A detailed guide on how to enable Peer-to-Peer (P2P) communication for RTX GPUs by modifying NVIDIA kernel modules on Debian/Ubuntu systems, and verifying bandwidth using CUDA Samples.
A comprehensive analysis of OpenAI's open-weight models, gpt-oss-120b and gpt-oss-20b. From MXFP4 quantization and configurable reasoning effort to agentic capabilities, we explore how it redefines the productivity benchmark for open-source models.
MiMo-V2.5-Pro: Redefining Ultra-Scale Open-Source Models MiMo-V2.5-Pro is a state-of-the-art open-source Mixture-of-Experts (MoE) language model. It features a total of 1.02 …
When compute and data become the only faith, has AI fallen into an inefficient scaling trap? Exploring the limitations of current AI architectures and their impact on human creativity.
GLM-5.1: Moving from Vibe Coding to Agentic Engineering GLM-5.1 is our next-generation flagship model specifically engineered for Agentic Engineering. Compared to its predecessor, …
Gemma 4: Ushering in a New Era of Open Multimodal AI Google DeepMind has officially released Gemma 4, a powerful family of open models. Unlike its predecessors, Gemma 4 is natively …
A longitudinal journey through 80 years of AI's rise and fall, analyzing key technical leaps from symbolic logic to deep learning and the era of Large Language Models.
From basic definitions to core principles, a comprehensive analysis of the nature of Artificial Intelligence, its working mechanisms, and its profound impact on modern society.
From a 1T parameter MoE architecture to swarm-based collaboration of 300 sub-agents, a comprehensive analysis of Kimi K2.6's breakthroughs in long-horizon coding, autonomous execution, and multimodal design.
A step-by-step guide on installing Codex CLI and its VS Code extension, including how to configure auth.json and config.toml for OpenAI and third-party API providers.
Comparing the most popular LLM inference frameworks: vLLM, Ollama, and llama.cpp. A detailed analysis of throughput, deployment difficulty, and hardware compatibility to help you choose the right one.
Faced with numerous quantization formats (GGUF, EXL2, AWQ, GPTQ), how do you choose the best version based on your VRAM capacity? This guide provides a detailed comparison and selection strategy.
A comprehensive guide on using nvidia-smi to inspect GPU topology and a deep dive into the meaning of topology identifiers (NODE, SYS, PHB, etc.) to optimize multi-GPU communication.
Tired of the latency of token-by-token generation? Discover how MTP (Multi-Token Prediction) achieves multi-fold speedups in LLM inference.
The Qwen 3.6 series has officially arrived! From native multimodal 'Thinking' modes to flagship Agentic programming, we dive into the killer features of Alibaba's latest AI.
Deep analysis of Google's next-generation open-model Gemma 4. Covering architecture differences from E2B/E4B to 31B, VRAM requirements, and Agentic capabilities.
A detailed guide on how to compile llama.cpp from source on Linux, covering basic CPU versions and NVIDIA GPU (CUDA) acceleration configuration steps. Includes complete compilation command reference.
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