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Strata vs llama.cpp on an RTX 3090: 78 tok/s vs 18 on the Full Flash-Next
The full Qwen3.8-Flash-Next on a 24 GB RTX 3090 with 64 GB of DDR4. Strata decodes at 78 tok/s against llama.cpp's 18, and reads prompts about 3x faster.
Does RAM Speed Matter for Local LLMs? 2133 vs 3000, Measured
DDR4-2133 vs 3000 on an RTX 3090 box: no change for models that fit on the GPU, 13 to 29% faster with MoE experts offloaded. Plus why 3200 wouldn't train.
Strata vs llama.cpp on a 3060: The 7x Is Real. Two Flags Halve It
Qwen3.8-Flash-Next Coder on a 12 GB RTX 3060 and 32 GB of DDR4. Strata prefills 6-7x faster than stock llama.cpp. One batch setting closes most of that.
GTX 1650 vs RTX 3060 on a 35B MoE: What the Card Buys
A $60-class GTX 1650 4 GB runs Qwen3.6-35B-A3B at 20 tok/s on 32 GB of RAM. The RTX 3060 in the same slot does 28 at the same setting and 39 tuned. Measured.
A 177B Model on a 3060: The 32 GB Number Nobody Measured
Qwen3.8-Flash-Next on an RTX 3090 and a 3060. Stock, the 3090 matches the video's 3060. One flag buys 34 to 40 percent. A real 32 GB box: 8.7 tok/s, not 22.
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