llamaperf

AMD RX 9070 XT 16GB vs NVIDIA V100 16GB for local LLMs

9 reports on the AMD RX 9070 XT 16GB and 10 on the NVIDIA V100 16GB

Which is faster for local LLMs?

On Qwen3.5 9B at 6-bit, the AMD RX 9070 XT 16GB runs at 62.0 tokens per second (one run) and the NVIDIA V100 16GB at 4.6 (one run). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 41% higher on the NVIDIA V100 16GB (640 GB/s on the AMD RX 9070 XT 16GB, 900 on the NVIDIA V100 16GB).

AMD RX 9070 XT 16GB
Memory
16GB
Memory bandwidth
640 GB/s
FP16 compute
195 TFLOPS
Reports
9
NVIDIA V100 16GB
Memory
16GB
Memory bandwidth
900 GB/s
FP16 compute
125 TFLOPS
Reports
10

Measured on both

Median tokens per second from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same quant level. Engines and context lengths can still differ between the runs. How to read these

ModelAMD RX 9070 XT 16GBNVIDIA V100 16GB
Qwen3.5 9B6-bit62.0one run4.6one run

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.

ModelAMD RX 9070 XT 16GBNVIDIA V100 16GB
Qwen3.5 9B39.1 t/sQ8_055.0 t/sQ8_0
Qwen3.8 27B41.7 t/sQ2_K58.7 t/sQ2_K
Qwen3.8 125B · 6B activedoesn't fit at these settingsdoesn't fit at these settings
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 35B · 3B active138.0 t/sQ2_K194.1 t/sQ2_K
Qwen3.6 27B41.7 t/sQ2_K58.7 t/sQ2_K
Gemma 4 26B · 4B active93.0 t/sQ3_K_S130.8 t/sQ3_K_S

Change the context, RAM or model in the calculator: AMD RX 9070 XT 16GB · NVIDIA V100 16GB

Every report on each card, with its source: AMD RX 9070 XT 16GB · NVIDIA V100 16GB

More comparisons