RTX 5060 Ti: PCIe bandwidth irrelevant for inference
A community benchmark on LocalLLaMA confirms that PCIe bandwidth has zero impact on single-GPU LLM inference speeds when models fit in VRAM. Testing a Qwen 3.5 9B model across PCIe 3.0 x2 and PCIe 5.0 x8 links showed identical token generation performance, reinforcing that internal memory bandwidth remains the primary bottleneck.
PCIe bandwidth is a ghost for single-GPU chat but remains a critical bottleneck for the high-frequency context swapping required by agentic workflows. Single-GPU decoding is bound by GPU memory bandwidth, but agentic loops involving massive document prefilling will stall on PCIe 3.0 x2 links. Furthermore, multi-GPU tensor parallelism is effectively non-viable on low-bandwidth links, and loading times are up to 10x slower, adding friction to dynamic model swapping.
DISCOVERED
56d ago
2026-04-01
PUBLISHED
57d ago
2026-03-31
RELEVANCE
AUTHOR
ubnew