When Oracle launched its cloud platform in 2016, many people didn’t think it would challenge the big players like Amazon, Microsoft, and Google. These giants had been dominating for years, setting the bar high with huge data centers, fast innovation, and massive scale. Oracle, known mostly for its databases and enterprise software, was late to
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All posts tagged in Data Centers
Oracle’s stock soared after revealing how strong the demand for AI infrastructure has become. The company indicated that AI firms are eager to access more computing power, leading to a big jump in investor confidence. Before the market opened, Oracle’s shares jumped about 33%, showing confidence that the company is gaining ground in the rapidly
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Atlassian is making a big change. The company plans to end all on-premises licenses for its data center products by March 2029. This move affects thousands of businesses that still run Atlassian’s collaboration software locally on their own servers. Starting in March 2026, they will stop selling new data center subscriptions. By March 2028, they
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As AI systems grow more powerful, their performance is increasingly held back by bottlenecks in memory and networking. These limitations reduce GPU utilization and overall efficiency, preventing infrastructure from reaching its full potential despite heavy investments. The core issue comes down to the trade-offs in the communication technologies used inside data centers, especially for connecting
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Imagine a future where artificial intelligence can learn and adapt instantly, without being slowed down by old-fashioned data systems. It might sound like science fiction, but the truth is, current AI infrastructure is holding back progress. CrateDB, a forward-thinking database company, is tackling this challenge head-on. Their goal is to create a unified data layer
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When it comes to managing cloud environments, big players like AWS, Microsoft Azure, and Google Cloud all have their own ways of doing things. They each offer tools for hybrid and multicloud setups, but how they handle costs, security, and management varies quite a bit. For businesses looking to pick the right cloud partner, understanding
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Imagine managing billions of documents at lightning-fast speeds. Traditional enterprise content management (ECM) systems can struggle with such large volumes. Now, a new open-source solution from Hyland promises to change that. It’s an AI-ready cloud repository built to handle massive data loads efficiently and securely. What Makes This Cloud Repository Stand Out? This new repository
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Many companies still rely on old-school data warehouses. But one pharma leader shows how moving to a modern lakehouse can turn compliance challenges into opportunities for growth. By switching to a cloud-native platform built on Azure Databricks, they improved speed, trust, and business impact across the organization. Why Modernizing Data Architecture Matters Over several years,
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As artificial intelligence continues to grow rapidly, companies face a big challenge: how to handle the increasing demand for powerful computing. Building larger data centers isn’t always practical due to space, cooling, and energy limits. The solution may lie in smarter networking technology that connects multiple data centers seamlessly. NVIDIA’s latest Spectrum-XGS Ethernet innovation aims
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FS has unveiled a new 800G Linear Pluggable Optics (LPO) module that could change how data centers handle AI and high-performance computing tasks. This innovative tech aims to solve two big problems: high power use and network delays. As AI gets more advanced, data centers need faster and more efficient ways to move massive amounts
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