Gcore, a global provider of cloud, AI, and security solutions, has integrated NVIDIA Dynamo into its AI inference offerings. This new feature makes deploying powerful AI models easier and more efficient across different environments. Customers can now activate Dynamo with just one click, simplifying what used to be complex setup processes. What is NVIDIA Dynamo
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All posts tagged in NVIDIA
AI development is pushing the limits of hardware and data pipelines. To help solve the ongoing problem of GPU idle time, SCAILIUM has teamed up with TD SYNNEX. This partnership aims to make AI workloads run smoother and more efficiently across the globe. Addressing the GPU Bottleneck Many companies investing heavily in GPU infrastructure face
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Nvidia is working on a new system-on-chip (SoC) for Windows PCs, aiming to compete directly with big names like Qualcomm, Intel, and AMD. Several OEMs, including Dell and Lenovo, plan to build notebooks and desktops around this processor later this year. The chip is based on the GB10, which Nvidia developed in partnership with MediaTek.
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Cloudera has announced new updates that make it easier for enterprises to run advanced AI and analytics directly within their own data centers. This move helps organizations secure their data, reduce costs, and improve performance across multi-cloud, edge, and on-premises environments. The enhancements aim to streamline AI workflows and give businesses more control over their
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For a while, it looked like a major breakthrough was on the horizon. Nvidia was reportedly planning a massive $100 billion investment into OpenAI, the company behind ChatGPT. It seemed like a game-changer for the AI industry, with big money and big ambitions fueling the hype. But then, out of the blue, the deal disappeared,
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As demand for high-end processors surges, TSMC’s role as Apple’s main chip manufacturer is becoming more complex. While Apple has long been TSMC’s biggest customer, the rise of AI and server chip markets is shifting the power dynamics. This could mean higher costs for Apple’s devices and a more competitive environment for TSMC’s manufacturing capacity.
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Recently, a conflict over chip sales between the US and China has heated up. Nvidia’s new H200 AI processors are caught in the middle. After the US government announced new export rules, the future of these chips in China became uncertain. The situation illustrates the ongoing tech and trade tensions between the two countries. US
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The term “AI factory” has been popping up a lot at this year’s Consumer Electronics Show (CES). It’s a phrase that seems to mean different things to different people. Some see it as a type of specialized data center, while others think of it as a set of hardware or software tools designed for AI
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Eleveight AI has made a major move in Armenia’s tech scene by installing NVIDIA’s latest B300 Blackwell GPUs at its AI-focused data center. This makes Armenia one of the first countries worldwide to deploy these advanced graphics processors. The new hardware aims to boost AI training, inference, and research efforts across various industries. Advancing Armenia’s
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In 2025, the shortage of AI chips became the biggest hurdle for companies deploying artificial intelligence. CTOs quickly realized that geopolitics and manufacturing limits mattered more than software plans or vendor promises. What started as US export controls aimed at China soon turned into a global infrastructure crisis. The core issue wasn’t just policy—it was
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