SGLang Makes Model Restarts Nearly Instant

This turns engine recovery from a storage problem into a process-management problem—a major win for large-model serving, though the headline speedup depends on keeping GPU memory reserved.

• –Persistent daemons let crashed or restarted engines reuse existing GPU-resident weights
• –CUDA IPC provides zero-copy access without duplicating the model on the same GPU
• –The biggest benefits target large models where reloads and quantization consume several minutes
• –Deployments must budget dedicated GPU memory and manage daemon lifecycle carefully
• –Current limitations include cache discovery and topology mismatches across multiple instances