AMD Developer · Jul 2026
AMD and Unsloth announced official AMD GPU support for training, fine-tuning, reinforcement learning, and deployment across Windows, WSL, and Linux, including ROCm-backed workflows.
Open-Source Reinforcement Learning (RL) & Fine-tuning for LLMs.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Unsloth AI is a 2023 San Francisco-based open-source AI company focused on making LLM fine-tuning, reinforcement learning, and local inference faster and more memory-efficient. Its public-facing product is the Unsloth library and Unsloth Studio, a local/offline UI for training, running, and deploying models with no-code workflows, tool-calling, and broad model/hardware support.
Primary product
Unsloth Core + Unsloth Studio for local LLM fine-tuning, reinforcement learning, and inference
Founded
2023
Headquarters
San Francisco, California, United States
Team size
11-50
Work style
Flexible
Industry
Technology, Information and Internet
Sub-industry
Open-source AI software for LLM fine-tuning, reinforcement learning, and local model serving
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Offices
Business model
Stage
seed
Total raised
$540K
Latest round
Seed · Sep 2024
Sep 2024 · Pioneer Fund
Sep 2024 · Y Combinator
May 2024
May 2024 · GitHub Accelerator
Investors
Open-source, community-driven, and engineering-heavy. Public communications emphasize rapid iteration, model efficiency, bug fixing, collaboration with the open-source ecosystem, and making AI more accessible.
Work style
Flexible
Compensation
Public hiring signal for a Founding ML Engineer: $200K-$500K base salary plus 0.30%-0.70% equity; the role notes new grads are okay and can start remote before becoming in-person in San Francisco.
Pricing
Freemium/open-core with paid Pro, Max, and Enterprise tiers; enterprise pricing appears quote-based.
Differentiators
Technology
Customers
Competitors
AMD Developer · Jul 2026
AMD and Unsloth announced official AMD GPU support for training, fine-tuning, reinforcement learning, and deployment across Windows, WSL, and Linux, including ROCm-backed workflows.
Unsloth blog · May 2026
Unsloth said it joined the PyTorch Ecosystem Landscape while remaining an independent open-source project; the post describes the product, its kernels, and broader model support.
Unsloth AI Substack · Feb 2026
The update introduced 12x faster MoE training, embedding model support, and longer-context reinforcement learning improvements, alongside a forthcoming UI push.
Unsloth blog · Sep 2024
Unsloth announced YC backing, a studio/waitlist update, and a milestone of roughly 2 million monthly downloads at the time.
VentureBeat · May 2024
VentureBeat covered GitHub Accelerator’s cohort and highlighted Unsloth as a participant focused on faster, lower-memory model fine-tuning.