llama.cpp and vLLM release updates for faster local AI inference

The latest release of llama.cpp, version b10174, now supports speculative decoding for the GLM-5.2 model, significantly accelerating token generation by using a smaller draft model to predict ahead. Concurrently, vLLM has released version v0.26.0, adding support for the Inkling model family and enhancing inference performance through piecewise CUDA graph support. These updates aim to improve the efficiency and accessibility of running large language models on local hardware. AI

IMPACT Improves efficiency and accessibility for running LLMs on local hardware.

RANK_REASON Updates to open-source inference engines and supporting infrastructure.

Read on dev.to — LLM tag →

• AMD
• CUDA
• GLM-5.2
• Inkling
• llama.cpp
• NVIDIA
• Stockfish
• vLLM

• model release
• infra

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →