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DeepSeek-V4.1-Flash-1017 (552B MoE) on 2x RTX 3090 + 128 GB RAM: Rust + CUDA engine and 2-bit quant. 30-37 tok/s decode.

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GITHUB · launched Oct 18, 2026 · 33 upvotes (top 38%) · 0 views

Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Running a 552B parameter MoE model on consumer hardware with 2-bit quantization at 30+ tok/s requires state-of-the-art low-level CUDA kernel authoring, custom memory paging algorithms, and advanced quantization research.

What it would actually take: This demands writing custom CUDA/C++ kernels for extreme low-bit matrix multiplication (e.g., Marlin/AQLM-style kernels) combined with Rust-based asynchronous PCIe and RAM-to-VRAM streaming pipelines to page active MoE experts dynamically. Implementing this requires advanced knowledge of GPU microarchitecture, hardware memory bandwidth optimization, and cutting-edge deep learning quantization techniques.

Competitors

Other products that read as similar to this one : 898 launches clear the similarity bar, closest 8 shown.

Attention rank: #352 of 899 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 345 days after the earliest competitor.

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.