llamaperf

Qwen3 8B

on NVIDIA RTX 5080 · llama.cpp · 40,960 ctx

Tone: mixedNVIDIA hardware
Oct 26, 2026
Throughput
130.6 t/s gen
Quant
Q4_K_M (GGUF)
KV cache
Q8
VRAM reported
16 GB

Use cases

codinglong-context

Summary

User compares an RTX 5080 desktop against a rented DGX Spark on Qwen3-8B Q4_K_M, where the PC decodes at 130.55 t/s versus 42.43 t/s on Spark at 512 input tokens, roughly three times faster. Both ran llama.cpp release b11889 with Q8 KV cache, Flash Attention and a 40,960-token context; the PC kept the whole model on its 16 GB card. Decode falls to 79.09 t/s on the PC and 25.64 t/s on Spark at 32,768 input tokens. With Qwen3-32B the PC needed CPU offload (40 GPU layers) and managed 4.92 t/s against Spark's 10.50 t/s. Aggregate batched throughput at 8 concurrent requests was 471.75 t/s on the PC and 209.02 t/s on Spark.