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tenstorrent/tt-metal

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

C++ ◇ accelerator Apache-2.0
★1.7KSTARS
⑂708FORKS
!5,741ISSUES
🏆#2,062GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for tenstorrent/tt-metal
CSV

Momentum

+42

STARS · LAST 30 DAYS

1

PER DAY

#145

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+42+90
Per day111
Forks gained+4+14+35

tt-metal gained 42 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 4 years old and has averaged roughly 422 stars a year. It ranks #145 among C++ repositories and #2,062 across all languages on GitHubRepo.

Trending Record

tt-metal has maintained a continuous presence across global trending indexes, peaking at #1408. Below is the 30-day activity profile:

💡 Overview

tt-metal is an open-source project written in C++: :metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

Engineered for speed, consistency, and developer ease, it solves common hurdles in accelerator, ai, cuda. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/tenstorrent/tt-metal.git
cd tt-metal

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

tt-metal coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with tt-metal.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install tt-metal using your package manager: `git clone https://github.com/tenstorrent/tt-metal.git`

2

Initialize your project workspace or configuration file for tt-metal.

3

Import tt-metal into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `tt-metal --help` to verify successful setup.

👍 Strengths

Active community backing with 1,687 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tenstorrent/tt-metal is currently ranked #2,062 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,057 cldwalker/hirb Ruby ★ 1.7K Compare ↗
#2,057 kushalpandya/Petrichor Swift ★ 1.7K Compare ↗
#2,059 fossasia/eventyay Python ★ 1.7K Compare ↗
#2,059 migueldeicaza/SwiftGodot Swift ★ 1.7K Compare ↗
#2,061 px0-ai/px0 Go ★ 1.7K Compare ↗
#2,062 tenstorrent/tt-metal This Project C++ ★ 1.7K
#2,063 iptv-org/database JavaScript ★ 1.7K Compare ↗
#2,064 cbrock84/headcount Markdown ★ 1.7K Compare ↗
#2,065 nyakang/nyaterm TypeScript ★ 1.7K Compare ↗
#2,066 TA-Lib/ta-lib Java ★ 1.7K Compare ↗
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Frequently Asked Questions

What does tt-metal do? +

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

What language is tt-metal written in? +

The primary language is C++. Topics include: accelerator, ai, cuda, deepseek, gpu.

Is tt-metal actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 5,741 open issues being tracked.

How many stars does tt-metal have? +

tt-metal has 1,688 stars and 708 forks on GitHub.

How does tt-metal rank among GitHub repositories? +

With 1,688 stars, tenstorrent/tt-metal is ranked #2,062 globally across all repositories tracked on GitHubRepo and #145 among C++ projects.

What license is tt-metal distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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