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…Register both GKE clusters to a unified GKE Fleet by following the fleet creation and registration setup . Enable Multi-Cluster Service Discovery and Multi-Cluster Ingress on your fleet. Designate your primary…
…What starts as a simple Pi-hole and file server setup can grow into virtualization, monitoring, VPN access, smart home infrastructure, and more. At that point, refusing to rethink the environment would…
…Unlike NVIDIA’s earlier Grace design, which relied on Arm Neoverse V2 cores, Vera introduces a more heavily customized architecture focused on AI, HPC, and hyperscale infrastructure deployments. The processor also supports…
…This software-hardware integration is designed to overcome standard GPU memory limitations by extending AI model deployment across system memory and high-speed SSDs, significantly reducing infrastructure costs for model inference and…
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…
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…
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…
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…
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…
…This is especially valuable in regulated fields such as medical and industrial deployments. Open ecosystem. Access thousands of recipes and community layers for AI frameworks, industrial protocols, and custom middleware. To help…
…This setup is designed for learning and testing. It helps you understand Gateway API concepts without production complexity. Caution: This is an experimentation learning setup, and should not be used for production…
…Pruning and distillation form a powerful pipeline for model compression, enabling the creation of SLMs that are well-suited for deployment in production environments and edge applications. TensorRT Model Optimizer streamlines applying…
…This setup is ideal for smaller workloads that do not necessitate multi-GPU environments, offering significant cost savings and simplicity in deployment. This deployment runs the VLM, LLM, embedding, and reranker models…
…Developers can automate VSS deployment and video analysis using coding agents like Codex and OpenClaw, which simplify setup and interaction through chat interfaces. AI-generated content may summarize information incompletely. Verify important…
…From Development to Deployment AMD played a formative role in shaping how MRC works today. AMD co-led authorship of the MRC specification that defines next-generation AI networking and contributed advanced…