SwiftLM Unlocks High-Performance LLM Inference on Native Apple Silicon

SwiftLM brings enterprise-grade language model inference to Apple devices by eliminating Python dependencies and leveraging native Apple Silicon optimization. Its advanced TurboQuant compression cuts KV cache memory consumption by 3.5× while preserving accuracy, enabling previously impossible feats like running 122B-parameter models on consumer Macs. This signals a broader shift toward efficient, on-device AI inference that could reshape how developers deploy intelligence across Apple's expanding hardware ecosystem.