Tenstorrent, an artificial intelligence computing company, announced on October 19, 2026, that it has closed a $1.5 billion Series E funding round, achieving a post-money valuation of $6.2 billion. The round was co-led by Trace Capital and Innovation X, with participation from a wide array of new and existing investors. This funding infusion is intended to accelerate the company's efforts in scaling its Galaxy AI servers and advancing its AI and CPU intellectual property.
The significant capital commitment positions Tenstorrent to expand its offerings in the AI computing market, which is experiencing rapid development as companies seek alternatives for deploying sophisticated machine learning models. The company's strategy involves providing AI compute solutions at various scales, from individual cards and workstations to racks, superclusters, and custom IP. Tenstorrent emphasizes an open-source software stack, enabling developers to run advanced models locally and enterprises to deploy them on-premises with low latency and high throughput.
Jim Keller, CEO of Tenstorrent, stated that the company's architecture is designed for scalability across different sizes, reflecting a vision for compute that is "open, scalable, and owned by the people building on it." The funding will support the volume manufacturing of its Galaxy servers, which began shipping earlier in the year. These servers are built with the company's RISC-V Blackhole processors and Tensix AI cores, offering substantial compute performance.
Earlier in 2026, Tenstorrent reportedly engaged in takeover discussions with industry players such as Intel and Qualcomm. However, the company ultimately opted to pursue additional funding rather than sell itself. Keller indicated that a demonstration in May 2026, showcasing the capabilities of the Galaxy servers with DeepSeek AI models, served as a pivotal moment that attracted investor interest.
Tenstorrent's valuation in this Series E round more than doubles its valuation from its previous funding round in 2024, where it was valued at approximately $2.6 billion. The company aims to compete with established leaders in the AI chip market, such as Nvidia, AMD, and Broadcom, by offering an open-source approach that it claims is more cost-effective and customizable. The successful funding round signals continued investor interest in the AI chip sector, aligning with a broader trend of substantial investment in companies developing alternatives to proprietary AI computing platforms.