m0dulo/InferSpore
🌱 A fully independent Large Language Model (LLM) inference engine, built leveraging cuBLAS and cub. 🧩
InferSpore is a tool for developers who want to run large language models on their own infrastructure without relying on external services or complex frameworks. It takes a trained LLM and efficiently performs inference, producing the model's outputs. This is ideal for developers building applications that integrate LLMs and need fine-grained control over the deployment environment.
No commits in the last 6 months.
Use this if you are a developer looking for a standalone, high-performance engine to run large language models directly on NVIDIA GPUs.
Not ideal if you are an end-user looking for a pre-built application or a simple API to interact with large language models.
Stars
32
Forks
4
Language
Cuda
License
MIT
Category
Last pushed
Jun 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/m0dulo/InferSpore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
alibaba/MNN
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering...
xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source,...
tensorzero/tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM...