Qwen3.8-Flash-Next 177B NVFP4(119GiB): SSD streaming at 9-10 tok/s on one 16 GB RTX 5060 Ti + 32 GB RAM
An inference engine called InferredThoughts has been developed for MoE models that exceed VRAM and RAM capacity. This engine allows models like Qwen3.8-Flash-Next 177B NVFP4(119GiB) to run on a single 16 GB RTX 5060 Ti with 32 GB RAM, achieving 9-10 tok/s via SSD streaming. Most of the model resides on the SSD, with experts loaded on demand. This setup utilizes 20 GiB in memory and 99 GiB on SSD, including 48.5 GiB for routed experts and a 50.7 GiB n-gram table.
This report details a novel inference engine that allows large MoE models to run on consumer-grade GPUs by streaming most of the model from SSD, unlike traditional methods requiring full in-memory loading.
Time & source
Times shown in UTC
Display time zone: UTC
Local time zone unavailable; showing UTC.
IngestedOffset at this time: UTC+0Sep 28, 2026, 00:00 UTC
- Ingested
- Sep 28, 2026, 00:00
- Source type
- Dev community
Discussion trend
The percentage is based on collected discussion signal, not new comments or independent people. The curve only compares the same topic across time.
Full text isn't available here.
Read at source →