MagicDec redefines speculative decoding to simultaneously achieve high throughput and low latency for long-context LLM applications—a breakthrough in serving efficiency.

• Challenges conventional wisdom that speculative decoding only works well for small batch sizes
• Optimizes KV cache usage specifically for long-context scenarios
• Achieves significant speedups even with large batch sizes, enabling better resource utilization
• Delivers practical performance gains for real-world applications like chatbots and document analysis

This engineering innovation directly addresses a critical bottleneck in AI infrastructure, allowing organizations to serve more users with better response times while using the same computing resources.

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding