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Qwen3.8-Flash-Next Gyro S achieves 18 t/s decode on Valve Steam Machine

A user on Reddit shared performance benchmarks for the Qwen3.8-Flash-Next Gyro S model running on a Valve Steam Machine with an 8 GB AMD GPU and 32 GB of RAM. The setup achieved approximately 18 tokens per second for decoding and 235 tokens per second for prefill, utilizing the stock SteamOS. Key to the performance was the `--set resident-budget-gib=64` parameter, which improved decode speed by about 20% by keeping model experts in RAM rather than the OS page cache. Other tested configurations, such as PCIe fraction adjustments and larger VRAM reserves, showed no measurable impact on performance. AI

IMPACT Demonstrates performance of a specific LLM on consumer-grade hardware, offering insights for local deployment.

RANK_REASON User-generated benchmark of a specific model on consumer hardware.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.8-Flash-Next Gyro S achieves 18 t/s decode on Valve Steam Machine

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6 / 100
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Newsworthiness bucket
Tool
User-generated benchmark of a specific model on consumer hardware.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Accurate-Door3692 ·

    Qwen3.8-Flash-Next Gyro S on a Valve Steam Machine (8 GB AMD GPU, 32 GB RAM): about 18 t/s decode, about 235 t/s prefill, stock SteamOS

    <!-- SC_OFF --><div class="md"><p>I followed up on the <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xft2ae/have_8_gb_of_vram_and_32_gb_of_ram_you_can_run/">post</a> about running Qwen 3.8 Flash Next with 8 GB VRAM and 32 GB RAM. I wanted to see how it does on my Steam M…