by reducing unnecessary overheating. It achieves the right balance between conflicting requirements such as quality and saving energy.
There are steps for applying our autonomous control AI for control issues for very complex control areas, such as chemical plants. For this, we provide a consultation approach (FIG. 2). Step one, we generate an AI control model with a high-end plant simulator, then comprehensively evaluate the reliability and validity of the AI control model. After ensuring safety, you control an genuine plant.
For less-complex control areas such as devices in semiconductor plants, there is an autonomous control AI service. A control model is generated with affordable, versatile and simple simulators, then the reliability and validity of the AI control model is comprehensively evaluated. On the customer side, they ensure safety, embed the control module with the AI model, and initiate control.
FIG. 2. Steps for applying autonomous control AI in areas with control issues.
HP: Can you provide details of some of the features of autonomous control AI services?
HT: No advanced AI knowledge is required—even non-AI experts can create an autonomous control AI model and install it on an e-RT3 edge controller with the installation of the autonomous AI. Our autonomous control AI also supports control cycles as short as 0.01 sec.
We are preparing an environment to allow a greater variety of applications, depending on the number of inputs and outputs. We will offer simple general purpose simulations as well as an environment for remote control using 5G, cloud computing and edge controllers.
It is vital for management and operations to be aligned. By linking information of management targets to the cloud-based autonomous control AI, operations on the ground floor can be in line with management directives. This operational improvement can be performed autonomously around the clock, 365 d/yr.
Autonomous control AI can control the plant according to the output of the AI. Our next target is improvement point discovery AI. So, we collect the data from the plant—we have already begun such a feasibility study—and then we create this closed loop over plan-do-check-act (PDCA) and incorporate management targets in this loop.
Addressing control issues has a direct impact on environmental, social and governance (ESG) targets and sustainability management. We are solving customer issues through digital transformation and enabling disruptive innovation for many industries. Using the FKDPP algorithm, we offer products, consulting and—with our customers—are leading the way forward in decarbonization, digital transformation and the transformation toward industrial autonomy.
Our ability to measure and control is our core competence. By utilizing such core competencies, we will fulfill our responsibility for the future of our planet.
HP: So, not only does your AI use the sensor data to analyze the problem and present potential solutions, but it also creates new key performance indicators (KPIs) that can affect goals and strategies?
HT: We can collect data from the sensors and then analyze that data to achieve new KPIs, which will be input into the FKDPP algorithm. For example, we created an energy-saving KPI in our semiconductor factory. An improved energy-saving KPI is very difficult to create because the voltage or electricity volume depends on temperature or loading of the factory. So, we used the problem analysis AI and created the KPI for energy savings for each heater and cooler. We used this KPI input to perform autonomous control in reality. We can realize that energy savings control in our factory, this is one example.
HP: What are some of the problems that you have found that AI is not solving, and what are challenges in implementing AI?
HT: Safety is very challenging, and it is a paramount concern because our customers have critical infrastructure. This is one reason we ensure the reliability and the validity of the AI control model before implementation. Of course, many people doubt the ability of the AI, so we test properly and ensure safety—only then can we implement that AI into the plant. This is a challenge.
HP: Overall, are companies open to trusting their operations to AI?
HT: Actually, yes. We have capabilities and knowledge in information technology (IT) and operation technology (OT) convergence, but it is not enough for a customer just to have some trust in you. In the case of this success story, we assured the operators by ensuring safety with existing interlocks and other safety functions, and integrated the AI into the DCS operating system. We also Tested the model by referring to AI reliability validation evaluation guidelines that the Japanese government has created. Companies and customers refer to such a guideline, and conduct their own inspections and evaluations. Of course, we need some third-party guidelines to regulate what we can deliver and implement.HP: What effect will AI have on the workforce?
HT: Our opinion is that it will reduce operator workload. As an example, in the ENEOS Materials case, an operator performed many interventions (due to weather, etc.) and 24/7 manual intervention was required. But after implementing this autonomous AI, the operator did not need to do anything. A heavy workload limits the number of tasks a plant staff can accomplish. With AI performing some of these duties, personnel can turn their attention to tasks that add further value.
HP: Can you provide more information about the consulting and training program that you have rolled out first in Japan and then in other markets? Are you focused on certain markets or is your strategy more fluid?
HT: We are starting in Japan and are getting some inquiries from other countries as well as various industries. We are exploring many targets, and so are not restricted to any particular industry if the technology proves beneficial to them.
Hiroshi Tanoguchi is Vice President and Head of the Yokogawa Products Headquarters, Yokogawa Electric Corp. He has extensive experience in a wide range of operations in the control systems sector, including software development, cybersecurity, project delivery and lifecycle services. With 8 yr of experience in Singapore, and 3 yr as President of Yokogawa America do Sul overseeing and managing Yokogawa's business in South America, Tanoguchi is very familiar with the company's global business and the needs of customers in each region.
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Tropical Cyclone Freddy ravaged the southern Indian ocean for five weeks in February and March 2023, leaving a trail of destruction along coastal communities in the region. Among those most impacted by the disaster were children.
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by Owkin, Inc.
In a study published today in Nature Communications, a team of scientists from French-American techbio Owkin and pathology labs in France present a blind validation of MSIntuit CRC, a first-in-class AI-driven digital pathology diagnostic developed by Owkin, as a pre-screening tool aimed at optimizing the precision of diagnosis and treatment of colorectal cancer.
With almost two million new cases and one million deaths worldwide in 2020, colorectal cancer is the third most common cancer globally and second highest cause of cancer mortality.
Microsatellite Instability (MSI) is a key genomic biomarker in colorectal cancer and represents ~15% of the overall CRC population. recent clinical trials have shown that MSI phenotype has both prognostic and therapeutic importance, especially with the recent approval of immune checkpoint inhibitor (ICI) therapies.
Those patients whose tumors show MSI, are considered likely to respond to ICI therapy and recommended for it. Conversely, ICI is not routinely recommended for those with tumors that are microsatellite stable (MSS). As a result, MSI testing is now recommended by consensus guidelines across the globe as a guide to best therapy.
Owkin has developed MSIntuit CRC, the only CE-marked AI diagnostic for MSI testing for colorectal cancer from digital H&E slides, with the aim of streamlining this biomarker testing. Credit: Owkin, Inc.
Prescreening tools that can remove the need to test all patients offer the opportunity to streamline the process and reduce pressure on laboratory staff and resources.
Today's study reveals that MSIntuit CRC can accurately rule out nearly 50% of MSS patients, while correctly classifying more than 96% of MSI patients, on par with current gold standard methods (92-95%). Such new solutions pave the way for an optimized screening workflow to screen more patients, faster.
Meriem Sefta, Chief Diagnostic Officer at Owkin, said, "With the increasing number of biomarkers to be routinely tested in clinical practice, the need for tools that can both ease bottleneck and resource pressures while ramping up biomarker testing is paramount."
"Our solution represents the first step towards the development of an AI diagnostic that can identify actionable biomarkers from a single H&E slide used in clinical routine, pushing us closer to realizing a precision medicine future."
A major strength of the study is the blind validation of the model on 600 consecutive CRC cases diagnosed across nine different pathology labs in the span of two years, thus reducing risk of selection bias, thanks to Medipath, the largest pathology lab network in France. This validation was also carried out across two different pathology slide scanners and performed consistently with a sensitivity of 96% and 98% respectively.
This and other methodological approaches, such as the emphasis on sensitivity and specificity as performance markers, demonstrate a commitment to robustness of the AI model, all with the intention of ensuring the diagnostic is fit for clinical settings and generalizable across labs and geographies.
More information: Charlie Saillard et al, Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides, Nature Communications (2023). DOI: 10.1038/s41467-023-42453-6
Provided by Owkin, Inc.
Citation: Study validates AI diagnostic for colorectal cancer biomarker (2023, November 7) retrieved 17 November 2023 from https://medicalxpress.com/news/2023-11-validates-ai-diagnostic-colorectal-cancer.html
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Mon, 06 Nov 2023 18:17:00 -0600entext/htmlhttps://medicalxpress.com/news/2023-11-validates-ai-diagnostic-colorectal-cancer.htmlThe N2 Company Installs Two HP PageWide Advantage 2200 Presses
America’s leading niche magazine franchisor, The N2 Company, installs two HP PageWide Advantage 2200 presses to continue to uphold its mission which is to be a people-first company that builds a strong sense of community nationwide through its marketing services.
Based in Irving, Texas, The N2 Company is constantly seeking ways to bring value to its customers and help bring their brands to life. In fact, the company provides print, digital, and in-person marketing to over 25,000+ businesses across the United States.
Since its founding in 2004, The N2 Company has strived to deliver quality content with unmatched precision, vibrancy, and speed. By adopting two state-of-the-art inkjet presses and creating a facility in Irving, Texas, specifically dedicated to digital printing, the company has been able to uphold that initiative and provide an end-to-end experience, remain cost-efficient, bring people together through the art of print, and grow the business. The numbers speak for themselves: Just months after installation, The N2 Company quickly scaled to print over 20 million pages in a single month.
With two HP PageWide Advantage 2200 presses, The N2 Company has been able to take a more sustainable approach to its operations – HP provides a shipping label for the empty drums of ink where they can then be sent back and recycled. Additionally, knowing that the press leverages water-based inks to decrease the emission of volatile organic components during production was a key driver in adding these HP PageWide Advantage 2200s. Not only are these presses designed to meet worldwide regulatory requirements, but with these features, the company can focus on reducing its environmental footprint.
When speaking of the latest investment, Robb Hotchkiss, Director of Operations at The N2 Company said: “We are thrilled to introduce these game-changing presses. The quality, production time, and overall efficiency they offer has truly been invaluable for the growth, evolution, and broader strategy of the business.”
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The preceding press release was provided by a company unaffiliated with Printing Impressions. The views expressed within do not directly reflect the thoughts or opinions of the staff of Printing Impressions.
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Sponsored content
Tork®, from leading hygiene and health company, Essity, explores how using data can optimise performance and time management for individuals working with waste.
With hygiene and waste management processes in the spotlight following the COVID-19 pandemic, Tork® is exploring how data can help us to optimise worker performance through making operators’ use of time more efficient for both employers, and for them. Reducing waste in order to increase productivity is a core principle of keeping manufacturing lean, with data showing that reductions in motion and inventory waste can come from unexpected places. As a part of its work to better understand how to Boost manufacturing efficiency, Tork® conducted a study on this topic. The results revealed that the placement of wipers, if not optimised, can generate both motion and inventory waste as well as cause stress among workers.
In facilities and factories, 44% of machine operators are needlessly interrupted at least 20 times during their workday by having to fetch or dispose of wiping and cleaning products. Furthermore, Tork research showed that 74% of operators often take more wipers than needed for the task to avoid having to walk and fetch more each time, attempting to avoid interruptions yet unknowingly wasting more time.
The research also made apparent that efficient and effective processes in facilities had an impact on mental health and wellbeing. 69% of machine operators stated that they get stressed if they are interrupted in their work when they have a lot to do, while 90% of machine operators say that if they were provided with professional industrial wipers close by, it would help their workplace organisation and work satisfaction.
The findings illustrated the need for a service to help employers manage and measure travel and efficiency of cleaning and hygiene. Using this research, Tork® has created the free Tork® motion Waste Calculator. This online tool allows companies to check and measure the impact of ineffective wiper placement in their facilities, providing insight into how dispenser placement really impacts the daily work of operators. Through a series of short questions, the calculator will be able to estimate how many minutes operators waste per workday.
The solution to the problem is to place the wipers at the workstation so that the machine operators don’t have to walk any distance to fetch them. But as manufacturing environments are varied it can be difficult to find a solution that fits every company. That’s why Tork Performance® dispensers have been designed with a range of unique and flexible mounting options, allowing them to be placed where they are needed the most – within reach of the machine operator. This design feature effectively removes the root cause of the motion and inventory waste shown by the study.
“Thanks to our understanding of the manufacturing environment, we are in a position to not only help companies identify new sources of waste, but also to provide them with a solution to the problem. Our innovative products can help companies continuously Boost by reducing motion and inventory waste,” says Jenny Turner, Marketing Director – Industry at Tork.
The Tork brand offers professional hygiene products and services to customers worldwide ranging from restaurants and healthcare facilities to offices, schools and industries. Our products include dispensers, paper towels, toilet tissue, soap, napkins, and wipers, but also software solutions for data-driven cleaning. Through expertise in hygiene, functional design and sustainability, Tork has become a market leader that supports customers to think ahead so they’re always ready for business. Tork is a global brand of Essity and a committed partner to customers in over 110 countries. To keep up with the latest Tork news and innovations, please visit www.tork.co.uk
About Essity:
Essity is a leading global hygiene and health company. We are dedicated to improving well-being through our products and services. Sales are conducted in approximately 150 countries under the leading global brands TENA and Tork, and other strong brands, such as JOBST, Leukoplast, Libero, Libresse, Lotus, Nosotras, Saba, Tempo, Vinda and Zewa. Essity has about 46,000 employees. Net sales in 2019 amounted to approximately $13.5 billion. The company’s headquarters is located in Stockholm, Sweden, and Essity is listed on Nasdaq Stockholm. Essity breaks barriers to well-being and contributes to a healthy, sustainable and circular society. More information at www.essity.com.
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Mon, 13 Nov 2023 18:59:00 -0600text/htmlhttps://www.shponline.co.uk/advertorial/waste-not-want-not-tork-study-analyses-motion-and-inventory-waste-in-manufacturing-sites/Coimbatore City Municipal Corporation to construct two wells to tackle water stagnationNo result found, try new keyword!In view of this, the civic body has planned to find a permanent solution with the help of the ADB expert team.Sat, 11 Nov 2023 12:19:00 -0600en-ustext/htmlhttps://www.msn.com/Zeekr Hires Kimi Raikkonen To Help Make The 1,248-HP 001 FR Faster
The former F1 champion is Zeekr's new Chief Performance Adviser
October 26, 2023 at 11:30
It is not uncommon for automakers to ask well-known racing drivers to promote their models, but Zeekr took a step further by giving a more active role to Kimi Raikkonen. The F1 champion nicknamed “The Ice Man” was appointed Chief Performance Adviser at Zeekr.
According to the post on Zeekr’s official account on X, Raikkonen’s first task will be to make the Zeekr 001 FR “faster and stronger”. The 44-year-old Fin will assist Zeekr’s engineers in the fine-tuning of the chassis and powertrain of the EV, taking advantage of his vast experience in different fields of motorsports over the years. Besides posing for the camera in front of the EV, Raikkonen went as far as filming a 24-second video where he announced his new role while being in his signature emotional status.
The Zeekr 001 FR was introduced in September as the Chinese rival of the Tesla Model S Plaid and the Lucid Air Sapphire. The performance flagship of the 001 lineup comes fitted with quad electric motors producing an impressive 1,248 hp (930 kW / 1,265 PS) and sophisticated torque vectoring capabilities. All this power is combined with an aggressive carbon fiber bodykit, suspension by KW, and brakes by AP Racing. Zeekr promises a 0-62 mph (0-100 km/h) in 2.07 seconds as long as the test is performed with a rolling start.
Back to Kimmi Raikkonen, his racing career behind the wheel of F1 single-seaters started in 2001 and ended in 2021, with a two-year hiatus between 2010-2011. His greatest achievement was winning the championship with Ferrari in 2007, although he came close to winning more titles with two 2nd spots and three 3rd spots in the overall driver’s standings. Raikkonen has also competed in WRC and NASCAR proving his love for motorsports and fast cars.
The driver’s Wikipedia page mentions that he is known for “his reserved personality and reluctance to participate in public relations events”. Still, this won’t stop him from being present at the official launch event of the Zeekr 001 FR in Beijing, China scheduled for October 27. We expect to learn more about the performance-focused EV then. Besides China, Zeekr is also considering bringing the 001 FR to the European market.
Wed, 25 Oct 2023 23:30:00 -0500entext/htmlhttps://www.carscoops.com/2023/10/zeekr-hires-kimi-raikkonen-to-help-make-the-1248-hp-001-fr-faster/