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Blackhole

AI compute for every scale.

AI that works smarter, not harder. Efficient performance with native scale-out from single cards to full clusters, all built on open-source software.

体验Blackhole芯片、工作站或服务器。

Buy Blackhole

计算每个尺度。

Cards
Cards

Add to or config your own rig. Passive, active, and liquid cooling options.

Starting at $999
Workstations
Workstations

Whisper-quiet, liquid cooled – run models up to 80b parameters from your desk.

Starting at $11,999
Servers
Servers

Sovereign, scale-out servers for production AI.

Flexible IP for Your Workloads.

Accelerate your business with in-use, performant, and flexible IP without the vendor lock-in.

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Tenstorrent 新闻

Tenstorrent and Infinia Technologies Partner to Build Sovereign AI Infrastructure
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Tenstorrent and Infinia Technologies Partner to Build Sovereign AI Infrastructure
Tenstorrent Announces Participation in CHASSIS Program
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Tenstorrent Announces Participation in CHASSIS Program
Tenstorrent Unveils First Gen Compact AI Accelerator Device
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Tenstorrent Unveils First Gen Compact AI Accelerator Device
Tenstorrent and PwC Partner to Advance AI Ecosystem Development in Cyprus
Announcements
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Tenstorrent and PwC Partner to Advance AI Ecosystem Development in Cyprus
安装 TT-Forge (测试版)

为 Tenstorrent 硬件编译模型

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Screenshot of TT-Forge Github

TT-Forge™ 是 Tenstorrent 基于 MLIR 的开源编译器，它建立在我们现有的 AI 软件堆栈之上，旨在与 PyTorch、JAX、ONNX 等协同工作。TT-Forge™ 现已公测，欢迎反馈。请提交 PR 或加入 Discord 上的讨论。

Read the Docs
Explore TT-Forge
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Build an Open Future with us.

AI is changing the laws that once governed computing. Our IP is transparent, our architectures are open, and our software is open source so you can edit, select, fork, and own your silicon future.

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Join our developer community

Get the latest info and ask questions in Discord

Join Discord

Review our repos in GitHub (it's all open source)

GitHub

Recent contributions from our bounty program

Build an open future with us. Fix bugs, add features, get paid.

View Bounties
Feb 13
Optimise and improve precision of sin/cos/tan
hard
Jan 22
revamp binary and unary min/max
hard
Jan 20
optimise int32→uint16 and uint32→uint16 typecast ops
hard
Jan 20
optimise binary division LLKs
medium
Jan 20
optimise uint16 multiplication LLKs for BH/WH
hard
Dec 3
minimum/maximum(-2**31, ...) fails for int32
hard