Snowflake (NYSE: SNOW) has quickly established itself as a key player in the data industry, transforming how cloud developers, data managers, and data scientists work with data. Its innovative architecture separates storage from compute resources, enabling organizations to scale each independently for optimal cost efficiency and performance. Designed for security and scalability, Snowflake empowers cloud
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Cloud Computing
ACL Digital, a proud member of the ALTEN Group and a global leader in AI-driven digital and system engineering, has announced its achievement of AWS Advanced Tier Services Partner status for the fourth consecutive year. This accomplishment underscores the company’s ongoing dedication to cloud innovation, customer success, and delivering cutting-edge AWS-based solutions across diverse industries.
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Microsoft has announced two exciting updates for its Windows 365 cloud services. The first is a new version called Windows 365 for Agents, designed specifically to run AI agents in a secure and isolated environment. The second is AI-enabled Cloud PCs, which bring some of the latest AI features to Windows 365 users without needing
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Many organizations are working to modernize their infrastructure to boost efficiency and cut costs. But this process isn’t always straightforward. Hybrid cloud setups, legacy systems, and new AI demands often force IT teams to make tough choices. Recent moves by big players like Microsoft and several data-platform vendors show how companies are tackling these challenges.
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Microsoft has introduced a new database service called Azure HorizonDB, designed to handle the demanding needs of modern AI and cloud-native applications. This latest addition to Microsoft’s PostgreSQL family aims to deliver high performance and easy scalability, making it ideal for workloads that require quick responses and the ability to grow seamlessly. Many enterprises rely
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Duality Technologies has announced a major step forward in privacy-focused artificial intelligence. The company now supports Google Cloud’s Confidential Computing platform, including NVIDIA GPU-powered confidential virtual machines. This allows large AI tasks, like training and running large language models, to be done securely on NVIDIA GPUs with full data protection. It’s a big move for
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Building and training AI models at a large scale isn’t as simple as it sounds. It involves managing huge distributed systems that can run across many servers and GPUs. Microsoft is teaming up with Anyscale to make this process easier on Azure, especially when using tools like PyTorch and Kubernetes. Why Scaling AI Workloads is
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Many companies in Western Europe are rethinking how they use cloud services. A new survey shows that over half of them plan to cut back on relying on big global cloud companies like Amazon, Google, and Microsoft. Instead, they are turning more to local and regional cloud providers. The reason? Growing worries about political issues
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Google is taking a big step to make Chromebooks more appealing for work environments. A year after acquiring Cameyo, Google has now launched its virtual application platform for general use. This new service is also now part of Chrome Enterprise, making it easier for businesses to run Windows apps on Chromebooks. Many companies rely on
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Google has announced a major step forward in artificial intelligence with the launch of Private AI Compute. This new cloud system aims to bring the speed and power of on-device AI to the cloud, all while keeping user data secure. It combines Google’s latest Gemini AI models with strict privacy features, reflecting a shift toward
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