Tag: large language model
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Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner
Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, itβs easy…
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Google Online Security Blog: Taming the Wild West of ML: Practical Model Signing with Sigstore
Source URL: http://security.googleblog.com/2025/04/taming-wild-west-of-ml-practical-model.html Source: Google Online Security Blog Title: Taming the Wild West of ML: Practical Model Signing with Sigstore Feedly Summary: AI Summary and Description: Yes Summary: The text announces the launch of a model signing library developed by the Google Open Source Security Team in collaboration with NVIDIA and HiddenLayer, aimed at enhancing…
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Cloud Blog: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/google-bytedance-and-red-hat-improve-ai-on-kubernetes/ Source: Cloud Blog Title: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware Feedly Summary: Over the past ten years, Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and boasting a comprehensive feature set for managing distributed systems. Today, we are…
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Cloud Blog: GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/benchmarking-a-65000-node-gke-cluster-with-ai-workloads/ Source: Cloud Blog Title: GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads Feedly Summary: At Google Cloud, weβre continuously working on Google Kubernetes Engine (GKE) scalability so it can run increasingly demanding workloads. Recently, we announced that GKE can support a massive 65,000-node cluster, up from 15,000 nodes. This…