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glyd-condor

Glyd Condor: Qwen3.8-Flash-Next (180B) on one 16 GB NVIDIA GPU with Glyd's engine

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GITHUB · launched Oct 14, 2026 · 29 upvotes (top 43%)

Similar launches

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Could you build this?

No Running a 180B parameter LLM on a consumer 16 GB GPU requires novel high-performance inference engine research, extreme quantization (sub-1-bit or radical MoE offloading), and custom CUDA/C++ kernels.

What it would actually take: Requires developing custom CUDA/Triton kernels for ultra-low-bit quantization, aggressive dynamic activation offloading via PCIe, and specialized disk-to-VRAM streaming pipelines. This demands state-of-the-art systems and ML systems engineering expertise to overcome memory bandwidth and VRAM constraints.

Competitors

Other products that read as similar to this one : 409 launches clear the similarity bar, closest 8 shown.

Attention rank: #186 of 410 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 341 days after the earliest competitor.

Other launches for this product

More details
External ID
1418902693
Company
n/a
Product
glyd-condor
Website domain
github.com
Cohort
n/a
Upvotes percentile
0.57
All tags
n/a
AI summary
inference engine for running large models on a single consumer gpu
Manually corrected
No