High [CVE-2026-94627] Denial of Service via GPU memory exhaustion
This high-severity Red Hat Linux advisory covers CVE-2026-94627; related products: Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI).
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Summary
Denial of Service via GPU memory exhaustion. Red Hat rates this important (CVSS 7.5).
Weakness: CWE-772.
Affected products named by the advisory: Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI).
- 0.29.0
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
Fixed versions
No fixed release is recorded yet. That does not prove no patch exists — confirm against the vendor advisory.
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
Mitigation checklist
- Avoid using the Mooncake KV transfer connector in disaggregated prefill and decode topologies. Deploy inference workloads in standard standalone mode where prefill and decode are handled within the same instance. Additionally, restrict network access to the model serving endpoints to authenticated and authorized clients using Red Hat OpenShift NetworkPolicies or API gateway rate limiting. Caveats: Running without disaggregated prefill and decode execution can reduce throughput under heavy concurrent traffic. Network filtering requires callers to be within trusted cluster namespaces or behind authenticated proxies. Warning: Modifying serving runtime deployment manifests or restarting inference services will cause temporary service interruption while pods are recreated.
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
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