AINewsnow

NobodyWho vs RunAnywhere: On-Device Inference Engine Comparison

This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.

On paper, NobodyWho and RunAnywhere look almost identical. They run LLMs locally on consumer devices such as laptops and phones, are built on llama.cpp, and both list the same features across Kotlin, Swift, Python, Flutter and React Native. The differences only show up once you put them in the same…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-09 08:21 · DEV Community — AI
    NobodyWho vs RunAnywhere: On-Device Inference Engine Comparison

More stories

  1. RPC: add `-sm tensor` by am17an · Pull Request #26610 · ggml-org/llama.cpp — r/LocalLLaMA
  2. Java vllm-like framwork claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile — r/LocalLLM
  3. 128K context on Qwen 3.5 4B in 800 MB instead of 4 GB: what we changed in our llama.cpp build. — r/LocalLLM
  4. Running a local server with Gemma 4 26b a4b on laptop rtx 4050 + 16gb ram dd5 and llama.cpp — r/LocalLLM
  5. GPU - Vulkan llama.cpp benchmarks sorted by price to performance — r/LocalLLaMA
  6. MTP in llama.cpp now decodes competitively with ds4 using GLM 5.3 Flash — r/LocalLLaMA
  7. Best current R9700 inference engine? — r/LocalLLaMA
  8. struggling with llama.cpp 2 x dgx spark mtp files start command (unsloth) — r/LocalLLaMA

Get the daily brief of stories like this at 6:30 every morning →