Tag: inference workloads
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Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…
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Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs
Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…
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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…