DeepSpeed-MII
Explore an open-source Python library emphasizing high-throughput, low latency, and cost-effectiveness in model inference. Key features include blocked KV-caching, continuous batching, and advanced CUDA kernels, supporting models like Llama-2-70B. The latest version enhances performance and throughput by up to 2.5 times, significantly improving over existing systems. Ideal for both non-persistent and persistent deployments, this library simplifies process integration and optimizes operations across diverse environments.
