The Open-Source AI Stack
RSS

The Stack · Silicon · Open source

Tenstorrent (Wormhole, Blackhole)

Open-trending AI accelerators on RISC-V; Jim Keller-led; tt-metal and tt-forge open.

Apache 2.0 · beta · Project site → · GitHub →

Tenstorrent designs AI accelerators that combine RISC-V CPU cores with their Tensix tensor compute units. The current product line is Wormhole (shipping) and Blackhole (recently launched). Led by CEO Jim Keller, a well-known chip architect whose prior work included AMD's Zen and Apple's A4 / A5. Tenstorrent is the rare datapoint in 2026 trying to make both the ISA and the accelerator open at the AI-accelerator level. The tt-metal low-level kernel framework and tt-forge model compiler are open-sourced under Apache 2.0. Compare to NVIDIA's H100 line, where the ISA, the accelerator, and the entire CUDA software stack are proprietary; or AMD's MI300X, where the hardware is proprietary but ROCm is mostly open. Tenstorrent sits further along the open spectrum than either. Production-readiness: shipping for real workloads, but the software ecosystem is years behind CUDA. Customers willing to do their own kernel work (national labs, sovereign-compute programs, research groups) can use it; mainstream production AI inference is still on NVIDIA. The strategic question for Tenstorrent is whether the open-ISA + open-accelerator argument attracts enough early customers and contributors to close the software gap before NVIDIA's lock-in compounds further.

Sources

Want a follow-up? Ask the chat about Tenstorrent (Wormhole, Blackhole) in context. It will compare to siblings at the same layer and ground every claim in the wiki.

Other projects at the Silicon layer

6 siblings · ordered open first