Tenstorrent is an AI Accelerators company founded in 2016 and based in Toronto, Canada. It has raised $913.7M in total funding, most recently a Series D in 2024 at a $2.6B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Dec 2, 2024 | Series D | $693M | $2.6B | Samsung Securities, AFW Partners |
| May 1, 2021 | Series C | $200M | $1B |
| Fidelity Management & Research Company |
| Feb 1, 2019 | Series B | $20.7M | — | — |

GlobalFoundries and Tenstorrent discuss RISC-V ecosystem growth for physical AI applications in a panel discussion.

CEO Jim Keller discusses Tenstorrent's BlackHole architecture, compute scaling challenges, and IPO aspirations in a year-long follow-up interview.

Qualcomm is in talks to acquire AI chipmaker Tenstorrent for an estimated $8B–$10B.
Tenstorrent's second-generation AI processor, built from a grid of Tensix cores that combine compute, SRAM, and packet-based networking so chips scale out natively over Ethernet without external switches. Sold on PCIe cards (n150/n300) and in air-cooled developer workstations and servers, Wormhole targets AI training and inference and is fully programmable through Tenstorrent's open-source software stack.
Tenstorrent's latest-generation standalone AI accelerator, pairing upgraded Tensix Neo cores with onboard 'big' RISC-V CPU cores so each card can run workloads independently. With high-bandwidth Ethernet scale-out and GDDR6 memory, Blackhole (in p100/p150 cards and the Galaxy server, generally available April 2026) targets cost-efficient AI compute as an open alternative to Nvidia GPUs.
Tenstorrent's licensable RISC-V processor IP, including the high-performance out-of-order Ascalon core, which it sells to chipmakers and governments building custom silicon. This IP business, led by veteran architect Jim Keller, underpins design wins and partnerships (including with Japan's national AI/edge efforts and automakers) and embodies Tenstorrent's 'open' strategy of pairing RISC-V CPUs with its AI accelerators.
23 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.