QuarterBit AXIOM

The world of artificial intelligence is growing fast, but it uses a lot of energy. Training AI models, especially large language models (LLMs), requires powerful computers and lots of electricity. This has led to high costs and long waits for the necessary computer parts. QuarterBit AXIOM is a new tool designed to make training these AI models much more efficient.

Benefits

AXIOM helps reduce the amount of computer memory needed to train AI models. This means you can use fewer expensive graphics cards (GPUs) to train the same model. For example, training a large 70 billion parameter model usually needs 11 high-end GPUs, but with AXIOM, it can be done with just 2. This is because AXIOM is very good at saving memory, compressing information by 33 times. It also allows every part of the AI model to be updated, leading to better learning and performance, as shown by improvements in model accuracy.

Use Cases

With AXIOM, you can train bigger AI models using the computer hardware you already have. For instance, a regular gaming computer with an RTX 4090 graphics card can train about 10 billion parameter models using AXIOM, which is much more than what's possible with standard methods. Even less powerful GPUs can train significantly larger models. AXIOM is easy to add to your existing AI projects with just a few lines of code. It works with many popular AI models like Llama, Mistral, and others. It can be used on any cloud service, with any type of GPU, and with various AI development tools.

Pricing

AXIOM is currently free to use as part of its beta program. There are plans for paid versions in the future, called Pro and Enterprise.

Vibes

By using fewer GPUs, AXIOM helps lower energy use and hardware costs, making it easier for researchers, new companies, and large businesses to train advanced AI models.