3 results for “MLX”
Hugging Face hired Jun Kim, creator of the oMLX library, to support the MLX ecosystem on Apple Silicon. The move funds a key bridge between Transformers and MLX, speeding local AI on Mac hardware.
Apple debuted its first 2 nm chip, the M6, in the new Mac mini and the quad-die M5 Ultra in the new Mac Studio. The M5 Ultra's 512 GB unified memory and 1.2 TB/s bandwidth let developers run massive AI models locally without cloud costs.
Liquid AI has released the LFM2.5 model family, a comprehensive suite of open-weight models designed to run entirely on edge devices without cloud. The LFM2.5 releases address three critical constraints that have limited on-device AI.