About ZSE
Making LLM inference fast, efficient, and accessible to everyone.
Who We Are
zLLM-ZSE is developed by Zyora Labs, an AI research and development firm based in Tamil Nadu, India. We're dedicated to pushing the boundaries of efficient AI inference and making advanced language models accessible to developers worldwide.
Our Mission
We started ZSE because we were frustrated with slow model loading times. Every time we wanted to test a model or spin up a serverless endpoint, we'd wait 30-60 seconds for the model to load. That's unacceptable.
ZSE introduces pre-quantized model formats that load instantly. No runtime quantization. No wasted compute. Just fast inference.
Our goal is to make LLM inference as fast and efficient as possible, enabling developers to build better AI applications without breaking the bank.
Our Values
Speed
Every millisecond counts. We obsess over cold start times and inference latency.
Simplicity
Complex problems deserve simple solutions. Our API is clean and intuitive.
Open Source
We believe in building in public. ZSE is Apache 2.0 licensed and community-driven.
Innovation
Pushing the boundaries of what's possible with efficient LLM inference.
Timeline
January 2026
ZSE research project begins
February 2026
First working prototype with 3.9s cold starts
February 2026
Public release on PyPI
Technology
Core Stack
- • Python 3.8+
- • PyTorch 2.0+
- • CUDA/ROCm acceleration
- • Hugging Face Transformers
Key Techniques
- • INT4/NF4 quantization
- • Memory-mapped tensors
- • KV cache compression
- • Layer streaming