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glm53-tensorfold-spark

GLM-5.3-Flash (abliterated EXL3) on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8x faster decode than vLLM, 4x256k concurrent threads, byte-exact speculative decoding. Work in progress.

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GITHUB · launched Sep 28, 2026 · 99 upvotes (top 8%) · 2 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 Building custom GPU inference engines with custom quantization formats (EXL3), speculative decoding kernels, and low-level multi-DGX concurrency requires deep systems and CUDA/C++ engineering.

What it would actually take: Requires expert CUDA/Triton systems engineering, deep understanding of transformer memory layout, flash attention, and paged KV cache architectures. The stack involves low-level C++, custom CUDA kernels, MPI/NCCL for distributed DGX communication, and algorithmic mastery of speculative decoding verification engines.

Competitors

Other products that read as similar to this one : 328 launches clear the similarity bar, closest 8 shown.

Attention rank: #38 of 329 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 334 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.