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Lord of All Lords [Shengzu] Ep 21 ENG SUB
⏲ 13:1 👁 370K
IaaS Explained
⏲ 8 minutes 7 seconds 👁 84.3K
What is IaaS (Infrastructure as a Service)
⏲ 2 minutes 1 second 👁 20.8K
China’s AI-in-a-box products threaten Big Tech’s cloud growth
⏲ 5:54 👁 5K
Cloud Computing Service Model - IaaS PaaS SaaS Explained | Types of Cloud Services | Simplilearn
⏲ 9 minutes 57 seconds 👁 47.8K
Cloud Computing In 6 Minutes | What Is Cloud Computing? | Cloud Computing Explained | Simplilearn
⏲ 6 minutes 24 seconds 👁 1.1M
What is SaaS? Software as a Service
⏲ 2:12 ✓ 04-Jun-2024
The main DIFFERENCES between IaaS, SaaS and PaaS explained...
⏲ 2 minutes 17 seconds 👁 31K
IaaS vs PaaS vs SaaS | Software as a Service in Cloud Computing | Platform as a Service Explained
⏲ 15 minutes 51 seconds 👁 10.8K
Session 20: Cloudification in Open RAN - The Shift from Traditional to ORAN
⏲ 4:41 ✓ 03-Jun-2024
SaaS Sales Funnel - 5 Strategies To Selling SaaS (Software as a Service)
⏲ 14 minutes 42 seconds 👁 82.7K
Cloud Computing Service Models |IaaS PaaS SaaS Explained | Cloud Masters Program | Edureka
⏲ 37 minutes 43 seconds 👁 96.7K
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_lord-of-all-lords-shengzu-ep-21-eng-sub.webp "This is Investiture of the Gods' newly developed universe. Yang Jian, Su Daji, Jiang Ziya, and King Zhou will all receive new definitions. With the motto \")
_iaas-explained.webp "IBM Technology")
_what-is-iaas-infrastructure-as-a-service.webp "Eye on Tech")
_chinas-ai-in-a-box-products-threaten-big-techs-cloud-growth.webp "China’s AI-in-a-Box Products Threaten Big Tech’s Cloud Growth Strategy<br/><br/>China’s tech landscape is experiencing a significant shift with the rise of “AI-in-a-box” products. These innovations, provided by Chinese artificial intelligence groups, offer companies the ability to deploy powerful AI solutions on their premises. This development poses a substantial threat to the cloud computing services traditionally dominated by big tech companies like Alibaba, Baidu, and Tencent.<br/><br/>What Are AI-in-a-Box Products?<br/>AI-in-a-box products are essentially turnkey AI solutions that integrate hardware and software into a single package. These products allow businesses to run sophisticated AI applications on-site, bypassing the need for cloud-based services. This model addresses several key concerns of Chinese companies, particularly around data protection and sovereignty.<br/><br/>Key Players in the Market<br/>Huawei: Huawei has been a significant player in this space, partnering with AI start-ups to bundle large language models with its AI processors for on-premise deployment.<br/><br/>Other AI Start-ups: Numerous Chinese AI start-ups are also contributing to this trend, providing specialized AI solutions tailored to the needs of local businesses.<br/><br/>Market Growth and Government Investment<br/>The market for these “all-in-one machines” in China is poised for substantial growth. Government spending on AI boxes is projected to reach RMB 450 billion by 2027. This level of investment underscores the strategic importance of AI to China's future economic and technological ambitions.<br/><br/>Impact on Big Tech's Cloud Services<br/>The rise of AI-in-a-box products challenges the existing cloud computing paradigm. Big tech companies like Alibaba, Baidu, and Tencent, which have invested heavily in cloud infrastructure, may find their growth trajectories disrupted by this shift towards on-premise AI solutions.<br/><br/>Alibaba and Baidu's Public Cloud Focus<br/>Alibaba and Baidu: Both companies have concentrated on public cloud services, leveraging their extensive data centers and AI capabilities. Baidu, in particular, has seen success with generative AI and foundational models.<br/><br/>Tencent: Tencent also stands to be impacted as it navigates the evolving cloud and AI landscape in China.<br/><br/>Divergence from Western AI Commercialization<br/>In the West, AI commercialization has largely been driven by cloud-based solutions provided by tech giants like Amazon, Google, and Microsoft. In contrast, China's focus on AI-in-a-box products highlights a different approach, prioritizing data protection and on-premise deployment.<br/><br/>Data Protection Concerns<br/>Chinese companies are increasingly wary of data privacy and security. On-premise AI solutions offer a way to maintain tighter control over sensitive data, aligning with the regulatory environment in China.<br/>")
_cloud-computing-service-model-iaas-paas-saas-explained-124-types-of-cloud-services-124-simplilearn.webp "Simplilearn")
_cloud-computing-in-6-minutes-124-what-is-cloud-computing-124-cloud-computing-explained-124-simplilearn.webp "Simplilearn")
_what-is-saas-software-as-a-service.webp "Uncover the magic of SaaS—Software as a Service—with Brainy Knowledge Hub!In this enlightening video, we break down what SaaS is, how it works, and its game-changing advantages. Explore common examples, considerations for adoption, and join us on a journey through the cloud-based landscape. Subscribe now for more tech insights and stay ahead in the world of Software as a Service! ✨ #SaaS #BrainyKnowledgeHub #TechExploration #subscribenow")
_the-main-differences-between-iaas-saas-and-paas-explained.webp "Tec2Check")
_iaas-vs-paas-vs-saas-124-software-as-a-service-in-cloud-computing-124-platform-as-a-service-explained.webp "LogicOps Lab")
_session-20-cloudification-in-open-ran-the-shift-from-traditional-to-oran.webp "Cloudification in Open RAN refers to the transformation of traditional, hardware-centric radio access networks (RANs) into more flexible, software-driven architectures based on open standards. This session will explore the concept of cloudification in Open RAN and the benefits it offers over traditional RAN deployments.<br/><br/>Key Concepts:<br/><br/>Traditional RAN vs. ORAN:<br/>Traditional RANs are characterized by proprietary hardware and tightly integrated components, limiting flexibility and innovation.<br/>ORAN, on the other hand, emphasizes open interfaces, disaggregation of hardware and software, and virtualization, enabling a more flexible and scalable RAN architecture.<br/><br/>Benefits of Cloudification:<br/>Cloudification enables the virtualization of network functions, allowing operators to deploy and manage RAN functions as software instances on standard IT hardware.<br/>It enhances network flexibility, scalability, and resource utilization, leading to lower operational costs and faster deployment of new services.<br/><br/>Components of Cloudified Open RAN:<br/>Centralized Unit (CU) and Distributed Unit (DU) are virtualized and run on cloud infrastructure, providing centralized and distributed processing capabilities, respectively.<br/>Multi-access Edge Computing (MEC) enables the deployment of applications and services at the edge of the network, closer to end-users, improving latency and user experience.<br/><br/>Use Cases of Cloudification:<br/>Network Slicing: Cloudification enables the creation of network slices tailored to specific use cases, such as ultra-reliable low-latency communications (URLLC) for industrial IoT applications.<br/>Massive MIMO: Cloud-based processing can enhance Massive MIMO performance by enabling efficient coordination between antennas and reducing signal processing complexity.<br/><br/>Conclusion:<br/>Cloudification is a fundamental shift in the architecture of RANs, enabling operators to leverage cloud technologies to build more flexible, efficient, and innovative networks. By adopting cloudification, operators can meet the evolving demands of 5G and future wireless networks.<br/><br/><br/>Subscribe to \")
_saas-sales-funnel-5-strategies-to-selling-saas-software-as-a-service.webp "Patrick Dang")
_cloud-computing-service-models-124-iaas-paas-saas-explained-124-cloud-masters-program-124-edureka.webp "edureka!")
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