SoftwareFramework

tinygrad

tinygrad is a framework maintained by tiny corp1 2. Its source code is public1 under the MIT License2.

tinygrad is a small end-to-end deep learning framework with a tensor library and autograd, an IR and compiler that fuse and lower kernels, a JIT, and modules for neural networks, optimizers, and datasets. Its API is similar to PyTorch's, and it supports both training and inference across several accelerator backends.1 7Fact reviewed Oct 1, 2026

Website: Website (external site: tinygrad.org)
Repository: Repository (external site: github.com)
Documentation: Documentation (external site: docs.tinygrad.org)
License: LICENSE (external site: github.com)
Release notes: Reviewed release (external site: github.com)

Last reviewedOct 1, 2026Entry updated Oct 1, 2026Documented release Unknown

Availability and license

Overall availability

Public

Documented as available to the general public. Access conditions and license terms may still apply.1 2

Availability fact review: Oct 1, 2026

Availability is separate from permission: read the license before using or redistributing.

MIT License (external site: github.com)2
Applies to: Code · SPDX MIT · on the rubric’s OSI-approved software-license list · fact reviewed Oct 1, 2026
Plain-language guide to the MIT License

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Reviewed qualifying license recorded — check scope and conditions
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Public materials checklist

Items for a framework under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for tinygrad
Item	Status	Notes and evidence
Source codeIs the source code publicly readable?	Public	Public repository in the tinygrad GitHub organization.1
DocumentationIs user documentation published?	Public	Official documentation includes a quickstart, tutorials, API reference, runtime documentation, and developer notes.3
InstallationAre installation instructions or packages publicly available?	Public	The recommended installation is from source (git clone, then pip install -e .); installing directly from the GitHub master branch with pip is also documented.1 3
Supported platformsAre supported operating systems or hardware documented?	Public	The runtime documentation lists NV (NVIDIA Ampere, Ada, and Blackwell GPUs), AMD (CDNA3, CDNA4, RDNA3, and RDNA4 GPUs), QCOM (6xx-series GPUs), METAL (M1 or newer Macs), CUDA, OpenCL 2.0, CPU via clang or LLVM, and WebGPU via Dawn.4
Release statusAre versioned releases published?	Public	Reviewed release tinygrad 0.14.0, published August 24, 2026. The documentation says tinygrad is not yet 1.0. This entry describes the project rather than one release.6 3

What it is useful for

Training and running neural networks on NVIDIA, AMD, Apple, Qualcomm, and other hardware with a compact, readable codebase, including example scripts for running LLaMA, Stable Diffusion, and Whisper locally.1 5 4Fact reviewed Oct 1, 2026

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

The showcase documents running LLaMA with examples/llama.py, Stable Diffusion with examples/stable_diffusion.py, and Whisper with examples/whisper.py.5
The default device is selected automatically from the available hardware and can be forced with an environment variable such as DEV=CPU.4

Organization context

tiny corp

In the news

Dated, sourced updates in this catalog's news that mention this entry.

Aug 24, 2026 · Release
tinygrad 0.14.0 released with tool calling in tinygrad.llm and parallel kernel compilation
The tinygrad project published version 0.14.0 on GitHub on August 24, 2026. The release notes list improvements to tinygrad.llm, including RDNA3 kernels for Qwen 3.8 27B, a faster tokenizer and tool calling support. Kernels are now compiled in parallel by default, and Python scalars are now weak dtypes. The notes also say Tensor.training and Tensor.train() were removed in favor of a TRAINING ContextVar, and that GPT-OSS 20B was added as an MLPerf training benchmark. USASI has not tested this release.
- tiny corp
- tinygrad

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S.-governed project

The README says tinygrad is maintained by tiny corp, and the LICENSE names the tiny corp as copyright holder. The company's Form W-9, linked from tinygrad.org, identifies tinygrad, Corp. with an address in San Diego, California (see the tiny corp record).1 2 8

Assessed Oct 1, 2026

Sources

1.
tinygrad/tinygrad README (external site: raw.githubusercontent.com)
tiny corp · Repository · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
2.
tinygrad/tinygrad LICENSE (MIT) (external site: raw.githubusercontent.com)
tiny corp · License · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
3.
tinygrad documentation (external site: docs.tinygrad.org)
tiny corp · Documentation · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
4.
tinygrad runtime documentation (external site: docs.tinygrad.org)
tiny corp · Documentation · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
5.
tinygrad showcase (external site: docs.tinygrad.org)
tiny corp · Documentation · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
6.
Release tinygrad 0.14.0 (external site: github.com)
tiny corp · Release notes · published Aug 24, 2026 · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
7.
tinygrad: A simple and powerful neural network framework (external site: tinygrad.org)
tiny corp · Official page · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026
8.
Form W-9 for tinygrad, Corp. (linked from tinygrad.org) (external site: tinygrad.org)
tiny corp · Other · accessed Oct 1, 2026

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This listing is not an endorsement, a safety assessment, or a federal approval.

Cite this page

APA style

USASI. (2026, October 1). tinygrad. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/tinygrad/

BibTeX

@misc{usasi_tinygrad,
  author = {{USASI}},
  title = {tinygrad},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/tinygrad/}},
  note = {United States of America Superintelligence. Last updated 2026-10-01}
}

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