- managed_alloc.cu: PyTorch pluggable allocator using cudaMallocManaged
- vllm_managed_mem.py: Launcher that patches vLLM for managed memory
- Dockerfile: Build and install managed memory components
This enables vLLM to use cudaMallocManaged for transparent page-fault
access to both HBM (~96 GiB) and LPDDR (EGM, up to 480 GiB additional)
on GH200 systems with Extended GPU Memory enabled.
Experimental branch: v0.19.0-cmm
