LLM-D Serving for AMD Instinct GPUs on OCI
… Scale out Finally, we scale out gpt-oss-120b aggregated configurations to a multi-node llm-d deployment to compare multi-node aggregated deployments to a 2 node disaggregated setup. …
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I finally organized my Docker Compose files and saved myself hours of time
… If an update breaks something, I have all the details in place to recover my setup. Docker backups are only useful if you can easily rebuild Sometimes the simplest upgrade to your self-hosted setup is to make your setup survivable and easily replicable. …
Windows Local AI: AI model deployment using Windows ML on AMD NPU
… For step-by-step instruction, refer to GitHub exampe: https://github.com/amd/RyzenAI-SW/tree/main/WinML/LLM run-custom-llm-model-using-windows-ml-apis Summary of different deployment options for LLM on AMD NPU: Deployment Option Control Expertise required Best use case Foundry Local with pre-optimi… …
Amazon SageMaker Studio now sets up in seconds with model customization ready from the start - AWS
… To get started, create a new Studio environment using quick setup in the SageMaker AI Console. To learn more, see Quick setup and Model Customization permissions setup in the Amazon SageMaker documentation.
Discussions and forums
Show HN: Beacon CLI for self-hosted monitoring, remote access and deployments
I've been building a cli for my homelab/self-hosted setup. The original motivation was getting tired of stitching together deployments, monitoring, remote SSH access and random scripts. It’s a open source CLI, all-in-one…
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How realistic is it to make a long-term career out of travel/network deployment contracts?
Hey Everyone - 32M, ~10 years in IT (5–6 in networking/network engineering specifically). Recently started a network deployment contract through TEKsystems and honestly realizing this type of work fits me WAY better than…
Show HN: Aisbf, a self-hostable OpenAI-compatible AI proxy/router
AISBF is a self-hostable AI proxy/router that exposes an OpenAI-compatible API while letting you route across different providers and model pools.I built it to make multi-provider AI setups less chaotic: centralize acces…
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Issues deploying Docker Desktop via Task Sequence after successful SCCM/MECM Software Center installation
Hi everyone, I'm running into a bit of a roadblock with Docker Desktop deployment. The application installs perfectly fine when deployed via the Software Center (SCCM/MECM) on a running OS. However, when I try to include…
Ask HN: How do you self-host your apps?
Hello everyone!I'm looking for feedback from people who selfhost their own environment.I'm building a tool to simplify deployment and management and make it feel more like a PaaS. I was also frustrated by the speed of CI…
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Microsoft released Windows 11 KB5087583, KB5084812 setup and recovery updates
… KB5087583: Setup Dynamic Update for Windows 11, version 24H2 and 25H2: April 30, 2026 This update makes improvements to Windows setup binaries or any files that setup uses for feature updates in Windows 11, version 24H2 and Windows 11, version 25H2. …
Proxmox Datacenter Manager 1.1 Adds Automated Installs and Unified Ceph Monitoring
… The platform is available as open-source software and can be installed from a full ISO image for bare-metal deployments. Existing installations can be upgraded through the standard APT package management system, and the software can also be installed on top of an existing Debian setup. …
Consolidate your GitLab stack with Gitaly on Kubernetes
… In this setup, the Gitaly process lives in a separate cgroup from those used by Git processes. If a Git process exceeds its cgroup's memory limit and gets terminated, the main Gitaly process remains unaffected. Making this setup work in a Kubernetes Pod required additional work. …
Automate deployment processes with GitLab Duo Agent Platform
… If you miss a step, the deployment breaks. Do it manually and you can lose hours, sometimes a whole day, to a setup that follows the same pattern every time. …
More AI models for GitLab Duo Agent Platform Self-Hosted
… The most capable models tend to land in cloud-first deployments, leaving regulated and isolated environments a step behind on AI capability, and forcing teams into a single-model setup that's either overkill for routine work or underpowered for complex agentic tasks. …
My First Look at the UniFi Dream Machine Beast: The Features That Actually Matter - WunderTech
… If your deployment is camera-heavy, the math on that alone starts to justify the price gap and can make this a better buy than previous generations. The client’s ceiling is also a significant change, and points to the type of deployment this is designed for. …