Unverified50% confidenceCautionExact time
Even if a small portion of the model overflows into system memory, speed drops dramatically; experiments show the same small model runs at 151 tokens/s in RTX 5090 VRAM but only 8 tokens/s when placed in system memory.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRunning the model on Windows is approximately 20% slower than on Linux, with approximately 16 tokens/s for short contexts and approximately 10 tokens/s for long contexts.74% similarUnverifiedQuantprobe claims to enable a machine with only 6GB of VRAM and 16GB of RAM to run 30B-class models at 22 tokens/s.70% similarUnverifiedWhen a model file exceeds the GPU's VRAM, the overflow portion falls back to system memory for processing, causing a significant drop in speed.70% similarUnverifiedLocal model inference is slow (approximately 1–5 tokens/second) while the cloud can reach 50+ tokens/second; local models have a lower capability ceiling but incur no API costs or privacy concerns.69% similar
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