8 articles found
vLLM’s official support for AMD’s Ryzen AI MAX 395 and AI 300 series transforms the local inference landscape, finally giving NVIDIA some real competition.
Anthropic’s coding agent escapes cloud confinement with llama.cpp integration, reshaping local AI development.
Testing reveals quantization thresholds where LLM capabilities degrade, exposing which tasks survive compression and which fail miserably.
After months of development, Qwen3-Next is finally coming to llama.cpp with optimized CUDA operations, enabling fast local inference on consumer NVIDIA hardware.
LLaDA2.0’s MoE-powered diffusion architecture challenges everything we know about local AI deployment
PewDiePie’s local AI experimentation reveals consumer-grade hardware can challenge cloud services, while exposing the raw power and risks of open models.
Z.ai’s latest model pushes boundaries with 200K context and 15% efficiency gains, but can your rig handle the 204GB quant?
China’s vision-language model outperforms GPT-5 Mini and Claude Sonnet while running locally – and developers are taking notice