42 related articles

In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.

Netpreme integrates X-Mem™ MPU into SGLang HiCache, achieving up to 6.7× TTFT reduction and 33–50% TPS gains at 98% prefix cache hit rates. Here's the technical breakdown.

A step-by-step guide to combining Codex with Ollama to deploy open-source AI large models locally. Private data, no subscription, offline operation, no VPN needed. Includes hardware selection and setup.

RTX 4090 taking over 400 seconds to run Qwen3 27B inference? This article analyzes the core causes—VRAM overflow and CPU offloading drag—and offers targeted fixes.

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.

Samsung's chip division is set to earn more profit in one year than in its past 40 years combined, with quarterly profit surging 19x YoY, surpassing NVIDIA. AI data centers are seizing HBM and DRAM capacity, driving up DDR5 and SSD prices.

Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.

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.

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.

A systematic guide to Alibaba Cloud website architecture covering DNS, CDN, WAF, CLB/ALB, ECS, Redis, NAS/OSS, and auto scaling along the full user request path.

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

A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.

Redis creator Antirez's DS4 inference engine tested: running DeepSeek V4 Flash locally on a 128GB Mac via asymmetric structure-aware quantization, with real-world coding benchmarks.
TutorialsGuide 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.
Industry InsightsDeep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
Tech FrontiersCloudflare contributes decode KV cache offload and Mooncake recovery fixes to SGLang, resolving garbled output under high concurrency for Kimi K2.6 and enabling automatic fault recovery in distributed inference.
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.
TutorialsDecode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.
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.
TutorialsComplete guide to deploying OpenAI's open-source GPT-OSS model locally with Ollama. Real-world testing of the 20B version on RTX 4090 covering Chinese comprehension, logical reasoning, and VRAM usage analysis under MoE architecture.