mlx-signal-processing brings 10-200x faster signal ops to Apple Silicon
TheMoonMidas · x · 2026-09-01
mlx-signal-processing is released for accelerated signal processing on Apple Silicon, utilizing custom Metal kernels. It achieves 10x to 200x speedups over scipy.signal and significantly outperforms torchaudio with MPS backend. The API is compatible with scipy.signal, accepting NumPy or MLX arrays and returning MLX arrays.
More from Infra
- MiniCPM-V 4.5 MoE reportedly hits 13+ tokens/s on iPhone with just 3GB memory — heyshrutimishra · 2026-10-16
- Solo-built Vulkan inference engine LaForge hits ComfyUI-level SD1.5 speed: 512px in 0.8s, 402MB container — Ichidan256 · 2026-10-16
- Trading 2 RTX 5090s for 4 R9700s: does doubled VRAM pay off? — poofph · 2026-10-16
- Running PolyStrata + Cline coding agent on a $0-fancy laptop at ~90 tok/s — rpwoerk · 2026-10-16
- TensorFold 1.0.12 runs 120B vision model on 1-2 DGX Sparks, adds Mac image input — HankYeomans · 2026-10-16
- vLLM brings frontier model local deployment to NVIDIA RTX Spark PCs — vllm_project · 2026-10-16