Coming Soon
Blazing Fast
Optimized inference pipelines with minimal overhead. Pyxis delivers sub-millisecond latency for production workloads.
Easy Integration
Simple API that works with your existing ML workflow. Load models from PyTorch, TensorFlow, or ONNX with just a few lines of code.
Production Ready
Built-in metrics, health checks, and observability. Deploy with confidence using battle-tested infrastructure patterns.
Multi-Framework
Native support for PyTorch, TensorFlow, and ONNX models. Switch between frameworks without changing your inference code.
GPU Acceleration
Seamless GPU acceleration with automatic memory management. Scale from CPU to multi-GPU with a single configuration change.
Batch Processing
Intelligent batching and request queuing for maximum throughput. Process millions of predictions efficiently.
Frequently Asked Questions
Pyxis is built 100% in Python and Triton, removing the need for massive C++ binaries and CUDA bloat while maintaining sub-millisecond latency. It's truly hackable inference.
We are currently in private alpha. By joining the waitlist, you'll be among the first to get access when we open up the beta very soon.
At launch, Pyxis will support popular models like Llama 3, Mistral, and Qwen natively natively, with an easy API to add your own custom architectures.