Unsloth‑MLX leverages Apple’s MLX framework to let Mac users with Apple Silicon fine‑tune large language models locally with a single import change, offering zero‑cost migration to cloud GPUs, supporting SFT, DPO, ORPO, GRPO training, and export to HuggingFace or GGUF formats.
This guide walks you through preparing a JD Cloud GPU instance, installing NVIDIA drivers, deploying Ollama, running the DeepSeek LLM (including model download and execution), configuring the Chatbox graphical client for interactive queries, and optionally feeding local documents into AnythingLLM for a private knowledge base.
This tutorial walks you through installing GPU drivers, CUDA, Python, Anaconda, PyTorch, and the Stable Diffusion WebUI on a JD Cloud GPU instance, then shows how to add essential plugins like LoRA, ControlNet, Jupyter Notebook, and Kohya_ss for advanced AI art generation.
This article analyzes the technical challenges of rendering immersive 3D virtual worlds, virtual live streaming, and digital twins, compares client‑side and cloud‑rendering approaches, and details the capabilities and advantages of a cloud‑based real‑time rendering PaaS platform.
