Version Mismatch Across GPU Software Stack Components

8/10 High

CUDA, driver, NCCL, container runtime, and Kubernetes device plugin version conflicts cause cluster flakiness when not strictly pinned, with uncontrolled upgrades introducing silent failures.

CUDANCCLKubernetes
Category
dependency
Workaround
solid
Stage
deploy
Freshness
persistent
Scope
framework
Recurring
Yes
Buyer Type
enterprise

Sources

Collection History

Query: “What are the most common pain points with GPU for developers in 2025?”4/8/2026

A stable base looks boring for a reason: pinned versions. CUDA + driver + NCCL + container runtime + Kubernetes device plugin need to be version-locked across the fleet. The fastest path to flaky clusters is 'rolling upgrades by vibes.'

Created: 4/8/2026Updated: 4/8/2026