214 related articles
Industry InsightsMeta partners with AWS to add tens of millions of Graviton cores for AI inference, diversifying its infrastructure to support Meta AI and Agentic experiences for billions of users.
Product ReviewsBenchmarking 4 solutions for running Qwen3.6-27B locally on Mac: GGUF, MLX Diflash, and MTP-LX. MTP-LX 4bit leads at 43.6 tok/s with solid coding, writing, and reasoning quality.
Product ReviewsReal-world test of Qwen 3.6 27B FP8 deployed on 4×3080Ti 16GB modded GPUs with OpenCode for system tool development. Covers hardware setup, inference speed, context management, and productivity gains.
Product ReviewsA deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
ResearchDeep dive into how Cursor trained Composer 2 via distributed RL, covering async pipelines, MoE numerical alignment, global weight sync, and more.
Tech FrontiersDeep dive into the RNDA data protocol: 256-byte encoding permanently destroys raw data across 31 data types including genomics and quantum circuits.
TutorialsLearn how to use AI tools to crack modified SHA-1 algorithms and 20,000+ lines of obfuscated JS code, reducing hours of traditional reverse engineering to just 20 minutes.
TutorialsHow to tell if your GPU is out of VRAM when running local LLMs. Learn the difference between dedicated and shared GPU memory, monitor VRAM overflow via Task Manager, and use quantization and context length control to avoid OOM.
Tech FrontiersGoogle releases Gemini 3.5 Flash, optimizing the balance between speed and capability. Analysis of Flash series evolution, comparisons with GPT-4o mini, and practical value for developers.
Product ReviewsBenchLocal real-world testing of DeepSeek V4 Pro, V4 Flash vs Qwen3.6 27B across 8 categories and 85 scenarios. V4 Pro leads by 6% but stumbles on math reasoning. Qwen3.6 Q6 rivals V4 Pro in agent tasks.
Product ReviewsBenchmarking 7-8 Qwen3.6 quantized models across 8 dimensions including tool calling, CLI ops, and bug fixing. Comparing NVFP4, APEX, Q4, Q6 with rankings and recommendations.
TutorialsComplete guide to deploying vLLM and SGLang locally. Compare performance vs LM Studio, deploy in 3 steps with Docker + AI assistant. Covers SGLang vs vLLM selection, 5090 VRAM optimization, and Cherry Studio integration.
TutorialsComplete walkthrough of reverse engineering Taobao's sign signature MD5 encryption, covering packet capture, breakpoint debugging, algorithm verification, and Python code generation with AI assistance.
TutorialsFull walkthrough of reverse engineering Tencent Slider CAPTCHA: CO value encryption tracing, tdcgs analysis, AI-assisted browser env simulation, gap detection, POW, and Python automation.
TutorialsLearn how to write Rules files in Cursor and Windsurf to generate consistent UI components with AI. Includes Apple Liquid Glass style case study, writing tips, and best practices for Angular, React, and Vue.
Deep DivesWill frequent Git commits fill your hard drive? Deep dive into Git's Delta compression and Packfile mechanism, revealing why pure code commits cost almost nothing and identifying the real culprit — large binary files.
Tech FrontiersDeep dive into StepFun's Step 3.5 Flash: 196B parameter MoE model activating only 11B, 350 tokens/sec coding speed, 256K context window, local deployment ready. How it beats Gemini 3 Flash.
TutorialsDeep dive into NVIDIA NCCL multi-GPU communication library principles and optimization strategies, covering AllReduce, NVLink, and GPUDirect RDMA to help HPC and AI developers master scaling from single-node to massive clusters.
TutorialsA deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
Product ReviewsDeep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.