mirror of
https://github.com/kvcache-ai/Mooncake.git
synced 2026-11-05 01:17:55 +00:00
[GH-ISSUE #1123] [RFC]: Support hugepage memory allocation via mmap to bypass RDMA memory registration limits #375
Labels
No labels
ascend
auto-closed
bug
bug
CI/Build
Common
documentation
enhancement
feature request
good first issue
help wanted
high priority
MetaX
nightly-failure
pull-request
PyTorch Backend
question
RFC
Roadmap
stale
Store
Tests
Transfer Engine
No milestone
No project
No assignees
1 participant
Notifications
Due date
No due date set.
Dependencies
No dependencies set.
Reference
kvcache-ai/Mooncake#375
Loading…
Add table
Add a link
Reference in a new issue
No description provided.
Delete branch "%!s()"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
Originally created by @xiaguan on GitHub (Nov 27, 2025).
Original GitHub issue: https://github.com/kvcache-ai/Mooncake/issues/1123
Changes proposed
Many RDMA environments have memory registration limits, causing registration failures when users try to start instances with large memory configurations.
Add support for users to specify hugepage-based memory allocation using
mmap, which can bypass RDMA memory registration limits.Before submitting a new issue...
@xiaguan commented on GitHub (Nov 27, 2025):
Welcome to contribute! 🎉
@stmatengss commented on GitHub (Nov 27, 2025):
Could you add this feature to #414 ? @xiaguan
@xiaguan commented on GitHub (Nov 28, 2025):
Good, let me add this
@dongb0 commented on GitHub (Feb 20, 2026):
It seems this feature has already been implemented in #1300. Should we close this issue, or is there anything still needs to be done? I'm happy to help.
@stmatengss commented on GitHub (Feb 27, 2026):
True. It is done.
@stmatengss commented on GitHub (Feb 27, 2026):
Maybe you can try to optimize the memory management.