#privatecloud

[comsky-cloud]

ComSky Private Cloud Solutions – Secure, Scalable, and Reliable

Looking for a cloud environment tailored to your business needs? ComSky’s Private Cloud Solutions offer you a secure, scalable, and fully customizable infrastructure. Unlike public clouds, our private cloud gives you dedicated resources, ensuring better performance, data security, and compliance. Whether you’re a growing business, an enterprise, or managing sensitive operations, ComSky delivers flexible configurations, 24/7 monitoring, and enterprise-grade security. Enjoy full control over your cloud with personalized support, seamless scalability, and cost-effective plans. Our expert team helps you migrate, manage, and optimize your private cloud environment effortlessly. Protect your data, streamline your operations, and drive innovation with ComSky — your trusted partner for private cloud solutions. Experience the next level of cloud computing with ComSky today.

Explore more at ComSky Cloud Solutions and start your cloud journey with confidence!

[simple-logic]

#DidYouKnow

These Cloud Security Best Practices?

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[luckycreationinfluencer]

Pinakastra Computing Private Limited

Founded in 2021 in Bangalore, Karnataka, India, Pinakastra Computing specializes in Private cloud infrastructure and hyperconverged infrastructure (HCI), offering innovative cloud solutions for enterprises, academia, and research organizations. Our Pinaka ZTi™ cloud platform integrates advanced hardware and software to deliver scalable, efficient, and secure private cloud solutions. Pinakastra aims to fill the gap in India’s enterprise tech ecosystem by offering alternatives to global cloud providers. We focus on addressing the growing demand for VM & Container based AI/ML workloads with modular, cost-efficient, and scalable solutions, aspiring to become a global leader in cloud infrastructure.

https://pinakastra.com/

[cloudcomputingbenefits]

Benefits of Cloud Computing

Cloud computing has revolutionized the way organizations handle data, whether it is storing or processing data. Now that the world is moving towards digitalization, cloud computing is playing an important role. In this article, we will explore some of the benefits of cloud computing. 

Scalability --Fluctuating Workload: As organizations’ demands fluctuate from time to time, cloud computing offers to adjust their IT resources by scaling up or down as per their demands. This plays an important role in saving costs and using IT resources as necessary. Now, organizations don't have to think about the limitations of their physical infrastructure; rather, they can access unlimited storage, computing power, and IT resources as per their demand. --Switching Storage Options: The organization can choose any storage option, Public, Private, or Hybrid, and can also change these options according to its demands. This is particularly beneficial for start-ups as they can start small in their uncertain growths. Now they can start small-scale rapidly as per their evolving needs.

Elasticity --Resource Control: Cloud computing offers unparalleled elasticity. It allows organisations to maintain performance without overprovisioning resources. This also allows organizations to deploy new applications, which can help innovate and respond to market changes. AceCloud is an OpenStack-based cloud that assesses resource usage, views active virtual machines, and helps gain visibility. --Adaptation of Changes: An organization might use cloud-based databases, virtual machines, and machine learning tools, all from a single provider, which can help get a customized solution for their changing needs. This allows organizations to adapt to changing requirements and take advantage of the latest technologies. --Choices Control: Organisations can choose the control level with IAAS, SAAS, or PAAS.

Cost Efficiency Pay-as-you-go: Cloud computing's biggest benefit is cost efficiency. It is a pay-as-you-go model, i.e., organisations pay only for the resources they have consumed. Traditionally, businesses paid high fees for physical servers, data centers, and IT infrastructure, which included purchasing hardware, maintaining it, and assigning it to staff for management. However, this feature of cloud computing not only helps minimize upfront costs but also reduces maintenance expenses, which cannot be found in traditional storage methods. For example, with AceCloud, organisations can choose a pay-as-you-go option to rent servers, networks, VMs, OS, and other on-demand IT resources.  

Effective Collaboration --Real-time Data Access: Cloud computing allows a team to collaborate effectively regardless of its members' physical location. This service provides real-time access to data and applications, which helps in effortlessly communicating with partners, employees, clients, etc. --Anytime, Anywhere: A person who has access to the cloud can share files, conduct video conferences, and manage projects in a remote location, which increases efficiency and speeds up the decision-making process.

Disaster Recovery Disaster recovery and backup were very difficult in traditional methods of storage. companies relied on on-premises backup systems for backups and disaster recovery, which required high investments in purchasing and maintaining these resources. Sometimes, these resources would lead to hardware failure, human errors, natural disasters, etc., which are used to destroy the backup. --Easy Backup: Cloud computing is a totally different and easy approach for getting the backup. In cloud computing, data is stored in multiple locations to ensure its safety. Companies can ask their service providers to recover data. They will be easily provided with the backup in almost no time. This method is cost-effective and reliable. AceCloud is an OpenStack-based cloud service that builds redundant and scalable data storage. The stored data can then be used, retrieved, and modified. --Automated Backup: Cloud service providers offer automated data backup and recovery services, which help organizations restore data quickly on their own.

Security In the era of increasing cyber threats, security has become the top issue for all-sized business organizations. Traditional methods make security difficult to achieve. --Data Encryption: Cloud providers are investing heavily in the security of client data and offering a multi-layered approach to security that includes encryption, access controls, and continuous monitoring of data transitions. --Threat Detection Tools: Cloud providers often offer advanced threat detection tools to identify and eliminate potential security breaches. Organizations can also implement identity and access management controls, to ensure only authorized persons have access to data and applications. --High Security Standards: To gain organizations' trust, cloud providers also maintain security standards such as GDPR, HIPAA, etc., so clients can be confident that their data is being handled securely and according to necessary legal requirements.

Global Accessibility --Global Approach: Cloud computing helps organizations expand their business globally. Now, organizations can reach and serve their customers globally without the need for physical infrastructure. Most cloud providers offer data centers in multiple regions, which allows business to access their services closer to their users. --Multiple Data Centres: AceCloud has 10+ Data Centres. Organizations that have a diverse customer base or work in multiple countries can benefit from cloud computing, as it provides consistent experiences and essential services to users regardless of their location.

Environmental Sustainability --Reduced Carbon Footprints: As we talk about green earth, traditional methods lack sustainability. However, cloud computing is a greener technology than traditional IT methods. Carbon footprints and use of energy can be reduced to 90% by moving to cloud computing. --Energy Efficient: Traditional methods use a huge amount of energy to power and cool down their server. Cloud computing, on the other hand, uses advanced cooling techniques, renewable energy sources, and energy-effi cient hardware to minimise their carbon footprints and harm to the environment.

Quality Control Reduced Human Errors: Quality and consistent reporting play a crucial role in determining success. Sometimes, human error can be made, and incorrect data may be stored, or data may be absent, cloud computing reduces the risk. In cloud computing, the data is stored in one place and in a single format. So, with the same information, organizations can maintain consistency in data, have clear revisions on updates, and, more importantly, avoid human errors.

Automatic Software Updates Users don't have to wait to update the software or get the system updates installed. They don't have to contact the IT department for any updates to be installed. Cloud automatically refreshes and installs the updates, saving valuable time and money spent on an IT staff.  

Machine Learning and Big Data Cloud computing provides powerful tools for data processing and machine learning. Many services which help in performing analysis of big data are readily available on the cloud platforms. Now organisations can deploy AI/ML models without investing in extensive on-premises infrastructure.

Conclusion:

Cloud computing offers an array of advantages, from security to updates, flexibility, and sustainability. These enhance the quality of business. Organizations can stay updated and competitive in this new era of digitalization by choosing cloud computing.

[sifytech]

Six ways hosted private cloud adds value to enterprise business

With companies reclaiming control via cloud repatriation, models that involve private cloud, either as is or in tandem with public cloud, meet the needs of organizations in a cost-effective, agile, and controlled manner, offering immense peace of mind. Read More. https://www.sify.com/cloud/six-ways-hosted-private-cloud-adds-value-to-enterprise-business/

[govindhtech]

HPE Private Cloud AI With NVIDIA AI Computing Solutions

HPE Private Cloud AI NVIDIA AI Computing by HPE, a portfolio of jointly created AI solutions and go-to-market integrations that help businesses embrace generative AI more quickly, was unveiled today by Hewlett Packard Enterprise and NVIDIA.

One of the portfolio’s standout products is HPE Private Cloud AI, a first-of-its-kind offering that combines HPE’s AI storage, compute, and the HPE GreenLake cloud with the most extensive integration of NVIDIA AI processing, networking, and software to date. With the help of this solution, businesses of all sizes can create and implement generative AI applications in a sustainable manner while also saving energy and gaining flexibility. HPE Private Cloud AI comes with a self-service cloud experience with complete lifecycle management and is available in four right-sized configurations to handle a wide range of AI workloads and use cases. It is powered by the new OpsRamp AI copilot, which helps IT operations optimise workload and IT efficiency.

Through a combined go-to-market strategy that includes sales teams, channel partners, training, and a global network of system integrator that can assist businesses in a range of industries in managing complex AI workloads, such as Deloitte, HCLTech, Infosys, TCS, and Wipro, all NVIDIA AI Computing by HPE offerings and services will be made available.

NVIDIA founder and CEO Jensen Huang joined HPE President and CEO Antonio Neri in announcing NVIDIA AI Computing by HPE during the HPE Discover keynote. This announcement signifies the growth of a multi-decade collaboration and underscores the significant effort and resource commitment from both organisations.

“Fragmented AI technology provides too many dangers and impediments to large-scale industry adoption, yet generative AI has great promise for enterprise transformation and potentially threaten a company’s most valuable asset. its proprietary data,” Neri stated. “HPE and NVIDIA co-developed a turnkey private cloud for AI to unleash the immense potential of generative AI in the enterprise. This will enable enterprises to focus their resources on developing new AI use cases that can boost productivity and unlock new revenue streams.”

According to Huang, “as every industry rushes to join the industrial revolution, generative AI and accelerated computing are fueling a fundamental transformation.” “Together with HPE’s private cloud technology, NVIDIA and HPE have never before so thoroughly integrated Nvidia technologies, giving enterprise clients and AI professionals access to the most cutting-edge computing infrastructure and services to push the boundaries of AI.”

A Private Cloud AI portfolio co-developed by HPE and NVIDIA With HPE Private Cloud AI, enterprise risk from AI is managed while innovation and return on investment are accelerated through a unique cloud-based experience. The resolution provides:

Assistance with RAG AI workloads that use private data, inference, and fine-tuning. Enterprise control for requirements related to data security, privacy, and governance. Proven cloud computing background with ITOps and AIOps capabilities to boost output. Quick route to flexible consumption to take advantage of upcoming AI growth and opportunities. Data software stack and curated AI in HPE Private Cloud AI The NVIDIA AI Enterprise software platform, which includes NVIDIA NIM inference microservices, is the starting point for the AI and data software stack.

Production-grade copilot and other GenAI application development and deployment are streamlined and accelerated by NVIDIA AI Enterprise. Easy-to-use microservices for optimised AI model inferencing are provided by NVIDIA NIM, which is included with NVIDIA AI Enterprise. This allows for a seamless transition from prototype to safe deployment of AI models in a range of use cases.

With a unified control plane that offers adaptable solutions, continuous enterprise support, and trusted AI services like data and model compliance and extensible features that guarantee AI pipelines are in compliance, explicable, and reproducible throughout the AI lifecycle, HPE AI Essentials software complements NVIDIA AI Enterprise and NVIDIA NIM.

HPE Private Cloud AI provides a fully integrated AI infrastructure stack that includes NVIDIA Spectrum-X Ethernet networking, HPE GreenLake for file storage, and HPE ProLiant servers with support for NVIDIA L40S, NVIDIA H100 NVL Tensor Core GPUs, and the NVIDIA GH200 NVL2 platform in order to deliver optimal performance for the AI and data software stack.

HEP GreenLake Private cloud enables a cloud experience Thanks to HPE GreenLake cloud, HPE Private Cloud AI provides a self-service cloud experience. HPE Greenlake cloud services offer manageability and observability to automate, orchestrate, and manage endpoints, workloads, and data across hybrid environments via a single, platform-based control plane. Workload and endpoint sustainability measurements are part of this.

Observability of the OpsRamp AI infrastructure, HPE GreenLake cloud, and copilot assistance Observability and AIOps are provided to all HPE products and services through the integration of OpsRamp’s IT operations with HPE GreenLake cloud. The whole NVIDIA accelerated computing stack, comprising NVIDIA NIM and AI software, NVIDIA Tensor Core GPUs and AI clusters, NVIDIA Quantum InfiniBand and NVIDIA Spectrum Ethernet switches, is now observable with OpsRamp. IT managers may monitor their workloads and AI infrastructure in hybrid and multi-cloud settings by gaining insights to spot irregularities.

With a conversational assistant, the new OpsRamp operations copilot analyses massive datasets for insights using NVIDIA’s accelerated computing platform, increasing operations management productivity. In order to provide customers with a single service map view of endpoint security across their whole infrastructure and applications, OpsRamp will also interface with CrowdStrike APIs.

Use AI to speed up time to value and increase cooperation with international system integrators As part of their strategic AI solutions and services, Deloitte, HCLTech, Infosys, TCS, and Wipro announced their support of the NVIDIA AI Computing by HPE portfolio and HPE Private Cloud AI, with the goal of accelerating the time to value for enterprises in developing industry-focused AI solutions and use cases with evident business benefits.

Support for NVIDIA’s most recent GPUs, CPUs, and Superchips is added by HPE Server Hewlett packard enterprise The HPE Cray XD670 is perfect for LLM builders and supports eight NVIDIA H200 NVL Tensor Core GPUs. For larger models or RAG users, the HPE ProLiant DL384 Gen12 server with NVIDIA GH200 NVL2 is the best option. For LLM users seeking flexibility in scaling their GenAI workloads, the HPE ProLiant DL380a Gen12 server, which supports up to eight NVIDIA H200 NVL Tensor Core GPUs, is a great option. HPE will be ready to support the new NVIDIA Blackwell, NVIDIA Rubin, and NVIDIA Vera architectures in addition to the NVIDIA GB200 NVL72 / NVL2. Certified for NVIDIA DGX BasePOD and NVIDIA OVX systems, high-density file storage With its NVIDIA OVX storage validation and NVIDIA DGX BasePOD certification, HPE GreenLake for File Storage offers customers a dependable enterprise file storage solution for scaling up AI, GenAI, and GPU-intensive workloads. Regarding future NVIDIA reference architecture storage certification programmes, HPE will be a time-to-market partner.

Read more on Govindhtech.com

[samyupatnana]

The CSmart Choice: Exploring the Merits of a Cloud-Native SaaS Platform

Cloud agnostic - supports both private & public clouds.

A cloud-agnostic software platform that supports both private and public clouds offers the best of both worlds. It provides the security and control of private clouds, along with the scalability and cost-effectiveness of public clouds. This flexibility allows businesses to choose the right cloud deployment model based on their specific needs, enhancing efficiency, agility, and resilience. It also facilitates hybrid cloud strategies, ensuring optimal resource utilization and business continuity.

Csmart-Infographic-V10 (covalensedigital.com)

[anusha-g]

What is cloud technology, and how does it work?

Cloud technology refers to the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale. Essentially, cloud computing eliminates the need for organizations to own and maintain physical hardware and infrastructure to run their applications or manage their data.

Virtualization: Cloud providers use virtualization technology to create virtual instances of computing resources (such as virtual servers, storage, and networks) from physical hardware. This allows multiple users to share the same physical hardware while maintaining isolation and security.

Infrastructure as a Service (IaaS): In the IaaS model, cloud providers offer virtualized computing resources over the Internet. Users can rent virtual servers, storage, and networking infrastructure on-demand and pay only for the resources they consume, scaling up or down as needed.

Platform as a Service (PaaS): PaaS providers offer a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the underlying infrastructure. This includes tools for developing, testing, deploying, and managing applications.

Software as a Service (SaaS): SaaS providers deliver software applications over the Internet on a subscription basis. Users can access these applications through a web browser or API without needing to install or manage any software locally.

Public, Private, and Hybrid Clouds: Cloud services can be deployed in different deployment models:

Public Cloud: Services are provided over the Internet and shared among multiple users.

Private Cloud: Services are provisioned for a single organization and hosted either on-premises or by a third-party provider.

Hybrid Cloud: Combines public and private cloud environments, allowing data and applications to be shared between them.

Scalability and Elasticity: Cloud computing offers scalability, allowing users to quickly scale resources up or down based on demand. Elasticity refers to the ability to automatically provision and de-provision resources in response to workload fluctuations.

Pay-per-Use Billing: Cloud services are typically billed based on usage, allowing organizations to pay only for the resources they consume. This pay-as-you-go model can result in cost savings compared to traditional IT infrastructure, where resources may be underutilized.

Security and Compliance: Cloud providers implement robust security measures to protect data and infrastructure, including encryption, identity and access management, and compliance certifications. However, users are also responsible for securing their applications and data within the cloud environment.

[neoinfoway]

Cloud Computing Solutions | Transform Your Business Neo Infoway

Discover the power of cloud computing with our comprehensive solutions. Enhance scalability, security, and efficiency for your business operations. Explore now!

[fortunatelycoldengineer]

Virtualization in Cloud Computing . . . . for more information and a cloud computing tutorial https://bit.ly/4a9ymrG check the above link

[ashutosh4]

Categories of cloud servers

[simple-logic]

#PollTime How do you prefer your cloud storage solution?

A) Public Cloud 🌩️ B) Private Cloud 🔒 C) Hybrid Cloud 🛠️ D) Multi-Cloud Strategy 🌐

Comments your answer below👇

[cloudxonsocial]

Secure Your Data and Achieve Compliance with CloudXon's Private Cloud Services

Explore how CloudXon's private cloud services provide enhanced security, compliance, and data sovereignty for businesses operating in regulated industries. Discover more today!

[lisamurphybuzz]

Public Cloud, Private Cloud, and Hybrid Cloud are distinct models with unique features. Public Cloud offers scalability and cost-effectiveness through shared resources. Private Cloud provides enhanced security and control by utilizing dedicated infrastructure. Hybrid Cloud combines the benefits of both, allowing businesses to optimize performance and flexibility. Choose the right cloud model based on your organization's specific needs and priorities.

[sifytech]

TikTok parent company creates KubeAdmiral for Kubernetes

While Kubernetes is still the de-facto standard in container orchestration, a lot of people who work on it would agree that it is in fact quite hard and in need of a lot of polishing. Read More. https://www.sify.com/cloud/tiktok-parent-company-creates-kubeadmiral-for-kubernetes/