fix(types): dedup registered instance types by published name - #807
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fix(types): dedup registered instance types by published name#807vrv3814 wants to merge 4 commits into
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A cluster holding two board SKUs of one GPU model (ex. NVIDIA-A100-SXM4-80GB alongside NVIDIA-A100-80GB-PCIe) registered two instance types under the same published name. The GPU subdivision loop deduped on the raw GPU product name, which differs per board, while naming each entry from the normalized GPU name, which does not. Downstream services address an instance type only by name, so duplicates are indistinguishable to them: a request naming one resolves to every match and is dispatched once per match, creating an extra replica per duplicate. Dedup the single-node expansion on the published name instead, which is what the multi-node branch in the same loop already does. When two node SKUs collide the larger node's entry wins, since the loop sorts by GPU count descending; the smaller node is not separately addressable until instance names can distinguish them. This also covers capacity variants (A100 40GB alongside 80GB) and time-sliced nodes, which normalize to the same GPU name as well. TestToRegistration asserted the duplicate as expected output and has been corrected. NO-REF Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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📝 WalkthroughWalkthroughDynamic GPU registration deduplication now uses normalized published instance names and multipliers. Deterministic ordering selects consistent collision winners. Tests cover equivalent A100 board SKUs and input-order independence. ChangesGPU instance deduplication
Estimated code review effort: 2 (Simple) | ~10 minutes Mergeability Score: ⚪ Minimal · up to This change prevents duplicate instance-type names from creating duplicate dispatches by deduplicating on the published name. No actionable merge-blocking risk remains; it is merge-ready after normal checks and review. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Inline comments:
In `@src/compute-plane-services/nvca/pkg/types/resource_types.go`:
- Around line 444-455: Update the instance-type sorting comparator used before
deduplication to use a strict ordering and a deterministic tie-breaker when
GPUCount values are equal, so the same normalized name always selects the same
profile regardless of input order. Add a regression test covering equal GPUCount
entries with different CPU, memory, storage, and description values, and verify
the published result is stable when their input order is reversed.
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src/compute-plane-services/nvca/pkg/types/resource_types.gosrc/compute-plane-services/nvca/pkg/types/resource_types_test.go
The comparator returned true for equal GPU counts in both directions, which is not a strict ordering, so equal-capacity entries came out in an order that depended on how the input happened to be arranged. Reversing two 2-GPU nodes swapped which one was published. That was harmless while every entry was registered, but now that a name collision keeps only the first entry, the losing side's resource profile is dropped. Nodes arrive in listing order, which is not stable, so the profile published for a name could change from one reconcile to the next. Order by descending GPU count, then by the non-GPU resources, with FullName as a final tie-break, so any two instance types are totally ordered and the larger machine still wins. NO-REF Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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Inline comments:
In `@src/compute-plane-services/nvca/pkg/types/resource_types_test.go`:
- Around line 663-667: Update the profileOf helper around
BackendGPUs.ToRegistration to require exactly one surviving InstanceType in
got[0] before returning it, ensuring collision tests cannot pass when both
entries are dropped.
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- src/compute-plane-services/nvca/pkg/types/resource_types.go
profileOf only checked the outer RegistrationGPU count, so if both colliding entries were ever dropped the helper would return an empty slice, the equality check would compare nothing against nothing, and the description loop would not run. Assert the registered names instead, which pins the result to the two subdivisions the two SKUs share and stops the test holding vacuously. NO-REF Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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TL;DR
A cluster holding two board SKUs of the same GPU model registered two instance types under one published name, so a request for a single instance created one instance per duplicate. Dedup the GPU subdivision loop on the published name, and give the ordering that picks the surviving entry a deterministic tie-break.
Additional Details
BackendGPU.toDynamicRegistrationexpands each node's instance type into_1x/_2x/_4x/… subdivisions. It deduped onFullName, the rawnvidia.com/gpu.productvalue, but named each entry from the normalized GPU name:ParseGPUNamenormalizes both boards toA100, so both entries survived dedup and were published under the same name. A consuming service can only address an instance type by name, so duplicates are indistinguishable to it: a request naming one resolves to every match and is dispatched once per match.Two commits:
it.Name.WithMultiplier(i)), which is what the multi-node branch in the same loop already did — the single-node path was the outlier.sort.Slicecomparator usedGPUCount >= GPUCount, true in both directions for equal counts, so it was not a strict ordering and the result depended on input arrangement. Latent before, because every entry was registered and a bad order only shuffled the list. Once a collision keeps only the first entry, the loser's resource profile is dropped — and nodes arrive in listing order, which is not stable, so the profile published for a name could change between reconciles. Replaced withinstanceTypePrecedes: descending GPU count, then CPU, system memory, storage, per-GPU memory, withFullNameas a final tie-break.This is not limited to PCIe-vs-SXM.
ParseGPUNamealso collapses capacity variants (A100 40GB alongside 80GB) and drops the-SHAREDsuffix, so clusters mixing time-sliced and exclusive nodes of one GPU hit the same collision.Known limitation: the fix makes the choice of survivor deterministic; it does not make the losing node separately addressable. Two SKUs normalizing to one GPU name still collapse to a single instance type, derived from the larger machine because of the ordering. Distinguishing them requires the instance name itself to carry the SKU (e.g.
NCP.GPU.A100-80GB_1x), which changes existing function targeting and needs coordination on the consuming side. Out of scope here, and called out in the comment above the sort.Operator workaround for anyone hitting this before the fix ships — force both SKUs to one GPU name via the override label, which is used verbatim as both the GPU name and
FullName, so the dedup keys collide:Keeps published names unchanged, keeps the cluster at one GPU type so the
MultipleGPUTypesAllowedguard is not tripped, and needs no function re-targeting.For the Reviewer
Closest look at
toDynamicRegistrationinsrc/compute-plane-services/nvca/pkg/types/resource_types.go.Worth knowing:
TestToRegistrationwas asserting the bug. It expected twoON-PREM.GPU.A100_1xentries with different GPU memory — a mixed A100 40GB/80GB cluster hitting this exact collision, encoded as intended output. I corrected the expectation and left a comment saying why.The open question is the limitation above: collapsing to the larger machine means the smaller node cannot be targeted for that name. That is a deliberate trade — registering both was never a working alternative, it is what caused the duplicate dispatch — but if the preference is to advertise the smaller, universally schedulable profile instead, say so and I will flip the tie-break.
Checklist
Summary by CodeRabbit
Bug Fixes
Tests