#PyTorch CUDA installation
47 related articles
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CutWire Drift: An Open-Source Video Editing Tool Powered by Local AI
CutWire Drift is a beginner-friendly open-source video editor with local AI features including Whisper auto-subtitles, SAM2 background removal, multi-track timeline, keyframe animation, and transitions—free and privacy-preserving.
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·3 min
No Python Required: A Unified Multimodal Local AI Generation CLI Tool
A CLI tool that enables local text, image, video, music, and 3D generation without Python. Explore its technical approach, advantages, limitations, and the growing trend of local AI tooling.
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No Python Required: A Unified Multimodal Local AI Generation CLI Tool
A CLI tool requiring no Python that supports local text, image, video, music, and 3D generation. Explore its technical approach, advantages, limitations, and the growing trend of local AI toolification.
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·4 min
Full-Stack Machine Learning Project Repository Structure Guide: From Chaos to Convention
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·4 min
A Guide to Full-Stack Machine Learning Project Repository Structure: From Chaos to Convention
A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and externalized configuration to help ML developers move from experimental code to production-grade engineering standards.
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·3 min
ncnn Vulkan Cross-Platform Edge Inference in Practice: Solving the GPU Fragmentation Deployment Challenge
Facing GPU fragmentation on edge devices, the PostSlate team used ncnn's Vulkan backend for cross-platform ML inference, achieving 10× speedup on RTX 4070 with half the model size and zero runtime installation.
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·3 min
Monocular RGB Human Mesh Reconstruction: Real-Time Motion Capture at 18 FPS with Rust + CUDA
Deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on RTX 5080. Exploring its architecture, Metal porting plans, and applications in VTuber, AR/VR, and sports analysis.
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·3 min
Monocular RGB Human Mesh Reconstruction: Real-Time Motion Capture at 18 FPS with Rust + CUDA
A deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on an RTX 5080.
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·3 min
DeepSeek-OCR Deployment & Fine-Tuning in Practice: From vLLM Inference to Unsloth Fine-Tuning
Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.
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·6 min
Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling
In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.
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InvokeAI In-Depth Review: Can It Replace SD WebUI and ComfyUI?
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·7 min
The Complete AI Character LoRA Training Workflow: Hands-On Multi-Character Consistency Generation with Local Deployment
A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.
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·4 min
AMD Ryzen AI Halo Real-World Test: Can a Non-Programmer Use Local AI to Write Code?
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·3 min
Zer0Fit: Connecting Google's TabFM and TimesFM to LLM Chat Interfaces via MCP
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·7 min
Reverse-Engineering CUDA-checkpoint: The Technical Principles and Practice of Cracking GPU Cold Starts
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·5 min
U.S. Treasury Warns of AI Bubble Risk: Systemic Concerns and Investment Rationality
The U.S. Treasury has issued a rare internal warning that the AI investment boom may be forming an asset bubble, with valuations detached from fundamentals and systemic risks mounting.
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·5 min
Python Learning Roadmap for Beginners: A Three-Stage System to Avoid 90% of Detours
Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.
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·5 min
Major Unsloth Update: NVFP4 Quantization Export and DeepSeek-V4 Training Support
Unsloth v0.1.48-beta released, adding NVFP4/FP8 quantization export, OpenAI-compatible API hot-swapping, 3-5x faster MoE training, and 1.3x faster GRPO, covering the full LLM fine-tuning, quantization, and local deployment pipeline.
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·2 min
Unsloth v0.1.45 Released: Gemma 4 MTP Acceleration, Cross-Platform Fixes, and Studio Upgrades
Unsloth v0.1.45-beta adds Gemma 4 MTP support, AMD ROCm & NVIDIA Blackwell fixes, a new Hub download manager, and a compact RAG system for local LLM fine-tuning.
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·2 min
RF-DETR Local Deployment Tutorial: A Higher-Accuracy Object Detection Alternative to YOLO
RF-DETR is the first real-time detector to surpass 60 mAP on COCO. This guide covers full local deployment: Conda setup, pip install, and image/video inference.
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