HN · GitHub Signals

OPEN SOURCE, IN FOCUS

pulsar

giannisanni/pulsar

SSD-streaming inference engine for giant MoE models (Rust + CUDA). GLM 5.2 743B at 2 tok/s and Hy3 295B at 7 tok/s on two consumer 16GB GPUs. Zero-config multi-GPU: measures PCIe bandwidth, places attention and hot experts where they fit.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

avifenesh

bw24

From-scratch Rust+CUDA LLM inference engine for RTX 5090 (sm_120a) — NVFP4, MoE, MTP speculative decoding, tuned against measured hardware limits

Take a look →
ferrumox

rabbit

Run Kimi K3 (2.8T MoE) on a 128GB-RAM consumer machine in pure Rust, experts streamed from disk. Tiny engine, immense model.

Take a look →
dicklesworthstone

franken_ocr

Pure-Rust, CPU-only OCR engine for Baidu Unlimited-OCR (a DeepSeek-OCR-derived 3B MoE VLM). One fixed model, custom int4/int8 kernels, no ML framework, no GPU. Pre-Phase-0 scaffold.

Take a look →
eriktromp

colibri-hy3

Run Hy3 on a 10GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦

Take a look →