Optimizing LLM Inference with NVIDIA Run:ai Model Streamer: Reducing Cold Start Latency

NVIDIA's Run:ai Model Streamer reduces LLM inference cold start latency by concurrently streaming model weights from storage into GPU memory. Benchmarked against Hugging Face's Safetensors Loader and CoreWeave Tensorizer, the Model Streamer significantly lowers model loading times, even in cloud environments. It remains compatible with the Safetensor format and optimizes inference performance by saturating storage throughput and accelerating time-to-inference.