Tenstorrent

Tenstorrent envisions a future where AI technology is accessible, transparent, and adaptable for all developers and innovators. We are building the next generation of computing hardware to empower artificial intelligence applications that transform industries and unlock new potentials.

Through our pioneering work on advanced chips like the Grayskull and innovative tools such as the TT-Forge compiler, we are creating an open and modifiable ecosystem where developers can fully harness the power of AI hardware. Our mission is fueled by a dedication to openness, flexibility, and performance that challenges the status quo.

By uniting cutting-edge technology with a community-driven approach, Tenstorrent is crafting a future where AI computing is not only powerful but also accessible and customizable, enabling a broad spectrum of applications and driving meaningful technological progress.

We've been keeping tabs on Tenstorrent for a while now, and honestly, they're doing something pretty refreshing in the AI hardware space. While everyone else seems obsessed with building walled gardens, these folks are going all-in on openness and transparency — which is exactly what the industry needs right now.

What Caught Our Attention

The Grayskull chip immediately grabbed our interest. It's specifically built for machine learning inference, and early performance analysis shows it can actually compete with Nvidia's offerings. That's no small feat in today's market.

But what really impressed us is their TT-Forge compiler. It's MLIR-based and currently in public beta, which means developers can actually peek under the hood and modify things. Try doing that with most AI hardware vendors — you'll hit a brick wall of proprietary restrictions.

The Developer-First Approach

Tenstorrent gets something that many hardware companies miss: developers want choice. Their platform lets you pick your entry point into the stack and customize your setup based on actual needs, not vendor preferences.

The Tensix Core architecture feels thoughtfully designed for real-world AI workloads. Plus, their hardware offerings like the Blackhole Card and TT-QuietBox give teams flexible options without forcing them into a one-size-fits-all solution.

Room for Growth

We'll be honest — Tenstorrent is still the underdog here. Nvidia's ecosystem is massive, and switching costs are real. The company also keeps some details close to the vest, including funding specifics and detailed performance benchmarks.

That said, their commitment to open-source tooling and transparent development could be exactly what breaks up the current AI hardware monopoly. Sometimes the scrappy challenger with the right philosophy wins in the long run.