#CUDA AI inference
363 related articles
·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·2 min
Stable Diffusion Local Deployment Guide: Free Unlimited AI Image Generation
Complete guide to deploying Stable Diffusion locally for free unlimited AI image generation. Covers installation steps, model management, hardware requirements, and use cases.
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·2 min
Rebuilding a Complete GUI App with DeepSeek for Just $2.50: A Real-World AI Programming Cost Breakdown
A Bilibili creator used DeepSeek V4 Pro via Cursor to rebuild a complete IndexTTS GUI app for just 18.63 RMB (~$2.50). Full breakdown of the AI coding workflow, features, and cost comparison.
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·3 min
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.
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·2 min
AMD Stock Breaks $500: A Deep Dive into the AI Chip Competitive Landscape
AMD stock breaks $500, hitting a new all-time high. Deep analysis of AMD's AI chip strategy, competition with NVIDIA, MI300X advantages, and potential risks.
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Expert Opinions·3 min
Windsurf CEO Deep Dive Interview: Speed Is the Only Moat
Windsurf CEO Varun Mohan shares insights on AI coding IDE pivots, product methodology, async Agent challenges, and differentiation strategy vs Cursor. Speed is the only moat.
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Deep Dives·2 min
The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex
Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
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Tutorials·2 min
Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
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Tech Frontiers·3 min
OpenAI Leadership Shakeup as Greg Brockman Returns, Cerebras IPO Hits $67B Valuation, Open-Source Agents Dominate GitHub
OpenAI co-founder Greg Brockman takes over product strategy, Cerebras IPO hits $67B market cap, and open-source agents OpenHuman and OpenClack dominate GitHub as AI shifts from capability to deployment.
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Tech Frontiers·3 min
GPT-5.6 Internal Testing Begins: A Complete Breakdown of the Week's Biggest AI Developments
GPT-5.6 internal testing launches UltraFast mode, Codex goal-driven mode revolutionizes AI programming, MiniMax cuts costs 360x, Anthropic vs OpenAI valuation war, Cerebras IPO raises $5.55B, Figure robot validates 8-hour autonomous ops, Google Vio 3.1 leads AI video.
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Product Reviews·3 min
Google Gemma 4 Hands-On Review: Offline on Smartphones + Ollama Deployment Tutorial
Hands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
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Product Reviews·3 min
Moore Threads AI Coding Plan: A Fully Domestic AI Programming Service with 30-Day Free Trial
Moore Threads launches AI Coding Plan powered by its MTT S5000 GPU and GLM-4 code model, achieving full-stack domestic AI coding. Compatible with VS Code and Cursor, with a 30-day free trial.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Industry Insights·4 min
In-Depth Analysis of the AI Large Model Job Market: Two Core Directions and Future Trends
In-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
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Tutorials·3 min
llama.cpp MTP Acceleration Deployment Guide: Configuration Steps & Real-World Benchmarks
Guide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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Deep Dives·3 min
Why Is Python the Top Choice for AI Development? Three Core Reasons Explained in Depth
In-depth analysis of three core reasons Python dominates AI development: simple syntax for quick onboarding, powerful ecosystem, and industry-wide network effects.
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Tutorials·3 min
Batch AI Image Generation on Mac: Lessons Learned from Generating 10,000+ Illustrations
Practical guide to batch AI image generation on Mac using Draw Things, covering prompt iteration strategies, negative prompt pitfalls, performance tips, and the decision to switch to Replicate cloud platform.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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