Can You Unlock Local LLM's FULL POTENTIAL in one command? скачать в хорошем качестве

Can You Unlock Local LLM's FULL POTENTIAL in one command?

Docker Model Runner is now Generally Available with full GPU support for NVIDIA, AMD, Intel, and Apple Silicon. In this video, I walk through the complete Docker Model Runner experience - from browsing the Docker Hub model catalog to running LLMs locally with one command. This might replace Ollama for your local LLM workflow. 🔥 What's covered: → Docker Hub model catalog (DeepSeek, Qwen3, Llama, Gemma) → Local, Requests, and Logs tabs explained → CLI commands: pull, run, list → OpenAI-compatible API (drop-in replacement) → Vulkan GPU support for AMD/Intel/integrated GPUs → HuggingFace integration → Why Docker Model Runner went GA 🔗 Resources: Docker Model Runner Docs: https://docs.docker.com/desktop/featu... Docker Hub AI Models: https://hub.docker.com/u/ai GitHub (Open Source): https://github.com/docker/model-runner GA Announcement: https://www.docker.com/blog/announcin... Vulkan Support: https://www.docker.com/blog/docker-mo... 📦 Docker AI Stack Series: 1. Docker Model Runner (this video) 2. Docker MCP Toolkit + Claude Desktop 3. MCP Server Setup (GitHub, Docker Hub, Brave) 4. Ask Gordon (Docker AI Assistant) 5. GenAI Monitoring with Prometheus/Grafana 💬 Are you switching from Ollama? Let me know in the comments! #dockermodelrunner #localllm #ollama #deepseek #qwen3 #llama #docker #ai #devops #machinelearning #gpu #vulkan #mcp --- 🎬 DevOpsPod: AI Engineering for Developers Subscribe for production-grade AI infrastructure tutorials.