#Innovative Data Infrastructure

[govindhtech]

Huawei Unveils AI Data Lake Solutions For Smarter Industry

Top Data Lake Solutions

At the 4th Huawei Innovative Data Infrastructure (IDI) Forum in Munich, Germany, Huawei launched the AI Data Lake Solution in April 2025 to accelerate AI implementation across sectors. In his keynote talk, Huawei Vice President and President of the Huawei Data Storage Product Line Peter Zhou addressed “Data Awakening, Accelerating Intelligence with AI-Ready Data Infrastructure.”

Data's importance hasn't altered despite decades of digital upheaval. Zhou stated in his speech: "Be Al-ready by being data-ready. Industry digitalisation advances when data becomes knowledge and information.

The AI Data Lake Solution integrates data storage, management, resource management, and the AI toolchain to help enterprises implement AI. A high-quality AI corpus speeds model training and inference.

Zhou detailed the Data Lake solution's technology and products in his speech:

Continuous performance, capacity, and resilience innovation in data storage

Huawei OceanStor accelerates AI model training and inference. Several AI storage systems perform well. In particular, it helped AI technology company iFLYTEK improve cluster training. Its innovative inference acceleration solution improves inference performance, latency, and user experience to accelerate commercial deployment of large-model inference applications.

Effective mass AI data storage: OceanStor Pacific All-Flash Scale-Out Storage uses 0.25 W/TB and has 4 PB/2 U capacity. It handles exabyte-scale data well, making it perfect for media, scientific research, education, and medical imaging.

Huawei Ocean Protect Backup Storage safeguards oil and gas and MSP training corpus and vector database data. It has 99.99% ransomware attack detection accuracy and 10 times higher backup performance than other popular choices.

Data visibility, manageability, and mobility across geographies

Huawei DME, an Omni-Dataverse-based data management technology, helps companies eliminate data silos in global data centres. DME's ability to access over 100 billion files in seconds helps businesses manage and maximise data.

Pooling various xPUs and sophisticated AI resource scheduling

Virtualisation and container technologies enable efficient scheduling and xPU resource sharing on the DCS platform, increasing resource usage. DME's DataMaster enables AI-powered O&M with AI Copilot in all scenarios. This improves O&M with AI applications including intelligent Q&A, O&M assistant, and inspection expert.

Data Lake Architecture

In a data lake solution, massive amounts of unprocessed, undefined data are stored centrally. This allows flexible processing and analysis of structured, semi-structured, and unstructured data from several sources. Data ingestion, cataloguing, storage, and governance matter.

The following are crucial data lake solution architectural elements:

Data Ingestion: This layer ETLs data from several sources into the data lake. Validation, schema translation, and scrubbing maintain data integrity.

Storage: Blobs or files store unprocessed data. This allows flexible data analysis and use.

Data Cataloguing: This layer helps find, manage, and control lake data. Metadata classification and tagging improve data management and retrieval.

Data processing and analysis in the lake are supported by this layer, which uses Apache Spark or cloud-based services.

The Data Presentation layer prepares data for business users through specified views or dashboards.

Main Ideas

Huawei's AI Data Lake solution blends AI, storage, data, and resources to tackle data-exploitation issues and accelerate AI adoption across sectors.

Data underpins AI

Key takeaway: To be “AI-ready,” one must be “data-ready.” The solution meets the need for high-quality, readily available data for AI research. Prepare data for Al-ready. Industry digitalisation advances when data becomes knowledge and information.

Industry-wide AI adoption acceleration

Businesses may implement AI using the solution's entire platform for data preparation, model training, and inference application deployment.“Designed to accelerate AI adoption across industries” emphasises this.

Key Component Integration

The AI Data Lake Solution integrates resource management, data storage, data management, and the AI toolchain. Not a single product. This integrated method simplifies AI process creation and management.

Addressing Data Issues

It addresses corporate data challenges including data silos (addressed by data management) and the need to handle enormous datasets (resolved by high-capacity storage).

To conclude

Huawei announced the AI Data Lake Solution at IDI Forum 2025 to help organisations optimise data value in the AI future. Huawei's unified architecture, Omni-Dataverse file system, DataMaster AI-powered O&M, and energy-efficient storage solutions provide a powerful, future-ready infrastructure. This solution allows organisations to eliminate data silos, increase data mobility, optimise processes, and accommodate AI workloads for a more intelligent, environmentally friendly, and flexible digital transformation.

[chemicalmarketwatch-sp]

Exploring the Growing $21.3 Billion Data Center Liquid Cooling Market: Trends and Opportunities

In an era marked by rapid digital expansion, data centers have become essential infrastructures supporting the growing demands for data processing and storage. However, these facilities face a significant challenge: maintaining optimal operating temperatures for their equipment. Traditional air-cooling methods are becoming increasingly inadequate as server densities rise and heat generation intensifies. Liquid cooling is emerging as a transformative solution that addresses these challenges and is set to redefine the cooling landscape for data centers.

What is Liquid Cooling?

Liquid cooling systems utilize liquids to transfer heat away from critical components within data centers. Unlike conventional air cooling, which relies on air to dissipate heat, liquid cooling is much more efficient. By circulating a cooling fluid—commonly water or specialized refrigerants—through heat exchangers and directly to the heat sources, data centers can maintain lower temperatures, improving overall performance.

Market Growth and Trends

The data centre liquid cooling market  is on an impressive growth trajectory. According to industry analysis, this market is projected to grow USD 21.3 billion by 2030, achieving a remarkable compound annual growth rate (CAGR) of 27.6%. This upward trend is fueled by several key factors, including the increasing demand for high-performance computing (HPC), advancements in artificial intelligence (AI), and a growing emphasis on energy-efficient operations.

Key Factors Driving Adoption

1. Rising Heat Density

The trend toward higher power density in server configurations poses a significant challenge for cooling systems. With modern servers generating more heat than ever, traditional air cooling methods are struggling to keep pace. Liquid cooling effectively addresses this issue, enabling higher density server deployments without sacrificing efficiency.

2. Energy Efficiency Improvements

A standout advantage of liquid cooling systems is their energy efficiency. Studies indicate that these systems can reduce energy consumption by up to 50% compared to air cooling. This not only lowers operational costs for data center operators but also supports sustainability initiatives aimed at reducing energy consumption and carbon emissions.

3. Space Efficiency

Data center operators often grapple with limited space, making it crucial to optimize cooling solutions. Liquid cooling systems typically require less physical space than air-cooled alternatives. This efficiency allows operators to enhance server capacity and performance without the need for additional physical expansion.

4. Technological Innovations

The development of advanced cooling technologies, such as direct-to-chip cooling and immersion cooling, is further propelling the effectiveness of liquid cooling solutions. Direct-to-chip cooling channels coolant directly to the components generating heat, while immersion cooling involves submerging entire server racks in non-conductive liquids, both of which push thermal management to new heights.

Overcoming Challenges

While the benefits of liquid cooling are compelling, the transition to this technology presents certain challenges. Initial installation costs can be significant, and some operators may be hesitant due to concerns regarding complexity and ongoing maintenance. However, as liquid cooling technology advances and adoption rates increase, it is expected that costs will decrease, making it a more accessible option for a wider range of data center operators.

The Competitive Landscape

The data center liquid cooling market is home to several key players, including established companies like Schneider Electric, Vertiv, and Asetek, as well as innovative startups committed to developing cutting-edge thermal management solutions. These organizations are actively investing in research and development to refine the performance and reliability of liquid cooling systems, ensuring they meet the evolving needs of data center operators.

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The outlook for the data center liquid cooling market is promising. As organizations prioritize energy efficiency and sustainability in their operations, liquid cooling is likely to become a standard practice. The integration of AI and machine learning into cooling systems will further enhance performance, enabling dynamic adjustments based on real-time thermal demands.

The evolution of liquid cooling in data centers represents a crucial shift toward more efficient, sustainable, and high-performing computing environments. As the demand for advanced cooling solutions rises in response to technological advancements, liquid cooling is not merely an option—it is an essential element of the future data center landscape. By embracing this innovative approach, organizations can gain a significant competitive advantage in an increasingly digital world.

[kimludcom]

Kenya gives EastAfrica earthquakes with these mega projects|2024 @Kimlud

[spinnrblog]

In 2013, Databricks was born out of UC Berkeley with one mission: simplify big data and unleash AI through Apache Spark. Founders like Ali Ghodsi believed the future of computing lay in seamless data platforms. With $𝟑𝟑 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 in early backing from Andreessen Horowitz and NEA, Databricks introduced a cloud-based environment where teams could collaborate on data science and machine learning. By 2020, it had over 𝟓,𝟎𝟎𝟎 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬, including Shell and HP. Its 2023 funding round pushed its valuation to $𝟒𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧, cementing it as a leader in the AI infrastructure space. Databricks now powers analytics for over 𝐨𝐯𝐞𝐫 𝟓𝟎% of Fortune 500 companies.

The moral? When you streamline complexity, you don’t just sell software—you unlock transformation.

[vengoai]

In 2013, Databricks was born out of UC Berkeley with one mission: simplify big data and unleash AI through Apache Spark. Founders like Ali Ghodsi believed the future of computing lay in seamless data platforms. With $𝟑𝟑 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 in early backing from Andreessen Horowitz and NEA, Databricks introduced a cloud-based environment where teams could collaborate on data science and machine learning. By 2020, it had over 𝟓,𝟎𝟎𝟎 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬, including Shell and HP. Its 2023 funding round pushed its valuation to $𝟒𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧, cementing it as a leader in the AI infrastructure space. Databricks now powers analytics for over 𝐨𝐯𝐞𝐫 𝟓𝟎% of Fortune 500 companies.

The moral? When you streamline complexity, you don’t just sell software—you unlock transformation.

[legarski]

Hybrid Small Modular Reactors (SMRs): Pioneering the Future of Energy and Connectivity

SolveForce is proud to announce the release of a groundbreaking new book, “Hybrid Small Modular Reactors (SMRs): From Design to Future Technologies,” co-authored by Ronald Joseph Legarski, Jr., President & CEO of SolveForce and Co-Founder of Adaptive Energy Systems. This publication stands at the convergence of next-generation nuclear energy, telecommunications infrastructure, and digital…

[impact-newswire]

G42 Establishes G42 Europe & UK

News Release – G42, the leading UAE-based artificial intelligence and advanced technology group, today announced the launch of G42 Europe & UK, a subsidiary headquartered in London. The entity will focus on delivering tailored AI solutions to Europe and UK’s private sector and partnering with governments and industry to support the build-out of critical AI infrastructure across the UK and…

[harisharticles]

Smart Infrastructure for Cloud Communications with Next-Gen Data-Center Frameworks

As digital transformation accelerates across industries, the demand for faster, more reliable, and scalable communication infrastructures has never been higher. Cloud Communications with Next-Gen Data-Center technologies are emerging as the cornerstone for businesses seeking to optimize performance, ensure data security, and future-proof their operations in a hyperconnected world.

Introduction to Modern Cloud Communications

Cloud communications have evolved into a critical enterprise resource, enabling remote collaboration, centralized control, and real-time data access. Businesses now operate in a distributed manner, relying heavily on cloud-based platforms for voice, video, messaging, and data services. This transition requires a robust, low-latency network infrastructure that traditional data centers often struggle to provide.

The Evolution of Data-Center Network Technologies

Next-generation data-center networks are built for high efficiency, scalability, and automation. These infrastructures use technologies such as SDN, NFV, edge computing, and AI-based monitoring to dynamically manage workloads and traffic. Their architecture supports horizontal scalability and multi-cloud deployments, making them ideal for today’s data-intensive and real-time cloud communications.

How Next-Gen Infrastructure Empowers Cloud Communications

Cloud Communications with Next-Gen Data-Center solutions significantly enhance the performance and reliability of enterprise communication tools. These networks reduce latency, offer higher bandwidth, and ensure service continuity even during peak demand. Integration with 5G and IoT networks also enhances device-to-cloud interaction, which is essential for modern enterprises operating across diverse geographies.

Key Benefits of Integrated Cloud and Data-Center Systems

The integration of cloud communications with next-gen data centers brings increased speed, agility, and security. Companies can scale their communication systems as needed without investing in extensive physical infrastructure. Enhanced data routing, proactive threat detection, and seamless failover capabilities ensure optimal uptime and data integrity, which is crucial for mission-critical applications.

Challenges and Considerations for Deployment

Despite the advantages, implementing next-gen data-center solutions for cloud communications comes with challenges. These include managing the complexity of hybrid environments, ensuring regulatory compliance, and the need for skilled IT personnel. Choosing the right partners and adopting standardized frameworks can mitigate many of these risks and enable a smoother transition.

Future Outlook for Cloud Communications with Next-Gen Data-Centers

As AI, machine learning, and edge computing become more pervasive, the synergy between cloud communications and next-gen data centers will deepen. Enterprises will benefit from predictive analytics, automated network management, and adaptive QoS, leading to unprecedented efficiency and innovation. The future is geared towards intelligent, self-optimizing networks that empower communication infrastructures to adapt and scale on demand.

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Conclusion

Cloud Communications with Next-Gen Data-Center technologies are reshaping the digital backbone of enterprises. By adopting these advanced infrastructures, businesses can unlock improved agility, better security, and enhanced operational continuity. The shift is not just about upgrading hardware but about embracing a more resilient, intelligent, and future-ready communication model.

[goodoldbandit]

The Future is Now: 5G and Next-Generation Connectivity Powering Smart Innovation.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how 5G networks are transforming IoT, smart cities, autonomous vehicles, and AR/VR experiences in this inspiring, in-depth guide that ignites conversation and fuels curiosity. Embracing a New Connectivity Era Igniting Curiosity and Inspiring Change The future is bright with 5G networks that spark new ideas and build…

[farmerstrend]

Hass Avocado Production in Kenya: A Comprehensive SWOT Analysis for 2025

“Explore the comprehensive SWOT analysis of Hass Avocado Production in Kenya, covering strengths, weaknesses, opportunities, and threats. Learn about Kenya’s avocado farming trends, challenges, and strategies for 2025 to boost profitability and sustainability.” As of 2025, Hass avocado farming in Kenya has solidified its position as one of the most lucrative agricultural ventures in the country.…

[classroomlearning]

BTech CSE: Your Gateway to High-Demand Tech Careers

Apply now for admission and avail the Early Bird Offer

In the digital age, a BTech in Computer Science & Engineering (CSE) is one of the most sought-after degrees, offering unmatched career opportunities across industries. From software development to artificial intelligence, the possibilities are endless for CSE graduates.

Top Job Opportunities for BTech CSE Graduates

Software Developer: Design and develop innovative applications and systems.

Data Scientist: Analyze big data to drive business decisions.

Cybersecurity Analyst: Safeguard organizations from digital threats.

AI/ML Engineer: Lead the way in artificial intelligence and machine learning.

Cloud Architect: Build and maintain cloud-based infrastructure for global organizations.

Why Choose Brainware University for BTech CSE?

Brainware University provides a cutting-edge curriculum, hands-on training, and access to industry-leading tools. Our dedicated placement cell ensures you’re job-ready, connecting you with top recruiters in tech.

👉 Early Bird Offer: Don’t wait! Enroll now and take the first step toward a high-paying, future-ready career in CSE.

Your journey to becoming a tech leader starts here!

[epicstoriestime]

The Stargate Project: A Leap Toward AI’s Future

A transformative leap in AI, pushing the boundaries of science, healthcare, and global progress with a $500 billion investment. In January 2025, the Stargate Project was unveiled as a transformative initiative aimed at securing the United States’ leadership in the rapidly advancing field of artificial intelligence (AI). This groundbreaking venture, with a projected investment of up to $500…

[peterbordes]

Global AI computing will use 'multiple NYCs' worth of power by 2026, says Lightmatter founder Thomas Graham.

AI computing will continue to soar with inference, requiring completely new multiple-gigawatt AI data centers.

[laptop12233]

Pioneer Technologies Pvt. Ltd.

Pioneer Technologies Pvt. Ltd. provides IT Consultancy, IT Infrastructure, IT Services, and Cloud and Web Solutions, We are providing complete end-to-end solutions at every level of your IT requirements. Established in 1994, our field of solutions includes the installation & maintenance of LAN, WAN, and VPN. We Provide Microsoft end-to-end Cloud Solutions (o365, Azure, & CRM Online). We Provide VMware & Citrix Virtualization solutions. We specialize in wired, Wireless & Fiber Networking. We are providing complete security solutions for antivirus and firewalls. We are maintaining all types of servers like File, Database, Application, Mail, Backup, Server, etc. https://pioneerit.in/

[navyasri1]

𝐖𝐢𝐫𝐞𝐥𝐞𝐬𝐬 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 : 𝐓𝐡𝐞 𝐁𝐚𝐜𝐤𝐛𝐨𝐧𝐞 𝐨𝐟 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲

As digital transformation accelerates, wireless infrastructure has become the backbone of seamless, high-speed communication, making it essential for industries worldwide.

With a market size forecasted to reach $114.5 billion by 2026, and a CAGR of 7.4% from 2021 to 2026, wireless infrastructure is transforming connectivity, offering enterprises enhanced data speeds, and facilitating the adoption of advanced solutions such as Cloud RAN, Remote Radio Heads (RRH), and Distributed Antenna Systems (DAS).