Alternatives to Apple MLX
Apple MLX and 3 alternative tools evaluated on the Tekai technology radar.
Apple MLX
SubjectApple's open-source array framework for machine learning on Apple Silicon, providing unified CPU/GPU memory semantics, NumPy-compatible APIs, and multi-language support (Python, Swift, C, C++) for on-device training and inference.
Alternatives
Ollama
An open-source local LLM inference engine that simplifies downloading, running, and managing large language models on personal hardware with a single command.
vLLM
High-throughput open-source LLM inference and serving engine using PagedAttention for memory-efficient KV cache management, achieving 2–24x throughput improvements over naive serving approaches.
SGLang
High-performance open-source LLM and multimodal model serving framework with RadixAttention for KV cache reuse, overlap scheduling, and expert parallelism, deployed across 400,000+ GPUs worldwide and used as the inference backend for Fish Speech and major LLM deployments.