VLLM
DeepSeek V4 Flash vs Pro: What Actually Dropped and How to Run It
DeepSeek V4 preview dropped April 23 with two MoE variants: Pro at 1.6T/49B active and Flash at 284B/13B active. Both MIT, both 1M context. Flash is the news.
Razer AIKit Guide: Multi-GPU Local AI on Your Desktop
Open-source Docker stack bundling vLLM, Ray, LlamaFactory, and Grafana into 1 container. Auto-detects GPUs, supports 280K+ HuggingFace models, and handles multi-GPU parallelism.
Best Dual-GPU Local AI Setup: RTX 3090, 5060 Ti (2026)
Dual RTX 3090, 2x RTX 5060 Ti, 2x 2080 Ti modded, mixed setups: real configs for Qwen 3.6, MoE, 70B. Tensor vs pipeline parallelism, llama.cpp/vLLM.
Fastest Local LLM Setup: Ollama vs vLLM vs llama.cpp Real Benchmarks
vLLM handles 4x the concurrent load of Ollama on identical hardware. But for single-user local use, Ollama is all you need — except on Qwen 3.6, where the mmproj bug forces you to llama.cpp. Benchmarks, ik_llama.cpp for MoE, and a clean decision framework.