λScale is a novel serverless system enabling rapid scaling of large language models to handle dynamic workloads with minimal startup delays.

Key innovations:

• Fast Scaling: Reduces model startup overhead significantly for efficient handling of bursty workloads
• RDMA-Based Model Multicast: Enables parallel distribution of large model parameters
• Optimized Memory Management: Efficiently handles weight sharing across multiple model instances
• Execution Pipelining: Overlaps computation and communication for improved performance

This research addresses critical engineering challenges in deploying LLMs in production environments, making serverless infrastructure viable for modern AI workloads while improving resource utilization and response times.

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference