Tag: CPUs

  • Cloud Blog: Cloud Run GPUs, now GA, makes running AI workloads easier for everyone

    Source URL: https://cloud.google.com/blog/products/serverless/cloud-run-gpus-are-now-generally-available/ Source: Cloud Blog Title: Cloud Run GPUs, now GA, makes running AI workloads easier for everyone Feedly Summary: Developers love Cloud Run, Google Cloud’s serverless runtime, for its simplicity, flexibility, and scalability. And today, we’re thrilled to announce that NVIDIA GPU support for Cloud Run is now generally available, offering a powerful…

  • Cloud Blog: How Confidential Computing lays the foundation for trusted AI

    Source URL: https://cloud.google.com/blog/products/identity-security/how-confidential-computing-lays-the-foundation-for-trusted-ai/ Source: Cloud Blog Title: How Confidential Computing lays the foundation for trusted AI Feedly Summary: Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

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

    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…

  • Schneier on Security: Regulating AI Behavior with a Hypervisor

    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

    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

    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

    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…