Experimental News Clipping Site

Tag: CPU

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • Cloud Blog: AI infrastructure is hot. New power distribution and liquid cooling infrastructure can help

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/systems/enabling-1-mw-it-racks-and-liquid-cooling-at-ocp-emea-summit/ Source: Cloud Blog Title: AI infrastructure is hot. New power distribution and liquid cooling infrastructure can help Feedly Summary: AI is fundamentally transforming the compute landscape, demanding unprecedented advances in data center infrastructure. At Google, we believe that physical infrastructure — the power, cooling, and mechanical systems that underpin everything — isn’t…

  • Cloud Blog: SandboxAQ: Accelerating drug discovery through cloud integration

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/sandboxaq-speeds-up-drug-discovery-with-the-cloud/ Source: Cloud Blog Title: SandboxAQ: Accelerating drug discovery through cloud integration Feedly Summary: The traditional drug discovery process involves massive capital investments, prolonged timelines, and is plagued with daunting failure rates. From initial research to obtaining regulatory approval, bringing a new drug to market can take decades. During this time, many drug…

  • Schneier on Security: Regulating AI Behavior with a Hypervisor

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/04/regulating-ai-behavior-with-a-hypervisor.html Source: Schneier on Security Title: Regulating AI Behavior with a Hypervisor Feedly Summary: Interesting research: “Guillotine: Hypervisors for Isolating Malicious AIs.” Abstract:As AI models become more embedded in critical sectors like finance, healthcare, and the military, their inscrutable behavior poses ever-greater risks to society. To mitigate this risk, we propose Guillotine, a…

  • Cloud Blog: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run/ Source: Cloud Blog Title: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run Feedly Summary: CodeRabbit, a rapidly growing AI code review tool, is leveraging Google Cloud Run to cut code review time and bugs in half by safely and efficiently executing…

  • AWS News Blog: New Amazon EC2 Graviton4-based instances with NVMe SSD storage

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/new-amazon-ec2-graviton4-based-instances-with-nvme-ssd-storage/ Source: AWS News Blog Title: New Amazon EC2 Graviton4-based instances with NVMe SSD storage Feedly Summary: AWS introduces new EC2 instance families (C8gd, M8gd, R8gd) powered by Graviton4 processors with NVMe SSD storage, offering up to 30% better performance, 3x more vCPUs and memory, and up to 11.4TB local storage compared to…

  • Slashdot: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/04/17/2224205/microsoft-researchers-develop-hyper-efficient-ai-model-that-can-run-on-cpus?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched BitNet b1.58 2B4T, a highly efficient 1-bit AI model featuring 2 billion parameters, optimized for CPU use and accessible under an MIT license. It surpasses competitors in…