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[PD] Opt-in Core transfer path for NIXL — review MVP - #1
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Snapshot of the current endpoint-transfer prototype for review in the author's fork. Native GPU performance parity and full end-to-end framework validation remain open; this is not an upstream-ready change. Assisted-by: OpenAI Codex Signed-off-by: Samuel Nordmann <snordmann@nvidia.com>
This was referenced Sep 17, 2026
Restore shared lifecycle, wire and staging code to the review base. Wrap the existing NIXL agent only when explicitly enabled; retain the native default. Assisted-by: OpenAI Codex Signed-off-by: Samuel Nordmann <snordmann@nvidia.com>
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Motivation / modifications
An opt-in Core transfer experiment using
SGLANG_DISAGGREGATION_NIXL_USE_TORCH_TRANSFER=1. Wrap the existing NIXL agent; default remains unchanged. Preserve bootstrap, staging, CUDA ordering, wire messages and allocation/lifecycle policy.Requires Core MVP and NIXL provider/shim. The prior shared-protocol/Rust/Mooncake changes have been removed.
Accuracy / speed tests
Modified Python files passed static checks. The existing
test_nixl_backend_basic.pysuite could not collect locally: missingorjson. Shared shim contract tests passed (4 CPU tests with mocked native calls); this is not an SGLang runtime result.No serving/GPU or speed validation. Success-path review prototype only; active abort/recovery is not supported. AI-assisted fork draft; human review and end-to-end validation pending.