Many companies are realizing they don’t need the newest and most powerful GPUs to get good results from AI. For years, the story was that top-tier GPUs were essential for training big AI models and running complex tasks. But that’s not entirely true for most everyday business applications. People often think that only the latest,
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All posts tagged in GPU Computing
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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A recent announcement about Amazon Web Services (AWS) and OpenAI signing a seven-year, $38 billion deal has everyone talking. The deal promises to boost AI research by giving OpenAI access to huge numbers of powerful Nvidia GPUs. AWS is providing the infrastructure needed to run millions of CPUs and GPUs, with plans to expand into
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Anthropic, the US-based AI company, is making a major move to boost its infrastructure. The company is investing $50 billion in new data center projects in Texas and New York. This is its largest expansion in the United States so far. The new facilities aim to support Anthropic’s growing needs for high-powered computing to develop
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OpenAI is making big moves to strengthen its AI computing power. The company has signed several major deals with top cloud providers to build a diverse and robust infrastructure. Their latest agreement, valued at $38 billion, highlights their commitment to securing the hardware needed for future AI models and current workloads like ChatGPT. This push
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Nvidia’s stock keeps climbing on the Nasdaq, and it’s making big headlines. The company’s shares have skyrocketed in recent years, mainly because of the huge demand for its AI chips. Just recently, Nvidia hit a major milestone by becoming the first company to be valued at $5 trillion during a trading day. This new record
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As AI tasks grow more complex and resource-intensive, many organizations are searching for better alternatives to conventional cloud providers. While giants like AWS and Azure still dominate, a new wave of decentralized compute platforms is emerging. These marketplaces connect companies needing GPU power with providers who have spare hardware, all through decentralized systems. They can
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The cloud industry is shifting quickly, and a new term is catching everyone’s attention: neoclouds. These are cloud platforms built specifically for artificial intelligence (AI) and machine learning workloads. They focus on delivering raw power, lower costs, and faster deployment for AI tasks. This shift could challenge the dominance of the big three cloud providers:
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Oracle and NVIDIA have strengthened their partnership to make enterprise AI more accessible, powerful, and practical. During the recent Oracle AI World event, they unveiled new hardware and software solutions designed to embed AI deeply into business data. This collaboration aims to push the boundaries of high-performance computing, streamlining AI workflows, speeding data processing, and
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Meta and Oracle are upgrading their AI data centers using NVIDIA’s latest Spectrum-X Ethernet switches. These switches are designed to meet the rising demands of large-scale AI systems. The upgrade is part of an open networking framework that aims to make AI training more efficient and speed up deployment across massive compute clusters. NVIDIA’s CEO
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