# Unsloth AI

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/unsloth-ai

- Industry: Software
- Headquarters: San Francisco, US
- Website: www.unsloth.ai/
- Latest round: Seed (Sep 30, 2024)
- Investors on record: 1

## About

Based in California, US, and founded in 2023 by Daniel Han (CEO) and Michael Han (CTO), Unsloth AI Inc. operates as a software company that provides open-source fine-tuning and training of LLMs. In September 2024, Unsloth AI Inc. raised seed funding from Pioneer Fund.

The company engages in accelerating AI training, offering up to 30x faster performance with reduced memory usage, multi-GPU support, and scalable solutions, making LLM fine-tuning accessible for researchers, developers, and enterprises. The firm uses patented techniques such as manually developing computation-heavy mathematical steps using handwriting GPU kernels to provide training speeds 30 times faster than Flash Attention 2 (FA2) while using 90% less memory.

Unsloth supports a wide range of hardware, including NVIDIA, AMD, and Intel GPUs, enabling users to achieve up to 32x faster training on multi-GPU systems. In addition, the company optimizes memory usage, allowing scalable deployment across diverse computing environments. The firm has also developed HyperLearn, a tool for streamlining machine learning workflows.

The organization generates revenue by offering three tiers of service: Free, Pro, and Enterprise. The free plan supports basic single-GPU operations and open-source LLMs such as LLama models. The Pro plan enhances performance with multi-GPU support, 2.5x faster training, and 20% reduced VRAM usage. Enterprise customers benefit from advanced features, including 30x faster training, multi-node support, and up to 30% improved accuracy for AI applications.

## Funding rounds

- Seed, Sep 30, 2024 — Pioneer Fund

## Investors

- Pioneer Fund (https://capitalatlas.ai/funds/pioneer-fund) — Seed