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hashyy

A full, unpruned 177B MoE model at 11.5 tok/s on one 12 GB GPU. Expert streaming for llama.cpp, with the measurement harness and every dead end.

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This is 1 of 189 launches in GPU acceleration and compute tools — see how it stacks up on momentum and crowding →

182 other launches read as similar to this one →

Details

External ID
1402547731
Source
GITHUB
Company
—
Product
hashyy
Website domain
github.com
Launched
Oct. 3, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.42
Tags
—

Enrichment

Niche
GPU acceleration and compute tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
expert streaming engine to run large moe models on low-vram gpus
Manually corrected
False

Could you build this?

No Implementing expert streaming for a massive 177B Mixture-of-Experts LLM to run at double-digit token rates on consumer GPU memory requires advanced low-level GPU kernel programming and systems engineering.

What it would actually take: Requires deep C++/CUDA/Metal engineering integrated into llama.cpp or custom inference runtimes, designing zero-copy PCIe DMA memory streaming pipelines, NVMe caching, and custom quantized matrix multiplication kernels. Developers need deep expertise in GPU memory hierarchies, asynchronous compute pipelines, and hardware-specific IO bandwidth bottlenecks.

Competitors

Other products that read as similar to this one — 182 launches clear the similarity bar, closest 8 shown.

Attention rank: #110 of 183 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 330 days after the earliest competitor.

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