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[Bugfix][Core] Stop zero-progress preemption cascades for deferred KV frees - #49675

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LearningMachine621:fix/zero-reclaim-preemption-cascade
Sep 11, 2026
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njhill merged 9 commits into
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LearningMachine621:fix/zero-reclaim-preemption-cascade

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@LearningMachine621 LearningMachine621 commented Jul 24, 2026 •

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Fixes #49674

Scope

This PR fixes one known zero-progress transition in the running-request
allocation retry. It does not change the deferred-free safety fence, model
output semantics, or FCFS/PRIORITY victim-selection policy.

Change

The scheduler now uses the existing deferred-free conditions through one
predicate. Before mutating the running queue, it applies that predicate to the
victim already selected by FCFS/PRIORITY. If the victim's free is fenced, the
current allocation retry stops. After output processing advances the fence,
the normal preemption/allocation path remains available.

def _should_defer_request_block_free(self, request: Request) -> bool:
    return (
        self.defer_block_free
        and request.last_sched_seq > self.processed_step_seq
    )

The predicate names the known deferred path. It does not claim that every
immediate free must increase the pool; shared references and other pins remain
outside this patch.

Correctness boundary

  • The existing safety invariant is unchanged: no KV block returns for reuse
    before its in-flight write is processed.
  • A guarded retry performs no victim removal, budget rollback, request-status
    transition, or preemption accounting.
  • Processing constructed model-runner outputs through the real scheduler update
    path advances the fence and restores the existing
    preemption/allocation path.
  • The fix: resolve silent request skipping in PRIORITY scheduling #49206 victim_index/req_index correction is preserved.
  • The guard is disabled when deferred freeing is disabled.

The implementation deliberately stops on the current policy-selected victim;
it does not scan for another candidate.

A-priori design trade-off

Stopping can leave the remainder of one scheduling pass unused even when a
different request might be immediately reclaimable. The possible costs are
head-of-line delay and transient under-utilization. This is the explicit,
pre-measurement trade-off for preserving current victim order in a narrow
correctness fix.

Alternative-victim scanning, capacity-aware admission, and generic checks for
other zero-delta causes are future policy questions:
separate future-policy RFC.

Validation

  • Base: f25c2692fe3081bdf89b58208d6bb995b43e92f0
  • Implementation: f4341c95dfd97f34b782d900337dc37357527d42
  • GPU-tested head: 8299effb6a555cbb9ae2d786a5b3d1dfd94ad316
  • Refined tests/helper tree: 8523fb4a831d08093552f034575bd1cf6e88aeb3
  • Publication head: 71521360db9f11494773f262248df0bbc668a59b

At the 2026-08-26 16:36 CST refresh, upstream main was 2267d3b112. The
relevant scheduler/test/helper paths were unchanged from the pinned base. The
publication head produced a clean merge tree (68dd1aacad81) with that moving
main; the production scheduler code in it is unchanged from the GPU-tested
head.

Deterministic red/green

The new case extends the existing deferred-free suite and injects exactly one
allocation failure. Before the fence advances, it asserts no preemption and
that the trigger is not scheduled. It then validates that ordinary preemption,
the real allocator, and request scheduling all resume after constructed
model-runner outputs pass through the scheduler's real output-update path.
The PRIORITY parameter forces victim_index < req_index to cover #49206.

CUDA_VISIBLE_DEVICES="" PYTHONNOUSERSITE=1 PYTHONOPTIMIZE=0 \
VLLM_NO_USAGE_STATS=1 VLLM_DO_NOT_TRACK=1 \
PYTHONPATH="${VLLM_CHECKOUT}" \
"${PYTHON}" -m pytest -q \
  tests/v1/core/test_deferred_block_free.py \
  tests/v1/core/test_priority_preemption_bug.py

Here ${VLLM_CHECKOUT} is the clean checkout at the refined publication tree
and ${PYTHON} is the isolated interpreter recorded in the artifact; the exact
resolved paths are preserved there.

  • Refined fix tree: 15 passed, 15 warnings in 17.94s.
  • Pinned base plus refined test-only tree
    c50dfb5019b5a359f4b74cb393d13d990e4a4446:
    2 failed, 13 passed, 15 warnings in 17.65s as expected.
  • FCFS made 3 allocator calls after one injected failure; the guard allows 1.
  • PRIORITY made 4 allocator calls when the single failure was injected on
    allocator call 2; the guard allows 2.

The CPU tests use upstream's existing public facebook/opt-* IDs; network was
limited to Hugging Face metadata/config resolution, with no model weights.

Repository checks

pre-commit run --files \
  vllm/v1/core/sched/scheduler.py \
  tests/v1/core/test_deferred_block_free.py \
  tests/v1/core/utils.py

All applicable hooks passed, including ruff, mypy, SPDX, forbidden-import, and
repository validation hooks.

Frozen pinned-base GPU experiment

The experiment uses upstream-main snapshot f25c2692, fetched on 2026-08-26,
and the official cu130 native wheel for that exact SHA. The PR changes Python
scheduler code and tests only. The non-confirmatory base preflight passed its
80/80 exact-OSL gate with 1051 preemptions; it only validates that the frozen
pressure point triggers and is excluded from the confirmatory table.

Artifact: release bundle, raw runs, environment, and checksums

Run validity

Role Affected runs Required result
Pinned base 5 80/80 in every run; zero failures; exact OSL 1792
Fix head 5 80/80 in every run; zero failures; exact OSL 1792

The required result is 80/80 requests, zero failures, empty errors, and exact
output length 1792 in every run.

Mechanism

Endpoint Pinned base mean ± sample SD (n=5) Fix mean ± sample SD (n=5) Fix/base
Preemptions 1099.800 ± 48.721 32.000 ± 0.000 0.0291 (34.4× lower)

The deterministic scheduler test validates the progress invariant;
preemption deltas measure the mechanism.

Workload-specific performance trade-off

Endpoint Pinned base mean ± sample SD (n=5) Fix mean ± sample SD (n=5) Fix/base or Δ
Output throughput (tok/s) 2310.671 ± 6.516 2354.637 ± 4.197 1.0190 (+1.90%)
P50 TTFT (ms) 995.702 ± 122.633 1016.034 ± 68.829 +20.332 ms
P99 TTFT (ms) 1547.926 ± 79.245 1554.195 ± 95.045 1.0041 (+0.41%)
P99 TPOT (ms) 33.662 ± 0.075 33.016 ± 0.030 -0.646 ms
P99 E2EL (ms) 61835.696 ± 171.789 60686.367 ± 116.669 0.9814 (-1.86%)

All three pre-registered point-estimate bounds passed. On this frozen
workload, stop-and-wait did not lower the output-throughput point estimate;
P99 TTFT moved by +0.41% and P99 E2EL by -1.86%. Individual paired P99 TTFT
effects ranged from -11.11% to +9.21%, so these measurements characterize this
workload rather than establish a universal latency result.

The pre-specified point-estimate guardrails are fix/base ratios of at least
0.95 for output throughput and at most 1.10 for P99 TTFT and P99 E2EL. These
are descriptive workload-specific thresholds, not confidence intervals,
hypothesis tests, or a universal no-regression claim. Per-pair effects and all
raw values are included.

The three A/B scope sentinels (async off, connector off, output length 1280)
are reported separately and are not pooled with the five affected pairs:

Sentinel Base preemptions / output tok/s Fix preemptions / output tok/s
Async off 45 / 1963.015 32 / 2074.462
Connector off 33 / 2338.411 45 / 2133.500
Output length 1280 666 / 2793.017 15 / 2839.666

Each sentinel is one pair, not an equivalence test. Their raw variation is why
performance interpretation is restricted to the five interleaved affected
pairs. The internal condition ID below_onset is not an outcome claim; the
newly reconstructed workload still triggered 666 base preemptions at OSL 1280.

Artifact contents

The artifact records the exact model revision, newly reconstructed frozen
workload and hashes, connector JSON, run order, each raw benchmark result and
Prometheus snapshot, server logs, environment/package checks, official
wheel/native comparison, aggregation code, and SHA-256 checksums. Historical
v0.24/v0.26/former-base measurements are context only and are not pooled with
this pinned-base experiment.

Non-goals and future policy

This PR does not choose a new victim when the current victim is fenced and does
not address shared-reference or connector-pin zero deltas. Those choices may
change fairness, starvation, latency, and throughput and require a separate
policy review in the
future-policy RFC.

Related work

The 2026-08-26 16:36 CST publication search found no replacement for this
deferred-free retry guard. Exact defer_block_free, deferred-free, and
zero-progress preemption searches returned #49674/#49675; the other results
concern encoder-cache retention, admission/QoS, output corruption, routed
experts, or the separate default-off #53723 LCF victim-policy proposal.

AI assistance

Claude assisted with the original implementation and tests. GPT assisted with
the current-main review, test reduction and refinement, experiment design,
harness hardening, analysis, and documentation.

On 2026-08-26 the human submitter confirmed review of every changed line and
reported result, accepted responsibility for the contribution, and approved
this disclosure. The commits retain AI Co-authored-by attribution where
applicable. Their Signed-off-by trailers separately record the human DCO
sign-off; they are not AI attribution.

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@mergify mergify Bot added v1 bug Something isn't working labels Jul 24, 2026
@LearningMachine621
LearningMachine621 force-pushed the fix/zero-reclaim-preemption-cascade branch 2 times, most recently from 58d3854 to f3c9b4e Compare July 24, 2026 06:41
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LearningMachine621 marked this pull request as ready for review July 24, 2026 07:27

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

@LearningMachine621
LearningMachine621 force-pushed the fix/zero-reclaim-preemption-cascade branch 2 times, most recently from 6ffd6c0 to 0066e34 Compare August 3, 2026 04:21
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Final validation update:

  • Rebased onto current main at 5c4fe4b.
  • Current-main Scheduler tests: 17 passed, including explicit
    fence-advancement coverage.
  • Current-main E2E A/B ×3: 1083.7 ± 280.8 → 23.7 ± 0.6
    preemptions (46× reduction), with 80/80 successful requests in all runs.
  • Local code/style checks passed. The all-files pip-compile hook could not
    complete because the local environment could not reach PyPI.

The PR is ready for maintainer review. Could a maintainer apply the
ready or verified label to enable CI when convenient?

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mergify Bot commented Aug 7, 2026

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This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @LearningMachine621.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

@mergify mergify Bot added the needs-rebase label Aug 7, 2026
nvyutwu added a commit to nvyutwu/vllm that referenced this pull request Aug 15, 2026
Carried forward from image layer v17 (= vllm-project#49675, still OPEN
upstream). With a KV connector configured and async scheduling on — both default
— defer_block_free is set, and preemption parks a victim's blocks in
deferred_frees behind a step fence instead of returning them to the pool. The
allocation-retry loop then re-reads an unchanged free-block count after every
preemption, so its only exit is evicting the entire running tail. Root cause of
the K3 c=64 CPU-offload collapse.

The guard peeks the policy-selected victim, and if its blocks cannot be reclaimed
this step, breaks the retry instead of preempting for no gain.

Merged by hand against upstream's newer index-based victim removal, which also
fixes a loop-cursor bug (victim_index < req_index). Both changes are kept: peek ->
guard -> upstream's removal.

⚠️ NEVER VALIDATED ON HARDWARE. Source analysis only; see Dockerfile.v17.
@mergify mergify Bot added the scheduler label Aug 19, 2026
Async scheduling with a KV-consumer connector defers request block frees until
the corresponding output step has been processed. The running-request
allocation retry loop could nevertheless preempt a policy-selected victim
whose blocks were still behind that fence. Since that preemption could not
satisfy the retry, the loop could cascade through the running queue without
making usable KV capacity available.

Reuse the deferred-free predicate in a small helper and stop the current retry
before mutating the running queue or scheduling budget when the selected victim
must still be deferred. The trigger stays runnable and can retry after output
processing drains the deferred frees.

This is deliberately scoped to the predictable deferred-free case: it does not
change FCFS or PRIORITY victim selection, weaken the output-safety fence, or
claim to detect every possible zero-delta block free. The trade-off is that the
scheduler can leave capacity unused for one step instead of scanning for a
different victim; broader victim-selection policy belongs in a separate RFC.

Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com>
Co-authored-by: Claude
Extend the existing deferred-block-free scheduler tests with deterministic
FCFS and PRIORITY cases. Each case injects exactly one allocation failure while
delegating every other call to the real allocator.

Before the output fence advances, assert that the selected victim is not
preempted and the running queue is unchanged. After processing the real
in-flight outputs, inject the same one-shot failure and assert that the victim
is preempted and the trigger is successfully scheduled by the real allocator.
The PRIORITY case also covers a victim before the trigger in the running queue
and verifies that a later request is not skipped when the cursor moves.

Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com>
Co-authored-by: Claude
Configure FCFS and PRIORITY through the existing scheduler test helper instead of rewriting scheduler queues after construction. Assert the fence stop and resumed allocation through SchedulerOutput while retaining allocator call-count checks for one-shot fault injection.

Production scheduler code is unchanged from the GPU-tested head 8299eff.

Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com>

Co-authored-by: GPT
@LearningMachine621

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Maintainer handoff after the 2026-08-26 refresh:

  • The branch is now 71521360db9f11494773f262248df0bbc668a59b. GitHub reports it as mergeable. At the 16:36 CST refresh, main was 2267d3b112; the relevant scheduler/test/helper paths were unchanged from the pinned base, and the publication head produced a clean merge tree (68dd1aacad81).
  • Targeted deterministic validation is 15 passed on the fix. The pinned base plus the refined test-only tree is 2 failed / 13 passed as expected. All applicable local pre-commit hooks passed.
  • The public reproducibility release contains 16/16 gated raw runs, environment/native provenance, logs, aggregation/validation code, and checksums. In the five affected pairs, preemptions changed from 1099.800 ± 48.721 to 32.000 ± 0.000 (34.4x lower). Output throughput changed by +1.90%, P99 TTFT by +0.41%, and P99 E2EL by -1.86%; these are workload-specific descriptive results, not a universal no-regression claim.
  • The PR body now separates the narrow correctness/progress guard, its explicit stop-and-wait performance trade-off, and the future-policy RFC.

The latest pre-run-check failed only because this account has 0 merged PRs and the PR lacks verified, ready, or ready-run-all-tests; the actual upstream pre-commit job was skipped. If the evidence is sufficient, could a maintainer reassess the stale needs-rebase label and add the appropriate authorization label so upstream CI can run?

Signed-off-by: Nick Hill <nickhill123@gmail.com>

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@LearningMachine621 thank you for this fix and sorry for the delay in reviewing!

I made a small modification to change the method name for clarity.

@njhill njhill added the ready ONLY add when PR is ready to merge/full CI is needed label Sep 10, 2026
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✅ @LearningMachine621, CI is now available for this PR.

  • /ci run starts upstream CI; /amd-ci run starts AMD CI only.
  • /ci retry retries failed jobs in the CI build for the current PR head. If the current head has no CI build, it starts a new CI build for the current head containing only jobs that failed in the latest earlier CI build for this PR.
  • /amd-ci retry retries failed jobs in AMD CI for the current PR head. Use /amd-ci run when the current head has no AMD CI build.
  • /ci cancel cancels scheduled or running CI builds for this PR branch; /amd-ci cancel does the same for AMD CI only.

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✅ Triggered Buildkite CI #88187 for commit 16970895e901.

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njhill enabled auto-merge (squash) September 10, 2026 19:07
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✅ Triggered Buildkite CI #88198 for commit 75aa7fadf001.

Signed-off-by: Nick Hill <nickhill123@gmail.com>
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njhill force-pushed the fix/zero-reclaim-preemption-cascade branch from 75aa7fa to b5ae997 Compare September 10, 2026 22:05
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✅ Triggered Buildkite CI #88214 for commit 36e0b41dc849.

@njhill
njhill merged commit 84030bb into vllm-project:main Sep 11, 2026
106 checks passed
nvyutwu added a commit to nvyutwu/vllm that referenced this pull request Sep 13, 2026
Carried forward from image layer v17 (= vllm-project#49675, still OPEN
upstream). With a KV connector configured and async scheduling on — both default
— defer_block_free is set, and preemption parks a victim's blocks in
deferred_frees behind a step fence instead of returning them to the pool. The
allocation-retry loop then re-reads an unchanged free-block count after every
preemption, so its only exit is evicting the entire running tail. Root cause of
the K3 c=64 CPU-offload collapse.

The guard peeks the policy-selected victim, and if its blocks cannot be reclaimed
this step, breaks the retry instead of preempting for no gain.

Merged by hand against upstream's newer index-based victim removal, which also
fixes a loop-cursor bug (victim_index < req_index). Both changes are kept: peek ->
guard -> upstream's removal.

⚠️ NEVER VALIDATED ON HARDWARE. Source analysis only; see Dockerfile.v17.

(cherry picked from commit 19a2c1a)
ItsRoy69 pushed a commit to ItsRoy69/vllm that referenced this pull request Sep 15, 2026
… frees (vllm-project#49675)

Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com>
yiz-liu pushed a commit to vllm-project/vllm-ascend that referenced this pull request Sep 18, 2026
## What this PR does / why we need it?

Enable GLM-5.2 DSpark + pipeline parallelism in Model Runner V2 while
supporting both released and mainline vLLM builds.

| Paired vLLM version | Speculative PP implementation |
| --- | --- |
| 0.28.x / 0.29.x | Install the vLLM 0.30 PP sampled-token protocol
(pure-function participation gate, immediate broadcasts, receive-side
generation-counter filtering) onto the release PPHandler. This replaces
the legacy deferred-broadcast transport that deadlocked under KV
saturation with async EPLB. Delete once the paired vLLM ships the
protocol natively. |
| 0.30+ | Use upstream PP initialization, draft broadcast, request-state
writeback, and aux relay natively. No Ascend protocol patches are
installed. |

- Centralize version selection in `pp_utils.use_legacy_spec_pp()`. All
call sites are annotated with the retirement condition.
- Add GLM to the DSpark PP support map. On the native path, connect its
DeepSeekV2 decoder to the upstream `EagleModelMixin` slot bookkeeping
and capability check.
- Capture aux states on the stage producing them, including `end_layer`,
so a boundary state is transmitted exactly once. Dual-path support:
legacy `pp_transport` buffers (0.28/0.29) and upstream relay (0.30+).
- Construct the Ascend speculator only on the last PP rank on both
paths.
- Mask the target's manual PP partition during DSpark draft loading on
both paths, restoring it even on exceptions.
- Retain GLM's local MoE layer count for MRV2+PP EPLB maps.
- DeepseekV2 MLA attention init with Ascend IndexCache and top-k
skip-pattern support.

> **Note for 0.28/0.29 release trains:** when using this feature at high
load, backport vllm-project/vllm#49675 (~19-line scheduler check that
stops zero-progress preemption cascades for deferred KV frees). Without
it, KV saturation with async EPLB triggers a preemption storm and
potential engine stall.

## Does this PR introduce any user-facing change?

GLM-5.2 DSpark can use MRV2 PP with either supported release lane or the
upstream PP implementation. No new switches or environment variables are
introduced.

For the previously tested GLM-5.2 W4A8 + EPLB configuration, use
`additional_config.enable_fused_mc2=1` to avoid the independently
identified non-fused grouped-matmul bias-list issue.

## How was this patch tested?

### Hardware validation (169 server, 16× Ascend 910B)

**vLLM 0.30 (upstream protocol, `84030bbe3`)**

| Test | Config | Result |
| --- | --- | --- |
| GPQA full 198 questions | c24, u0.85, mns12, KV pool 365K | **176/198
= 88.89%**, 0 failures, 0 stalls, 40 preemptions |
| GPQA c32 partial | c32, u0.80, KV pool 306K | 109/198 before voluntary
stop, 0 failures, 95 preemptions |

**vLLM 0.28 + this PR's protocol + #49675 backport**

| Test | Config | Result |
| --- | --- | --- |
| GPQA partial (terminated at 97/198) | c32, u0.80, KV pool 306K, async
EPLB | **91/99 = 91.92%** on completed questions, 0 failures, **0
stalls** (vs. deadlocks without fix), 78 preemptions |
| Same-question comparison vs 0.30 | — | 91.92% vs 91.92% (exact match),
94.95% per-question answer agreement |

**vLLM 0.29 legacy protocol (before this PR's fix, for reference)**

| Test | Config | Result |
| --- | --- | --- |
| GPQA c32 (stalled) | c32, u0.80, KV pool 306K, async EPLB | Deadlocked
at 66/198, 44,202 preemptions, 20+ min zero-progress stall |

### CPU tests

- **143 pytest cases passed**: version routing, partition restoration,
draft-loader isolation, PP2/PP4 aux equivalence to unpartitioned
execution, V1 setter preservation, local EPLB layer counts, protocol
broadcast ordering and purity, model-runner/PCP regressions.

### Smoke test (169 native path)

GLM-5.2 W4A8, PP2×DP2×TP4, DSpark7, async scheduling, prefix cache,
chunked prefill, EPLB. Loading, single request, and 10 concurrent
requests all pass with correct outputs.

- vLLM main:
vllm-project/vllm@84030bb

Signed-off-by: LostFox11 <wangziyue17@huawei.com>
Co-authored-by: LostFox11 <wangziyue17@huawei.com>
sammshen added a commit to LMCache/LMCache that referenced this pull request Sep 22, 2026
…d async results

Under vLLM async scheduling with a consumer-role connector the 0.28.1
scheduler defers block frees but keeps preempting down the running list, so
preemption counts are ~10x the baseline (fixed upstream in vllm-project/vllm#49675).
Correctness held in both transfer modes.
sammshen added a commit to LMCache/LMCache that referenced this pull request Sep 24, 2026
With a consumer-role connector vLLM defers block frees to the end of the
in-flight step under --async-scheduling, so preemption takes a different
path and deserves its own matrix entry.

The methodology needs no changes: the low-concurrency rungs still see
exactly zero preemptions, so the bound that makes them a valid reference
holds in both modes. Measured on Qwen3-14B over 99 ShareGPT requests,
every rung reproduces its reference in both modes, and the sync and async
references agree with each other, so scheduling mode does not change the
answers.

What does change is the preemption count on the preempting LMCache rung:
about the same as the baseline under sync scheduling, roughly five times
as often under async (308 against 60). That is the vLLM scheduler
preempting victims whose deferred frees make their blocks unusable, so one
shortfall cascades; fixed upstream in vllm-project/vllm#49675. Wall time
was not materially affected. Recorded in the design doc so the numbers can
be read against the pinned vLLM.
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[Bug]: Deferred KV block frees cause zero-progress preemption cascades with async KV consumers

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