#IBMCloud

[simple-logic]

#PollTime Which cloud platform do you use for managed middleware?

A) AWS ☁️ B) Azure 🔵 C) GCP 🌐 D) IBM Cloud 🌩️

Comments your answer below👇

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[govindhtech]

IBM Cloud’s DAL14 Boosts Hybrid Cloud And Data Redundancy

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.

Read more on govindhtech.com

[sifytech]

Introducing Nvidia's L4 GPU profiles in the cloud

For those who believe in independence from the cloud, and cloud services, Nvidia last month released Chat with RTX, a ChatGPT-style AI assistant that can run locally on a computer with an RTX graphics card. Read More. https://www.sify.com/ai-analytics/introducing-nvidias-l4-gpu-profiles-in-the-cloud/

[julierysava]

IBM's Cutting-Edge Innovations: Redefining the Future

In the fast-paced realm of technology, few names carry the weight and legacy of IBM (International Business Machines Corporation). With a history spanning over a century, IBM has consistently been at the forefront of innovation, ushering in new eras in computing and pushing the boundaries of what's possible. In this post, we'll delve into some of IBM's latest releases and how they're shaping the future of technology.

IBM Power Systems: Pioneering Performance

IBM Power Systems have long been synonymous with robust, high-performance computing. Designed to handle the most demanding workloads, the latest offerings in this series are nothing short of revolutionary.

IBM Power10

At the heart of IBM Power Systems' latest release is the Power10 processor. Built with a focus on security, scalability, and energy efficiency, the Power10 is a powerhouse designed for the hybrid cloud era. It offers a significant boost in performance, making it ideal for AI workloads, data-intensive tasks, and modern cloud-native applications.

The Power10's advanced security features, including transparent memory encryption and AI-driven threat detection, make it a top choice for enterprises looking to safeguard their data in an increasingly complex threat landscape.

IBM Quantum Computing: Unleashing Quantum Power

IBM's foray into quantum computing is nothing short of groundbreaking. Quantum computing has the potential to revolutionize industries ranging from pharmaceuticals to finance, and IBM is leading the charge.

IBM Quantum System Two

The IBM Quantum System Two is a testament to the company's commitment to making quantum computing accessible. With its 65-qubit processor, it offers researchers and businesses the computational power needed to tackle complex problems which were once thought impossible.

IBM's Quantum Hummingbird, a 65-qubit quantum computer, is already making waves in the scientific community. It provides the foundation for breakthroughs in quantum mechanics, cryptography, and materials science, paving the way for transformative advancements.

IBM Cloud: Navigating the Digital Frontier

In an era where data is the lifeblood of businesses, the cloud plays a pivotal role. IBM Cloud has been instrumental in helping organizations navigate the digital frontier.

IBM Cloud Satellite

IBM Cloud Satellite extends the power of IBM Cloud to any environment, whether it's on-premises, in a multi-cloud setting, or at the edge. It offers consistent cloud services and infrastructure, allowing businesses to deploy applications and services seamlessly across various locations.

This level of flexibility is invaluable for businesses with diverse computing needs, enabling them to harness the full potential of the cloud while maintaining control over their data and applications.

IBM Watson: AI for All

IBM Watson, the company's AI platform, continues to lead the way in artificial intelligence and machine learning.

Watson Discovery

Watson Discovery is a powerful AI-driven search and text analysis platform. It empowers organizations to unlock valuable insights from their unstructured data, making it easier to search through vast amounts of information and discover hidden patterns and trends.

The Future with IBM

IBM's latest releases underscore the company's commitment to innovation, performance, and security. Whether it's the game-changing Power10 processor, the groundbreaking Quantum System Two, the flexible IBM Cloud Satellite, or the AI-driven Watson Discovery, IBM continues to shape the future of technology.

As we move forward in the digital age, IBM remains a beam of innovation, offering solutions to empower businesses and researchers to tackle some of the world's most pressing challenges. The journey into the future with IBM promises to be an exciting one, as we witness the transformative potential of their cutting-edge technologies.

In conclusion, IBM's latest releases represent a convergence of innovation and practicality. They not only push the boundaries of what's possible in computing but also provide tools and solutions empowering businesses and researchers to thrive in an increasingly complex digital landscape. With a legacy built on innovation, IBM continues to shape the future of technology.

[impossiblegardenpeanut]

#AWS #Azure #GoogleCloud #OracleCloud #IBMCloud #DigitalTransformation #EnterpriseIT #CloudSolutions #AICloud #ProphecyTech

[groovy-computers]

🚀 Elevate your AI prowess with Intel's Gaudi 3 now on IBM Cloud! 🌐 Discover scalability & savings like never before within IBM's ecosystem. IBM Cloud makes the first-of-its-kind move to integrate Intel's Gaudi 3 AI accelerator, offering a cost-effective alternative to NVIDIA's options. Available in Frankfurt & Washington, D.C., with Dallas expansion set for Q2 2025. This launch, unveiled at Intel Vision 2025, promises enterprises a transformative AI experience. Gaudi 3 presents: - Standalone server control within IBM Cloud VPC 🌐 - Red Hat OpenShift AI for containerized environments arriving Q2 2025 🚀 - Seamless integration with watsonx.ai 🤝 Priced to challenge NVIDIA, Gaudi 3 combines power efficiency with secure, scalable AI solutions. Intel's strengthened position delivers innovations for generative AI workloads. Are you ready to transform your AI infrastructure? 🔧 #IntelAI #Gaudi3 #IBMCloud #TechInnovation #AIFuture #NVIDIAalternatives #EnterpriseTechnology #GenerativeAI #ScalableAI #CloudComputing #Watsonx #CostEffectiveness

[fromdevcom]

Data and artificial intelligence are two of the most prominent terms in this day and age. The rapid development of the technology surrounding data and AI has changed how we approach problems related to them. One of the best ways to deal with AI and data is with the help of cloud computing. Thanks to cloud computing, we can easily simplify a majority of tasks.One such fabulous cloud computing technology that offers the best solutions to dealing with both AI and data lakes is IBM Cloud. In this article, we will cover the basics of how to get started and comfortable with the IBM cloud environment and how to perform numerous applications and utilities. Some of the options available on IBM Cloud allow users to develop high-quality projects with ease. Let us begin by exploring these features and characteristics from scratch. Getting started on IBM Cloud is fairly easy due to the vast array of tutorials and video guides available on the internet. The IBM Cloud platform is also extremely user-friendly so that all users can develop and implement their project ideas. Do a simple Google search, and you will land upon the IBM Cloud website. Create your account or log in if you already have an account. Note that one of the prerequisites is that you must be at least sixteen years of age and must agree to follow their terms of use.Once you successfully log in to your account, you will come to the IBM Cloud dashboard. On this page, you will see a bunch of icons and functionalities that you can implement to build projects. Find the blue icon labeled ‘create a new resource’ towards the top-right corner of the window. Clicking the ‘create resource’ menu option will direct you to the following page. Here, you can select resource options like Cloud Foundry or the Watson Studio for performing your required functions and operations. I will quickly demonstrate how you can set up your Watson Studio. Click on the icon as shown below to enter the next step of your creation process.  Click on Watson Studio, and you will be asked to choose your preferred plan depending on your monetary limits. I have chosen the free pricing option, which is suitable for most simple tasks. It is a great starting point for first-time users of the IBM Cloud services. However, we will use the IBM Cloud Command Line Interface (CLI) to perform these functions and build our data lake and object storage with Jupyter Notebooks and Watson Studio directly.Now, with the help of IBM Cloud’s object storage, data lakes, and Jupyter Notebooks, I will demonstrate how to perform the operations of data lakes and AI. We can utilize object storage and data lakes to store large quantities of information as raw data files. Once we link the query data to the object storage with SQL queries, we can implement the refining and analysis of the data in the Jupyter Notebooks of the IBM Watson Studio.Below are some code samples to get started with working on AI and data lakes. In the first few code blocks, we are implementing certain essential services to get started with the various functionalities. ibmcloud loginibmcloud target --cfLet us now initialize all the default groups for the working process. ibmcloud resource groupsibmcloud target -g The next few steps include creating all the necessary elements for operating on data lakes, object storage, and the Jupyter Notebooks. The first command will create the data lake in the cloud with the object storage features. The second command will create additional SQL queries to operate on the data. Finally, the third command will create the IBM Watson Studio. ibmcloud resource service-instance-create data-lake-cos cloud-object-storage lite globalibmcloud resource service-instance-create data-lake-sql sql-query lite us-southibmcloud resource service-instance-create data-lake-studio data-science-experience free-v1 us-southAfter this, you can work on uploading and working data elements by combining SQL queries with Jupyter Notebooks.  ConclusionIn this article,

we have discussed the high potential that IBM Cloud holds for solving problems related to AI and data science. It offers numerous tools and technologies to users to explore and build high-level projects. The best part about working with IBM Cloud is that there are many tutorial guides, certifications, and resources available to each individual to benefit from and utilize.For further information and reading, I recommend checking out a few article resources. You can check out articles on working with object storage and Jupyter Notebooks to gain more insight into how you can handle data objects. I also highly recommend checking out the reference article on the IBM Cloud Data Lake website to understand this topic better. You can also check out an IBM Cloud YouTube series.

[alphonic-in]

IBM Watson Text Analytics: An Indispensable Tool For Data

IBM Watson Text analytics is an indispensable tool that helps to convert the unstructured data into something understanding and meaningful. The text analysis is the way to measure the statistical and machine learning techniques. The Watson Text analytics by IBM gives the user a tool that serves in simplifying the algorithms of big data and converting them into the simplified language.

Features of IBM Watson Text Analytics

Uncovers the insight of diverse data

The IBM Watson text analytics aids in uncovering the various structured and unstructured data by extracting them. It analyses the mega-data by using the contents, keywords, entities, and categorical relations of the data.

Understanding the emotions

Watson text analytics is a natural language generator. It understands the human language and reciprocates in the same manner to help the user in analyzing the big data. It has the capacity to understand the sentiments and emotions attached to a document and read them on the basis of keywords. The IBM Watson text analytics not only reads the data with emotion and but has the capacity to deeply analyze them and reciprocate to the users.

Multiple languages

The Watson text analytics understands around nine different languages through the IBM Watson knowledge studio. This is a major factor since most of the text analytics is not capable in this field.

Customised models

With the help of Watson knowledge studio, the NLU uses custom models to extract relationship and collaborate without having a single line of code. The models are easily deployed to identify the various industries and understand the unstructured data.

New pricing

The Watson knowledge studio has a simplified pricing structure to easily deploy the custom models in the various file. A user can easily track the usage of the text analytics and know how much to spend on the functioning.

Why should you use Watson Text Analytics?

Otherwise known as Natural language understanding (NLU), the Watson text analytics a huge platform for human interactivity. The platform not only solves the problems but also offers a cost-effective solution by reading the documents and data. The analytics software gives a cognitive approach to access the data which was till today only available to the data experts.

The IBM Watson text analytics is a major platform to analyze the sentiments and the business intelligence using the natural language with ease. It helps in automation of business functions, and developing advertisements for retailers as well.

For more information visit www.alphonic.in or call at +91 9887133338 , drop an email at info@alphonic.in

[iserveradmin01]

Search engine optimization is the method of skyrocketing the standard and quantity of web site traffic by increasing the visibility of a web site or an internet page to users of an internet computer program. SEO refers to the development of unpaid results and excludes direct traffic/visitors and also the purchase of paid placement

[chivian-technology]

Scenes from the digital transformation conference with @ibm , @cyberspacenaija delegates from different parastatals in the federal capital. #ibmcloud #ibmwatson #ibmcloudpakfordata #digitaltransformation #machinelearningengineer #machinelearning #datageek #pythonprogrammer #analytics #instaleadership #instamemories #instatech #instatechnology https://www.instagram.com/p/CmCyOC1tosb/?igshid=NGJjMDIxMWI=

[govindhtech]

IBM And Intel Introduce Gaudi 3 AI Accelerators On IBM Cloud

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.

Read more on govindhtech.com

[coindelite-blog]

IBM To Boost African Agribusiness with Blockchain

To read more latest news visit: https://coindelite.com/

[danielmartindiaz]

Thanks to @CurseMackey for reaching out to do this skateboard exhibition for @TonyHawk and @IBM #vmworld2018 #ibmcloud @birdhouseskateboards Contact Curse for more info.

[globalknowledgetechnologies]