qwen38-flash-next-w4a16-cmp170hx
Qwen3.8-Flash-Next (W4A16) on 2x CMP 170HX: 110 tok/s decode, 7K prefill, 800 tok/s @ 23 concurrent - runs on 38 GB home RAM, no pinned memory
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GITHUB · launched Sep 16, 2026 · 10 upvotes (top 74%) · 3 views
Niche: llm inference and deployment tools · 188 launches, 6 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 188 launches in llm inference and deployment tools →
Could you build this?
No High-throughput LLM inference execution optimized for specific obscure mining GPUs (CMP 170HX) using 4-bit quantization and CPU-GPU pipelining requires deep CUDA/kernel expertise.
What it would actually take: Requires custom CUDA/Triton kernels adapted specifically to the Ampere GA100 architecture of CMP 170HX cards lacking standard display outputs, along with high-performance W4A16 GEMM implementations (like Marlin, AWQ, or ExLlamaV2). Developers must manually manage PCIe bandwidth, CPU-to-GPU offloading without pinned memory, and multi-stream batch scheduling.
Competitors
Other products that read as similar to this one : 228 launches clear the similarity bar, closest 8 shown.
Attention rank: #171 of 229 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 297 days after the earliest competitor.
- lean-qwenflash · github · 2026-10-24 · 48 upvotes · similarity 0.76
- Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s · hn · 2026-09-01 · 240 upvotes · similarity 0.75
- qwen38-flash-next-b70-offload · github · 2026-10-06 · 21 upvotes · similarity 0.72
- collabosm · github · 2026-09-25 · 90 upvotes · similarity 0.71
- glyd-condor · github · 2026-10-14 · 29 upvotes · similarity 0.67
- qwen3.8-flash-next-local-deploy · github · 2026-10-14 · 34 upvotes · similarity 0.66
- qwen38-flashnext-exl3 · github · 2026-09-17 · 18 upvotes · similarity 0.62
- qwen38-exl3-dflash2 · github · 2026-09-15 · 18 upvotes · similarity 0.61
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.