Unlocking 3x Faster LLM Inference on MacBooks: The KVSplit Quantization Breakthrough

Efficient LLM Inference on Apple Silicon: The KVSplit Breakthrough Introduction: Redefining Memory Constraints with Smart Quantization KV Cache Memory Comparison Running large language models (LLMs) on consumer MacBooks has long faced two critical challenges: memory limitations for long contexts and sluggish inference speeds. Traditional solutions forced trade-offs between precision and performance – until KVSplit introduced differentiated key-value quantization. This groundbreaking approach achieves: • 72% memory reduction • 3x longer context handling • 8% faster inference • <1% quality loss This deep dive explores the technical implementation, empirical results, and practical applications of this paradigm-shifting technology. Core Innovation: Why Treat Keys …