Mirage

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Mirage is a coding & development tool that compiles LLMs into high-performance megakernels. It reduces LLM inference latency by automatically fusing GPU operations.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is mirage?

Mirage Persistent Kernel (MPK) is a compiler and runtime system designed to optimize large language model (LLM) inference by transforming it into a single, high-performance megakernel. This end-to-end GPU fusion approach significantly reduces LLM inference latency, offering improvements of 1.2× to 6.7× with minimal developer effort. MPK allows users to compile LLMs from the Hugging Face model zoo into a megakernel using Python, abstracting away complex CUDA/Triton programming. It provides an API for instantiating persistent kernels, attaching existing PyTorch tensors, and defining computation graphs by chaining fused operations. The tool is open source and aims to simplify the deployment of efficient LLM inference.

Best used for

Ideal for developers who need to significantly reduce latency in LLM inference, simplify complex GPU kernel development, and optimize multi-GPU deployments. Especially valuable for those looking to achieve high-performance LLM execution without extensive CUDA or Triton programming.

Common actions

optimize LLM inference

compile GPU kernels

reduce latency

automate GPU programming

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Capabilities

Key features

LLM-to-megakernel compilation
GPU kernel fusion
Python API
PyTorch tensor integration
Performance profiling
Multi-GPU optimization

Target Audience

developer

Integrations

pytorchhugging-face

Pricing & Plans

Open Source

Free

FAQs

What is a megakernel in the context of Mirage?

A megakernel, as implemented by Mirage Persistent Kernel (MPK), is a fused GPU kernel that performs all necessary computation and communication for LLM inference within a single kernel launch. This end-to-end fusion reduces latency by minimizing overheads associated with multiple kernel launches.

What kind of performance improvements can I expect with Mirage?

Mirage Persistent Kernel (MPK) has been shown to reduce LLM inference latency by 1.2× to 6.7×. These improvements are achieved through its automatic compilation and fusion of LLM operations into a single, optimized GPU megakernel.

Does Mirage require me to write CUDA or Triton code?

No, Mirage is designed to abstract away the complexities of CUDA and Triton programming. It allows developers to compile LLMs into megakernels using a Python API, defining computation graphs and operations without needing low-level GPU code.

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