Cards
Add to, or config your own rig. Passive, active and liquid cooling options.
Starting at $999
Introducing
Tenstorrent Galaxy™ superclusters
Multi-server configurations for AI workloads – video, code, LLM – run fast.
Near-linear scaling, preserving quality and interactivity.
Compute for every scale.
Workstations
Whisper-quiet, liquid cooled - run models up to 120b parameters from your desk.
Starting at $9,999
Servers
Sovereign, scale-out servers for production AI.
Starting at $70,000
Flexible IP for Specific Workloads
Accelerate your business with in-use, performant, and flexible IP without the vendor lock-in.
TT in the news
Announcements
Newsroom
PFN and Tenstorrent Selected for NEDO Project on “xPU Design and Development Incorporating Photonics Electronics Integration Technology”
Oct 21, 2026
Announcements
Newsroom
Tenstorrent Announces a $1.5B Series E at a $6.2B valuation
Oct 19, 2026
Announcements
Newsroom
Vayavya Labs and Tenstorrent Partner to Accelerate RISC-V Hardware and Software Development Through Virtual Platform Modeling
Oct 8, 2026
Install TT-Forge (Beta)
Compile models for Tenstorrent hardware
TT-Forge™ is Tenstorrent’s MLIR-based open-source compiler, built on top of our existing AI software stack, and designed to work with PyTorch, JAX, ONNX, and more. TT-Forge™ is now in public beta, and ready for feedback. File a PR or join the conversation on Discord.
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.
Join our developer community
Get the latest info, ask questions, review our open-source repos.
Recent contributions from our bounty program
Build an open future with us. Fix bugs, add features, get paid.
Oct 2
FP32 ttnn.cumsum returns NaN after infinity or overflow
medium
Sep 29
Fix fused scale-mask softmax tile-padding leakage at non-32 widths
easy
Sep 28
Fix u32-to-fp32 double rounding in typecast
medium
Sep 28
Improve div_no_nan accuracy to 1 ULP
medium
Sep 28
Improve BF16 reciprocal rounding on Wormhole
medium
Sep 16
SFPLOADMACRO produces wrong results under coverage instrumentation (Reciprocal fails 46/153 on Blackhole)
medium