From aec4dee2d67c1d03ff89710b9e7c91ac0b26cab6 Mon Sep 17 00:00:00 2001 From: ParallelIQ Date: Tue, 9 Jun 2026 18:09:54 -0700 Subject: [PATCH] Update llm-tools.md with new LLM tools Add new tools for LLMs including Paralleliq and piqc. --- llm-tools.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/llm-tools.md b/llm-tools.md index d7d8583..4223012 100644 --- a/llm-tools.md +++ b/llm-tools.md @@ -973,6 +973,8 @@ - [aisuite](https://github.com/andrewyng/aisuite) thin wrapper around python client libraries to seamlessly swap out different LLM providers without changing their code - [SCUDA](https://github.KeVmo314/Scuda) enables GPU-over-IP connectivity, allowing remote GPUs to be utilized by CPU-only machines for accelerated computing tasks such as model training and inference. - [BitNet](https://github.com/microsoft/BitNet) bitnet.cpp is the official inference framework based on llama.cpp to run 1-Bit LLMs for fast and lossless inference of 1.58-bit models on CPU, NPU and GPU +- [Paralleliq](https://paralleliq.ai) model-aware GPU fleet optimization layer for AI inference clusters. Detects tier misplacement, idle capacity, KV cache pressure, and throughput suppression with human-approval workflows and audit trails. +- [piqc](https://github.com/paralleliq/piqc) open-source, read-only GPU waste scanner for Kubernetes inference clusters. Deploys in minutes, no write permissions required. ### Optimization