@ivanalog_com: With Strata's boost, the hardware configuration value table for locally running Qwen Flash Next on a single machine is …
Summary
The post reports that Strata's boost technology has completely reshaped the hardware landscape for locally running Qwen Flash Next on a single machine: NVIDIA cards with large memory (RTX 3090/4090/5090, even mid-range options like 5060/3060 X2) now clearly outperform formerly competitive Apple Mac M5-series configurations, with demand surging for the 3090, 4090, and 5090.
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Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s
Strata 是一个免费开源的推理引擎，可在 RTX 4090 等消费级显卡（12GB+ 显存）本地运行 Qwen3.8-Flash-Next（125B）模型，写入速度约 100 tokens/s，且支持 Windows/Linux 和 NVIDIA/AMD 显卡。
@Oluwaphilemon1: Qwen3.8-Flash-Next running at 15 tok/s on a 12GB RTX 5070 apparently wasn’t acceptable. So instead of buying a bigger G…
A user built an open-source inference engine called Strata to optimize running Qwen3.8-Flash-Next on modest hardware, achieving up to 65.1 tok/s from an initial 15 tok/s.
Strata with Qwen3.8 Flash Next UD-Q4_K_XL
A user reports strong single-request decode speeds running Qwen3.8-Flash-Next in Unsloth's UD-Q4_K_XL quant on Strata with an RTX PRO 6000, showing roughly 2x faster throughput than vLLM on the same GPU across prose, counting, coding, and reasoning tasks.
@aehyok: Holy crap, folks, this open-source project Strata is insanely awesome, seriously insanely awesome. An RTX 5070 with 12G…
A social media post hype-recommends the open-source Strata project for running the Qwen3.8-Flash-Next MoE model (125B total params, ~6B active) on consumer hardware, claiming 94 tok/s quantized on an RTX 5070 12GB with a Ryzen 5 7600 and 64GB RAM.
@coldniko: Run Qwen3.8-Flash-next on 8GB+ AMD GPU RX 7900 XTX runs the model at a sustained 52-60 output tokens per second + 1250 …
Strata is an open-source tool that runs Qwen3.8-Flash-Next, a 125B-parameter model, on consumer gaming PCs with quantization, delivering 52-60 tokens/s on an AMD RX 7900 XTX and 60-95 tokens/s on an RTX 5070, with KV cache optimizations like k8v4 for an extra 10% speedup.