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tech 20 August 2026

MicroGPT in Pure C Hits 10M TPS on Apple M5

Discover how MicroGPT, a minimalist GPT model written in dependency-free C, achieves 10 million transactions per second on the latest Apple M5.

Article inspired by the original source
Microgpt in pure C hits 10M tps on Apple m5 ↗ github.com

Introduction

In the ever-evolving landscape of artificial intelligence, efficiency and performance are crucial, especially when dealing with large language models. The MicroGPT project, developed by Vixhal Baraiya, stands out by achieving an impressive 10 million transactions per second (TPS) on the latest Apple M5 processor, all while being implemented in pure C with no external dependencies.

Why MicroGPT?

MicroGPT offers a radically simple and efficient approach to training and inference of Generative Pre-trained Transformer (GPT) models. Unlike other complex implementations requiring heavy dependencies, MicroGPT relies solely on the standard C library, making it particularly light and portable.

Advantages of Pure C

The choice of dependency-free C offers several advantages:

  • Portability: Runs on macOS, Linux, and potentially any platform supporting C.
  • Performance: Thanks to low-level optimizations, C allows for maximum performance.
  • Simplicity: A single code file, easy to understand and modify.

Performance on Apple M5

Apple's latest M5 processor is renowned for its computational power and energy efficiency. MicroGPT leverages these capabilities to achieve 10 million transactions per second, a feat that testifies to the algorithm's efficiency and code optimization.

Comparison with Other Solutions

In comparison, frameworks such as TensorFlow or PyTorch, although powerful, require significantly more resources to achieve similar performance. MicroGPT stands out by offering high-level performance with minimal footprint.

Use Cases and Applications

Thanks to its lightness and speed, MicroGPT can be used in various contexts:

  • Name Generation: Trained on a corpus of 32k names, it quickly generates new ones.
  • Rapid Prototyping: Ideal for testing natural language processing concepts without heavy infrastructure.
  • Edge Computing: Its low footprint allows it to run on devices with limited resources.

How to Use It?

Using MicroGPT is straightforward:

  1. Clone the GitHub repository: git clone https://github.com/vixhal-baraiya/microgpt-c
  2. Compile the code: make
  3. Run with a data file: ./microgpt data/names.txt

Conclusion

MicroGPT demonstrates that exceptional performance in AI can be achieved with a minimalist approach. Its implementation in pure C, without dependencies, makes it unique and particularly suited for resource-constrained environments.

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MicroGPT C programming AI performance Apple M5 GPT model
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