72 related articles

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

NVIDIA TensorRT now supports multi-device inference via pipeline and tensor parallelism, distributing large models across multiple GPUs to break through single-card memory limits.

An in-depth analysis of reverse-engineering Nvidia CUDA-checkpoint to accelerate GPU cold starts. Covers checkpoint/restore, Serverless GPU prospects, and VRAM snapshot challenges.

A Reddit hobbyist builds a four-wheel skid-steer off-road robot using hoverboard hub motors, ODrive boards, and a Raspberry Pi 5. A deep dive into hardware, 4G teleop, ground friction challenges, and the road to ROS2 autonomous navigation.

Unsloth v0.1.463-beta fixes a Studio crash caused by access-denied errors during llama-server service discovery. Improves stability for multi-user servers and Windows environments.

Rising RAM and storage prices have eroded gaming laptop value. This guide breaks down the causes, cost pass-through, and offers practical buying advice plus MSI value picks.

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

OpenAI's top flagship model integrates with Codex, hitting 750 tokens/sec on Cerebras wafer chips. We break down MoE architecture, subscription changes, and open-source advances from Hunyuan and Longcat 2.0.

Build a fully private local AI system with Ollama + Hermes: zero cost, no rate limits, data stays local. Learn deployment steps, model selection tips, and private/cloud hybrid workflows.

DeepSeek and Peking University release DiSpark, an open-source framework that speeds up LLM inference by 60–85% using speculative decoding and hierarchical verification — no hardware changes or retraining required.
NVIDIA Nsight Tools in Practice: A Per…
Learn how to optimize neural reconstruction pipelines using NVIDIA Nsight Systems and Nsight Compute — from CPU-GPU sync blocking to kernel-level profiling for autonomous driving simulation.
NVIDIA GQE Deep Dive: How GPU Query En…
A deep dive into NVIDIA GQE's architecture: how HBM, NVLink, and memory-hierarchy-aware execution models help GPU query engines overcome I/O and bandwidth bottlenecks.

AMD Ryzen AI Halo dev kit at $4,000 features 128GB unified memory and XDNA 2 NPU for local LLM inference. Deep dive into architecture, performance trade-offs, vs. Mac Studio, and software ecosystem challenges.

Paint the Earth is an open-source project letting users worldwide paint together in real time on an interactive 3D globe. This article breaks down its WebGL rendering, WebSocket real-time sync, and the social value behind collaborative art.

Using the Fable porting framework, Command & Conquer: Generals has been natively ported to macOS, iPhone, and iPad. Explores DirectX-to-Metal challenges, touch adaptation, and game preservation.

Redis creator runs 284B-parameter DeepSeek model on a MacBook Pro at 26 tokens/sec using a pure C engine, asymmetric quantization, and MoE architecture.

How to build a local AI inference server with 4 used RTX 3090 SXM4 GPUs to run GLM-5.2 via Llama.cpp and Unsloth IQ quantization, with real benchmarks on speed and quality.

Deep dive into how the DAQIRI platform embeds NVIDIA GPU-accelerated computing into high-speed data acquisition pipelines, enabling real-time AI inference for industrial inspection, scientific experiments, and autonomous driving.

A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.