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#triton — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #triton, aggregated by home.social.

  1. Triton Video

    NASA Voyager 2 spacecraft flew by Triton, a moon of Neptune, on August 25, 1989. This frame from a video using Voyager data recreates that exciting encounter.

    More: images.nasa.gov/details/PIA186
    Credit: NASA/JPL-Caltech/Lunar & Planetary Institute

    #triton #voyager #astrodon #astronomy #astrophotography #astrophysics

  2. Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.

    #Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus

    dasroot.net/posts/2026/02/runn

  3. Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.

    #Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus

    dasroot.net/posts/2026/02/runn

  4. Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.

    #Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus

    dasroot.net/posts/2026/02/runn

  5. Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.

    #Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus

    dasroot.net/posts/2026/02/runn

  6. Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.

    Inference Resource Allocation Mesh Policies Inference Server

    dasroot.net/posts/2026/02/runn