Archivo de la categoría: AI

AI clouds for optimal business objectives and outcomes

As AI is gaining traction, many cloud solutions are enhanced to better support AI use cases. One of the biggest advantages of AI-enhanced clouds is their ability to optimise infrastructure resources to fit the particular AI Inference needs of any business. Whether a company is working on tasks like financial planning, improved customer support, or […]

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AI boom sparks next wave of cloud storage expansion, says new study

A recent global survey by Recon Analytics, commissioned by Seagate Technology, paints an interesting picture of the future of AI and data storage. Business leaders from 15 industries in 10 countries are bracing for an explosion of data as AI adoption grows, with many expecting cloud-based storage forming the centre of data repositories in the […]

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How AI software firm One Data protected its Kubernetes environment with Kasten K10

One Data GmbH is a German software company and a specialist in the use of applied artificial intelligence (AI). With over 200 employees in Passau, Munich, Frankfurt and Berlin, One Data offers an AI-powered Data Product Builder for innovative and collaborative data teams, which enables organisations to realise the full potential of their data. The […]

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Alibaba’s LLM pricing challenges domestic and Western rivals

Alibaba Cloud LLM pricing strategy has taken a dramatic turn as the company announces an unprecedented 85% reduction in access costs for its most sophisticated large language models. The announcement, made via WeChat and reported by the South China Morning Post, positions the company’s flagship Qwen-VL-Max model at just 0.003 yuan ($0.00041) per thousand tokens, […]

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Microsoft outperforms Amazon and Google in cloud AI

Cloud heavyweights AWS, Microsoft Azure, and Google Cloud Platform (GCP) are positioning themselves to use AI as a key driver of cloud infrastructure growth. According to IoT Analytics, Microsoft is emerging as a cloud AI leader, particularly in genAI, passing both AWS and Google. Microsoft leads in generative AI Microsoft accounted for 45% of new […]

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DC certifications for newcomers, experts, and sustainability pros

The data centre industry is rapidly evolving, driven by advances in AI, cybersecurity, and sustainability. Despite these changes, certifications remain essential for IT career growth. According to NetworkWorld, certifications have emerged to match the demands of cutting-edge technologies. For IT professionals, the appeal of certifications is clear—enhanced career prospects, higher salaries, and greater job security. […]

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Oracle partners with Meta to power Llama AI models

Oracle has entered into with Meta, enabling the social media giant to leverage Oracle Cloud Infrastructure for training and deploying its Llama large language models (LLMs), as reported by TechRadar. The agreement was confirmed by Oracle’s Chief Technology Officer, Larry Ellison. “We just signed an agreement with Meta – for them to use Oracle’s AI […]

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Google Cloud partners with Air France-KLM to transform its data and generative AI strategy

Google Cloud has formed a strategic collaboration with Air France-KLM (AFKL), a leading global airline group, to help the airline leverage the power of its data, analytics, and generative AI (gen AI) technology to accelerate its data-centric and multicloud strategy, drive innovation, and reimagine the future of the travel industry. Through the enhancement and growing… Read more »

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How cloud providers are tackling GPU shortages with custom chips

GPUs are the backbone of AI computing, but as demand exceeds supply, cloud providers are getting creative. Instead of waiting for more GPUs, as Network World reported, they’re creating custom chips to meet specific workloads, delivering faster, more efficient computing while keeping costs under control. The competition is heating up. At Microsoft’s Ignite conference last… Read more »

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Building the future of AI systems at Meta

Meta’s Ye (Charlotte) Qi took the stage at QCon San Francisco 2024, to discuss the challenges of running LLMs at scale. As reported by InfoQ, her presentation focused on what it takes to manage massive models in real-world systems, highlighting the obstacles posed by their size, complex hardware requirements, and demanding production environments. She compared… Read more »

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