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Bound warm workers' host memory and account local RAM
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A worker over FLOW_WORKER_MAX_RSS_MB (--worker-max-rss) when its node
returns is retired instead of kept warm, in the shared pool and in every
declared one; 0, the default, keeps them all. The engine now accounts its
own memory (FLOW_RAM / --ram, else the box or the cgroup limit less 1 GB),
so a node's `ram` declaration holds locally. A declared environment the
shared pool already has is that pool rather than a duplicate set of warm
workers.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
stroblme
2026-09-27 16:11:13 +02:00
co-authored by Claude Opus 5.5
parent cc4091166e
commit dafdcb76c4
10 changed files with 143 additions and 8 deletions
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docs/code/cli.md
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@@ -79,6 +79,8 @@ Another instance's Fluksio on the port is named, and the move happens as usual.
| `--max-cascades N` | 4 | cascades in flight at once (`FLOW_MAX_CASCADES`) |
| `--max-workers N` | 4 | python worker processes (`FLOW_MAX_WORKERS`) |
| `--gpus N` | counted | GPUs on this machine a node may be given (`FLOW_GPUS`) |
| `--ram MB` | worked out | memory on this machine a node may be given (`FLOW_RAM`) |
| `--worker-max-rss MB` | 0 (never) | retire a warm worker holding more when its node returns (`FLOW_WORKER_MAX_RSS_MB`) |
Cards are counted from NVIDIA's device nodes (`/dev/nvidia0`, `/dev/nvidia1`, …),
which asks no vendor tool and so keeps the one dependency from becoming two.