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IBM To Boost African Agribusiness with Blockchain

IBM Education Quantum

IBM Quantum Learning expands its global quantum education efforts with a new platform and a comprehensive open-access library.

IBM Quantum Learning has completed the first stage of its transfer to the new IBM Quantum Platform on  IBM Cloud, as part of its ambition to democratise quantum education. This strategic move improves instructional materials and underlines IBM's longstanding commitment to the quantum community and making quantum education accessible to all.

IBM has spearheaded open quantum education since 2016 when it launched a cloud-based quantum computer. IBM is now offering the global quantum community full access to its learning library as the world moves towards quantum advantage. Olivia Lanes, Borja Peropadre, Abby Mitchell, and Robert Davis recommend this as a beginning step to universal quantum literacy and skill development.

The new IBM Quantum Platform simplifies material discovery, access, and interaction in a more user-friendly learning environment. This new interface promotes user involvement with IBM Quantum's most advanced features. In this comprehensive infrastructure revamp, IBM Quantum Platform, including IBM Quantum Learning, was centralised at IBM Quantum Platform on July 1, marking the sunset of the original IBM Quantum Platform.

The growing variety of tutorials and courses Open Plan users can use to learn basics is a crucial factor. Quantum Diagonalisation Algorithms is a new course. In this course, sample-based diagonalisation and Krylov subspace algorithms are used to uncover quantum advantage in near-term technology. This focus on real-world applications emphasises IBM's goal of users demonstrating quantum advantage on IBM technology.

Qiskit classroom modules and more open-access courses and tutorials are available from IBM Quantum. This cutting-edge, educator-focused resource is flexible and can quickly integrate quantum computing into existing classrooms without requiring teachers to construct new curricula. Students can use Qiskit to explore basic computer science and quantum physics ideas in each module's independent Jupyter notebook.

Flexible modules that take one to two hours to complete offer several learning opportunities, including:

Clear explanations of main ideas

Qiskit coding examples and practise

Check-in questions and video lectures are optional.

Smooth integration into educational frameworks

IBM keeps consumers informed as quantum technology evolves swiftly. Some of the more advanced features and capabilities need a lot of Quantum Processing Unit (QPU) time, but Open Plan users can learn with the new courses and content. Users on the Premium, Flex, Pay-As-You-Go, or Dedicated Service Plans will benefit most from hands-on access to IBM's latest systems and extensive experimentation.

IBM has long offered free, high-quality instructional resources to clients, partners, and consumers to promote large-scale, fault-tolerant quantum computing. These individuals will likely demonstrate quantum advantage on IBM hardware for the first time.

IBM Quantum Composer, most learning courses and tutorials, and a new GitHub feedback mechanism for content recommendations and issue reporting are all available on the new platform.

The IBM Quantum education team has ambitious goals for 2025 and beyond. Event replays from webinars and major conferences like the Quantum Developer Conference may return later this year along with new lessons, courses, and video content. The quantum education team remains dedicated to providing high-quality, accessible quantum education.

In Texas, everything is larger, even the footprint of the IBM Cloud Network. The tenth data center for IBM Cloud, which supports its virtual private cloud (VPC) operations, opened its doors today in Dallas, Texas. The fourth availability zone in the Dallas, Texas, IBM Cloud area is DAL14, the most recent addition. It is an addition to the current configuration, which consists of one federal data center, two network points of presence (PoPs), and one single-zone region (SZR).

DAL14

DAL14, the fourth availability zone (AZ) in the Dallas, Texas, region, is the newest addition to IBM Cloud.

The new availability zone in IBM Cloud’s Dallas area, DAL14, provides companies with a number of important advantages:

Enhanced Resilience: By dispersing applications and services over several zones, users can create highly resilient architectures using the four availability zones (including DAL14). In the event that a failure occurs in any one zone, this lowers the chance of downtime.

Scalability: In order to accommodate traffic spikes and demand surges without sacrificing performance, IBM Cloud users can scale workloads across several availability zones, including DAL14.

Data Redundancy: By offering a second geographic location inside the same region, DAL14 improves the choices for data redundancy. Ensuring that data is replicated and kept in a safe, remote location is essential for applications that need disaster recovery.

Low Latency: Dallas-area users can now execute and store data closer to their consumers by integrating DAL14. This improves response times and lowers latency, particularly for applications that need to process data quickly and in real-time.

Support for Hybrid Clouds: DAL14 facilitates the use of IBM Cloud’s security and flexibility to enable businesses to integrate cloud resources with on-premises data centers.

Strict regulatory and compliance criteria are followed by IBM Cloud, and the new zone will continue to provide strong security standards with firewall protections, encryption, and other security measures.

With this expansion, IBM Cloud’s overall capabilities in North America are strengthened, offering organizations more alternatives and flexibility when developing and implementing their cloud infrastructures.

The facility is built to support the utilization of enterprise-grade cloud computing workloads, including generative AI, secret computing, large-scale in-memory databases, and high-volume online applications with fluctuating traffic peaks.

According to Jay Jubran, Director of IBM Cloud Product Management Infrastructure Services, “the new state-of-the-art DAL14 expansion zone is a testament to our VPC growth providing additional capacity for our clients in the Dallas region and a commitment to our delivery of advanced networking solutions.” “Our customers can expand their workloads in IBM Cloud with peace of mind when they invest in our data centers.”

Refresher on terminology: zones, regions, and IBM Cloud VPC

Built on an extremely secure and robust software-defined network (SDN), IBM Cloud VPC allows you to create separate private clouds for your business needs while still enjoying the adaptable advantages of a public cloud. You select the processing, storage, and networking resources you need, and IBM Cloud offers hyperscalability and optimal availability.

Let’s take a brief look at the fundamental ideas behind zones and regions as they relate to IBM Cloud VPC setups.

Region: An abstraction associated with the geographical area where a virtual private cloud (VPC) is installed is called a region. There are several zones, or separate fault domains, within each area. A VPC can cover more than one zone in the designated area.

Zones: A zone is a physical representation of a data center that houses network, compute, and storage resources as well as the associated power and cooling systems. It also offers services and applications. To reduce latency, enhance fault tolerance, and remove shared single points of failure, zones are segregated from one another. Applications and databases are intended to be highly available, fault tolerant, and scalable through the use of availability zones.Image credit to IBM

Dallas’s cloud industry has a bright future

The Texas data center market has been expanding, and it doesn’t seem like it will slow down any time soon, much like the number of businesses relocating to the state. The Dallas data center market is estimated by Moder Intelligence to be worth 419.64 MW this year, and over the next five years, it is expected to increase at a compound annual growth rate (CAGR) of 12.7% to 941.92 MW.

The report’s market trends list COVID-19, the need for hyperscalability, the demand for hybrid clouds, and the growing acceptance of AI as some of the causes driving up cloud computing demand in Dallas.

As the amount of data generated in Dallas increases in sectors including government, financial services, telecom, and healthcare, IBM Cloud hopes to increase its networking presence in the region in response to customer and business partner requests.

DAL14’s solutions for IBM Cloud VPC

Additionally, the complete IBM Cloud VPC line will reside in DAL14. Every affordable choice is designed to meet specific needs for platform as a service (PaaS), infrastructure as a service (IaaS), and hybrid cloud, including x86 with 4th Gen Intel Xeon processing capability, VMware, SAP, and IBM Z.

For example, IBM Cloud Virtual Servers, a portfolio that includes recent news on using Intel Gaudi 3 AI accelerators, will be housed at the new multizone region (MZR) site. IBM Cloud Direct Link, IBM Cloud Block and File Storage, IBM Cloud Bare Metal Servers for VPC, and other features will also be supported. With seven MZRs in all and eighteen availability zones constructed to specification for fast access, low latency, low cost migration, and certified security, the complete range is global in scope.

Resiliency, performance, security, and compliance are at the heart of IBM Cloud’s commitment to supporting clients and enterprises who are expanding their operations to Dallas and other metro areas in the greater southwest region.

Cloud-Based Enterprise AI from Intel and IBM. To assist businesses in scaling AI, Intel and IBM will implement Gaudi 3 AI accelerators on IBM Cloud.

Gaudi 3 AI Accelerator

The worldwide deployment of Intel Gaudi 3 AI accelerators as a service on IBM Cloud is the result of an announcement made by IBM and Intel. Anticipated for release in early 2025, this product seeks to support corporate AI scalability more economically and foster creativity supported by security and resilience.

Support for Gaudi 3 will also be possible because to this partnership with IBM’s Watsonx AI and analytics platform. The first cloud service provider (CSP) to use Gaudi 3 is IBM Cloud, and the product will be offered for on-premises and hybrid setups.

Intel and IBM

“AI’s true potential requires an open, cooperative environment that gives customers alternatives and solutions. are generating new AI capabilities and satisfying the need for reasonably priced, safe, and cutting-edge AI computing solutions by fusing Xeon CPUs and Gaudi 3 AI accelerators with IBM Cloud.

Why This Is Important: Although generative AI may speed up transformation, the amount of computational power needed highlights how important it is for businesses to prioritize availability, performance, cost, energy efficiency, and security. By working together, Intel and IBM want to improve performance while reducing the total cost of ownership for using and scaling AI.

Gaudi 3

Gaudi 3’s integration with 5th generation Xeon simplifies workload and application management by supporting corporate AI workloads in data centers and the cloud. It also gives clients insight and control over their software stack. Performance, security, and resilience are given first priority as clients expand corporate AI workloads more affordably with the aid of IBM Cloud and Gaudi 3.

IBM’s Watsonx AI and data platform will support Gaudi 3 to improve model inferencing price/performance. This will give Watsonx clients access to extra AI infrastructure resources for scaling their AI workloads across hybrid cloud environments.

“IBM is dedicated to supporting Intel customers in driving innovation in AI and hybrid cloud by providing solutions that address their business demands. According to Alan Peacock, general manager of IBM Cloud, “Intel commitment to security and resilience with IBM Cloud has helped fuel IBM’s hybrid cloud and AI strategy for Intel enterprise clients.”

Intel Gaudi 3 AI Accelerator

“The clients will have access to a flexible enterprise AI solution that aims to optimize cost performance by utilizing IBM Cloud and Intel’s Gaudi 3 accelerators.” They are making possible new AI business prospects available to their customers so they may test, develop, and implement AI inferencing solutions more affordably.

IBM and Intel

How It Works: IBM and Intel are working together to provide customers using AI a Gaudi 3 service capability. IBM and Intel want to use IBM Cloud’s security and compliance features to assist customers in a variety of sectors, including highly regulated ones.

Scalability and Flexibility: Clients may modify computing resources as required with the help of scalable and flexible solutions from IBM Cloud and Intel, which may result in cost savings and improved operational effectiveness.

Improved Security and Performance: By integrating Gaudi 3 with IBM Cloud Virtual Servers for VPC, x86-based businesses will be able to execute applications more securely and quickly than they could have before, which will improve user experiences.

What’s Next: Intel and IBM have a long history of working together, starting with the IBM PC and continuing with Gaudi 3 to create corporate AI solutions. General availability of IBM Cloud with Gaudi 3 products is scheduled for early 2025. In the next months, stay out for additional developments from IBM and Intel.

Intel Gaudi 3: The Distinguishing AI

Introducing your new, high-performing choice for every kind of workplace AI task.

An Improved Method for Using Enterprise AI

The Intel Gaudi 3 AI accelerators are designed to withstand rigorous training and inference tasks. They are based on the high-efficiency Intel Gaudi platform, which has shown MLPerf benchmark performance.

Support AI workloads from node to mega cluster in your data center or in the cloud, all running on Ethernet equipment you probably already possess. Intel Gaudi 3 may be crucial to the success of any AI project, regardless of how many accelerators you require one or hundreds.

Developed to Meet AI’s Real-World Needs

With the help of industry-standard Ethernet networking and open, community-based software, you can grow systems more flexibly thanks to the Intel Gaudi 3 AI accelerators.

Adopt Easily

Whether you are beginning from scratch, optimizing pre-made models, or switching from a GPU-based method, using Intel Gaudi 3 AI accelerators is easy.

Designed with developers in mind: To quickly catch up, make use of developer resources and software tools.

Encouragement of Both New and Old Models: Use open source tools, such as Hugging Face resources, to modify reference models, create new ones, or migrate old ones.

Included PyTorch: Continue using the library that your team is already familiar with.

Simple Translation of Models Based on GPUs: With the help of their specially designed software tools, quickly transfer your current solutions.

Ease Development from Start to Finish

Take less time to get from proof of concept to manufacturing. Intel Gaudi 3 AI Accelerators are backed by a robust suite of software tools, resources, and training from migration to implementation. Find out what resources are available to make your AI endeavors easier.

Scale Without Effort: Integrate AI into everyday life. The goal of the Intel Gaudi 3 AI Accelerators is to provide even the biggest and most complicated installations with straightforward, affordable AI scaling.

Increased I/O: Benefit from 33 percent greater I/O connection per accelerator than in H100,4 to allow for huge scale-up and scale-out while maintaining optimal cost effectiveness.

Constructed for Ethernet: Utilize the networking infrastructure you currently have and use conventional Ethernet gear to accommodate growing demands.

Open: Steer clear of hazardous investments in proprietary, locked technologies like NVSwitch, InfiniBand, and NVLink.

Boost Your AI Use Case: Realize the extraordinary on any scale. Modern generative AI and LLMs are supported by Intel Gaudi 3 AI accelerators in the data center. These accelerators work in tandem with Intel Xeon processors, the preferred host CPU for cutting-edge AI systems, to provide enterprise performance and dependability.

Cloud Sandboxes

Customers are invited to test the performance of 2nd and 4th generation Intel Xeon processors in a nonproduction environment using a new sandbox that uses IBM  Cloud Virtual Servers for VPC.

 Intel Cloud Virtual Servers and IBM Cloud Virtual Servers have launched a new custom cloud sandbox.

What is a cloud sandbox?

A cloud sandbox is a cloud infrastructure security feature that establishes a segregated testing environment. Users can securely launch programmes, run code, and test setups in this environment without affecting the system as a whole.

Resolving issues with performance in a testing setting

To fully comprehend the effectiveness of sophisticated apps running in your cloud hosting environment, performance testing is essential. Indeed, even in fully managed business settings such as IBM Cloud. Your compute strategy ultimately defines how performance is spread among your workloads, even while IBM can provide the newest hardware and software across global data centres built for optimum availability.

 Cloud sandboxes are useful since it’s important to understand your system’s performance characteristics before deploying to production. Without endangering vital resources, you can test and watch how a certain workload behaves in a segregated, non-production environment. Like the one IBM is releasing today, some cloud sandboxes concentrate on monitoring the memory, CPU, network, and I/O utilisation of your server. These kinds of cloud sandboxes can assist in figuring out how much money and processing capacity are needed for both short- and long-term execution. Let’s investigate the specifics.

Intel Xeon processor comparison on virtual servers using the new IBM Cloud sandbox

You may rapidly test and evaluate the workload performance characteristics of 2nd Gen Intel Xeon processors versus 4th Gen  Intel Xeon processors on IBM Cloud Virtual Servers for VPC using the new IBM  Cloud VPC sandbox. You have the option of deploying your own application for a fully customised evaluation or testing IBM system performance differences on preconfigured apps with preselected workload benchmarks. Using IBM Cloud Schematics and Terraform as the programming foundation, the IBM Cloud VPC sandbox is automated and operates on your IBM Cloud VPC account.

The virtual server resources you test are invoiced hourly and will belong to you. Therefore, after your testing is finished, it’s crucial to remove your virtual servers and application environment, just like in the majority of customer-managed cloud sandboxes. Benchmark tests can take as little as 30 seconds to a maximum of about 15 minutes, depending on your application environment. To enrol in their reimbursement programme and receive 100% of your expenses back in IBM Cloud credits, get in touch with IBM sandbox team.

Build, test, and destroy: options for IBM Cloud VPC sandbox applications

Huggingface, Presto, or a Monte Carlo simulation can be used as benchmarks while testing in the new IBM  Cloud VPC sandbox. Alternatively, you might bring your own (BYO) customised app.

Monte Carlo simulation: For financial workloads, the Monte Carlo simulation has emerged as the industry standard for analysing the statical patterns of huge, random data sets. The fundamental modelling strategy of the simulation is based on chance, just like in the casino game roulette. Applied within the IBM Cloud VPC sandbox on two distinct virtual servers, the default load settings generate numerical performance results through repeated random sampling. You may view the number of operations per second, memory usage, and CPU usage for every benchmark that is run on your virtual servers running both 2nd and 4th generation  Intel Xeon processors.

HuggingFace inference application: The IBM  Cloud VPC sandbox’s HuggingFace benchmark programme (version Optimum Intel with Pytorch) lets you run and test many natural language processing models on two widely used text categorization tasks: Bert-base-uncased and Roberta-base. This application is used for inference purposes. The performance dashboard will provide the model inference time for 100 iterations in milliseconds when you run the tests against your 2nd and 4th generation Intel Xeon-based virtual servers, allowing you to readily monitor the performance trend over time.

Presto data lake application: TPC-H query execution on Presto is crucial for decision support tasks in large-scale data lake systems and analytics. Second and fourth generation  Intel Xeon-based virtual servers are tested using IBM PrestoDB and TPC-H, the industry standard for data warehousing benchmarks, inside the IBM  Cloud VPC sandbox. Additionally, each test calculates query times in milliseconds.

Bring your own device (BYOD): Would you like to test the vCPU performance of our newest Intel Xeon processors with your own application? Not an issue. Using shell script formatting, you may quickly and simply upload your installer and runner file via the IBM Cloud VPC sandbox dashboard interface. Alternatively, you can configure IBM Cloud LogDNA for your application. For all performance benchmarks, Ubuntu 22.04 is used in each option. Once implemented, you can evaluate your 2nd and 4th generation  Intel Xeon-based virtual servers’ average, current, and maximum utilisation metrics.

Optimization, migration, and modernization of VMware workloads to AWS.

Based on strategy and results, IBM clients’ transformation journeys are unique. Businesses must ensure that its infrastructure supports strategic goals like cost optimization, performance improvement, and cloud adoption as technology and business needs change.

After Broadcom acquired VMware, VMware clients confront transformational decisions in a shifting marketplace. IBM Consulting understands. IBM Consulting can assist VMware clients succeed through a variety of hybrid cloud transformation pathways using its expertise. These include on-premises modernization, cloud modernization, containerization with cloud-native technologies, or a mix.

VMware Modernization Assessment is a Rapid Strategy and Assessment that explores VMware’s future paths to achieve business success and manage risk.

IBM Cloud For VMWare Regulated Workloads

IBM will discuss how IBM Consulting can help organizations who prefer AWS-based cloud-native solutions using AWS’s modern tools and cloud services in this blog.

AWS offers VMware a complete platform with cloud services, global infrastructure, and strong security. This method avoids hardware dependence, scalability issues, and high operational costs of on-premises infrastructure. Organizations can use AWS’s scalability, pay-as-you-go pricing, and wide range of services to construct VMware workloads to AWS.

Clients considering data centre (DC) exits want to cut costs and simplify operations while improving security, compliance, and innovation.

Data centre consolidation can be accelerated by moving from VMware to the cloud or hybrid. IBM Consulting provides data centre migration (DC exit), a comprehensive solution to help organizations efficiently and strategically migrate from their data centre infrastructure to their cloud of choice, including AWS. IBM’s generative AI and IBM–AWS collaborative investments enable scaled migration.

AWS Cloud migration scenarios

To build new capabilities, boost operational efficiency, and implement cloud-native architecture on AWS Cloud, enterprises can explore numerous scenarios to relocate and modernize VMware workloads to AWs:

Clients can move VMware VMs to AWS instances first. This requires rehosting apps on Amazon Elastic Compute Cloud (Amazon EC2) instances and maybe reconfiguring them for the cloud. After migration, organisations can modernise their applications to use AWS native services like Amazon RDS for database management, AWS Lambda for serverless computing, and Amazon S3 for scalable storage.

IBM’s container-first approach provides an end-to-end stack of solutions and services to satisfy modern organisations’ complex needs. From cloud infrastructure and AI to cybersecurity and data management, it covers it all. This product centres on ROSA and OpenShift Virtualization. These technologies demonstrate IBM’s commitment to flexible, scalable, and integrated business innovation and efficiency.

ROSA, EKS, and Amazon ECS on AWS Fargate may containerize workloads across the AWS Cloud to reduce vendor lock-in. Businesses can execute and manage containerized and virtual machine (VM) workloads on a single platform using Red Hat OpenShift virtualization.

Software as a service (SaaS): VMware applications can be migrated to AWS. The flexible, cost-effective, and efficient way to deliver software applications is SaaS.

Offered managed services: IBM is an AWS-certified MSP that can migrate VMware workloads to AWS managed services. AWS managed services automate and simplify cloud management. IBM services help organizations adapt and operate in the AWS Cloud with best practices, security, and compliance. Managed services let companies focus on their core business while IBM manages cloud infrastructure.

IBM Migration Factory speeds cloud migration

IBM understands AWS technologies from years of collaboration and expertise, enabling enterprise integration and optimisation. IBM provides a tailored strategy to meet clients’ needs.

AWS Migration Factory, based on IBM Garage Methodology, is a unique app modernization engagement approach from IBM Consulting. This squad-based, workstream-centric strategy uses gen AI and automation to scale rapid transformation.

The structured and efficient AWS Migration Factory framework migrates huge VMware workloads to AWS. Organizations may reduce risks, costs, and time for cloud migration by using automated technologies, best practices, and a phased strategy. The manufacturing speeds client engagements with cooperative incentive programmes.

IBM thoroughly evaluates the client’s VMware setup before migrating. This includes workload dependencies, performance metrics, and migration needs. Based on the assessment, a complete migration strategy should include timetables, resource allocation, and risk mitigation. The IBM Consulting Cloud Accelerator, IBM Consulting Delivery Curator, IBM Consulting developer experience platform, and IBM Consulting AIOps solutions help plan, design, and execute end-to-end migration and modernization journeys.

These assets are supported by IBM Delivery Central. Digitising and improving delivery procedures and providing real-time oversight, this end-to-end delivery execution platform transforms delivery. Powered by generative AI, these assets and assistants serve key personas’ consumption modes.

Other AWS tools and services for VMware workload migration include AWS Migration Hub. It accelerates and automates application migration to AWS, offering visibility, tracking, and coordination, incorporating AWS Application Migration Services.

IBM’s Generative-AI migration tools

IBM used Amazon Bedrock to create migration tools and assets. Using Amazon Bedrock and generative AI, this unique approach migrates applications and workloads to the cloud.

Service-based AI-powered discovery: Extracts crucial data from client data repositories to speed up application discovery.

Artificial intelligence-powered migration aid: Transforms natural language questions into SQL queries to retrieve application and server migration status from a centralised data lake (Delivery Curator) during migration.

Generative AI design assistant: Uses models like llama2 on Delivery Curator’s centralised data store and the design assistant to speed up design.

IBM helped a worldwide manufacturer move VMware workloads to AWS

Moving to AWS may save costs, scale, and innovate for companies. IBM assisted a worldwide consumer products manufacturer in migrating 400 applications to AWS in two years as part of its product strategy shift. To increase agility, scalability, and security, the customer moved to AWS.

The customer also needed to train personnel on new data handling techniques and the architectural transition. To achieve these goals, the customer moved their technology from on-premises to AWS, which improved business performance by 50% and saved up to 50% utilising Amazon RDS.

The range of IBM  Cloud Bare Metal Servers for Virtual Private Clouds is being shaken up by new 4th Gen Intel Xeon processors and dynamic network bandwidth.

With great pleasure, IBM is thrilled to announce that the fourth generation of Intel Xeon CPUs are now available on IBM  Cloud Bare Metal Servers for Virtual Private Clouds. IBM customers now have the ability to provision Intel’s most recent micro architecture within their very own virtual private cloud. This allows them to get access to a variety of performance benefits, such as increased core-to-memory ratios (21 new server profiles) and dynamic network bandwidth that is only available through IBM Cloud VPC. For those who are following track, that is three times as many provisioning options as their present Intel Xeon  CPUs, which are of the second generation. Take a look around.

Are these servers made of bare metal suitable for my needs?

In addition to having rapid provisioning, excellent network speeds, and the most secure software-defined resources that are accessible within IBM, IBM  Cloud Bare Metal Servers for Virtual Private Clouds are hosted on their most recent and developer-friendly platform. Every single one of your central processing units would be based on the 4th gen Intel Xeon processors, which IBM initially introduced on IBM  Cloud Bare Metal Servers for traditional infrastructure in conjunction with Intel’s day-one release product.

The traditional IBM Cloud infrastructure is distinct from the IBM Cloud Virtual Private Cloud. More suitable for large, steady-state, predictable activities that call for the highest possible level of customisation is this method. However, IBM Cloud Virtual Private Cloud is an excellent solution for high-availability and maximum elasticity requirements. Take a look at this brief introduction video to get a better understanding of which environment would be most suitable for your workload requirements.

The customisation choices available to you include five pre-set profile families, which contain your number of  CPU instances, RAM, and bandwidth, in the event that IBM  Cloud Bare Metal Servers for Virtual Private  Cloud turns out to be your preferred choice. What sets IBM Cloud apart from other cloud services is the fact that each profile provides you with DDR-5 memory and dynamic network bandwidth ranging from 10 to 200 Gbps. For tasks that require a significant amount of  CPU power, such as heavy web traffic operations, production batch processing, and front-end web servers, compute profiles are the most effective solution.

Balanced profiles are designed to provide a combination of performance and scalability, making them a great choice for databases of a moderate size and cloud applications that experience moderate traffic.

Memory profiles are most effective when applied to workloads that require a significant amount of memory, such as large cache and database applications, as well as in-memory analytics.

When it comes to running small to medium in-memory databases and OLAP, such as SAP BW/4 HANA, very high profiles are the most effective solutions.

Large in-memory databases and online transaction processing workloads are both excellent for ultra-high profiles because they offer the most memory per core.

For these bare metal servers, what kinds of workloads do you propose they handle?

Over the course of this year, IBM’s beta programme was exposed to a wide variety of workloads; nonetheless, there were a few noteworthy success stories that particularly stood out:

Building on top of IBM  Cloud, VMware Cloud Foundation These workloads required a high core performance, interoperability with VMware, licencing portability, a smaller core count variety, and a Generic operating system, which IBM just recently launched. In a dedicated location, they conducted tests for VMware managed virtual cloud functions (VCF) as well as build-your-own VMware virtual cloud functions (VCF).

They were happy with the customisation freedom and benchmark performance enhancements that backed up their findings. During the second half of the year, these workloads will be accessible on Intel Xeon profiles of the fourth generation within the IBM  Cloud Virtual Private Cloud.

With regard to HPCaaS, this workload was one of a kind, and IBM believe that it is a primary use case for this distribution. Terraform and IBM Storage Scale were used in their tests to see whether or not they could get improved performance. They were delighted with the throughput improvement and the agile provisioning experience between platforms and networking.

The task of providing financial services and banking necessitated both powerful and dedicated system performance, as well as the highest possible level of security and compliance. After conducting tests to determine capacity expansion, user interface experience, security controls, and security management, they were thrilled to find that production times had been reduced.

Beginning the process

In the data centres of IBM  Cloud Dallas, Texas, bare metal servers powered by 4th gen Intel Xeon processors are currently accessible. Additional sites will be added in the second half of the year 24. The IBM  Cloud Bare Metal Servers for Virtual Private Cloud catalogue allows you to view all of the pricing and provisioning options for their new 4th Gen Intel Xeon processors and save a quote to your account. As an alternative, you could start a chat and obtain some answers right now. Within their cloud documents, you can find more information by reading their getting started guides and tutorials.

Spend one thousand dollars in IBM Cloud credits

If you are an existing customer who is interested in provisioning new workloads or if you are inquisitive about deploying your first workload on IBM Cloud VPC, then you should be sure to take advantage of their limited time promotion for IBM Cloud VPC. By entering the promotional code VPC1000 within either the bare metal or virtual server catalogues, you will receive USD 1,000 in credits that may be used towards the purchase of your new virtual private cloud (VPC) resources. These resources include computing, network, and storage components. Only profiles based on the second generation of Intel Xeon processors and profiles from earlier generations are eligible for this promotion, which is only available for a limited period.