Tachyum announced it has signed a binding agreement for a $220 million Series C investment from a European backer, marking a significant milestone in its mission to redefine AI data center infrastructure.
The funds are expected to be transferred within a month, positioning the company as a significant enabler in the rapidly expanding AI data center market. In addition to the equity investment, the same investor has placed a $500 million purchase order for Tachyum’s Prodigy chips, designed to boost AI performance dramatically and cut the cost of training and deploying large-scale language and AI models by up to two orders of magnitude.
The Series C round follows two earlier funding rounds, bringing Tachyum’s total capital raised to more than $300 million. The company’s lead investor in the United States has previously guided semiconductor companies to public listings, including one valued at $1 billion and another that went public via a multibillion-dollar SPAC. Tachyum expects that this latest financing will support its path toward an eventual initial public offering, which could occur as early as 2027.
The surge in AI and cloud workloads has led to a global race to expand hyperscale data center capacity. The U.S.-backed Stargate Project is investing approximately $500 billion to strengthen AI infrastructure, while the Stargate UAE initiative is developing the world’s largest gigawatt-scale AI data centers on a 5-gigawatt campus in Abu Dhabi. In Saudi Arabia, Humain is constructing large-scale data centers in Riyadh and Dammam, and across Asia and Europe, governments are investing heavily to compete in the AI arms race. European authorities have approved €30 billion in funding for AI data centers over the next two years, and the European Union has selected Tachyum for the Important Project of Common European Interests (IPCEI) program, which supports the continent’s semiconductor and AI ambitions.
Tachyum’s Prodigy Universal Processor sits at the core of its mission to make AI more accessible and cost-efficient. Each chiplet within the Prodigy package integrates 256 high-performance, custom 64-bit cores, achieving three times the performance of leading x86 processors and six times that of the top general-purpose GPUs used for high-performance computing.
By integrating AI, machine learning, high-performance computing, and cloud capabilities into a unified architecture, Prodigy eliminates the need for specialized AI hardware, dramatically improving power efficiency and reducing both capital and operational expenditures in data centers.
How the funding will be used: The new funding will accelerate the completion of Prodigy’s tape-out process, enabling Tachyum to finalize production schedules and prepare for commercial-scale deployment. The company plans to release updated specifications and performance data for Prodigy in the near future. Its chip technology aims to reduce the massive computational and energy demands associated with next-generation AI models such as Kimi K2, ChatGPT-4.5, and BaGauLu—systems that range from one trillion to over 170 trillion parameters, surpassing the complexity of the human brain.
KEY QUOTES:
“With the capital raised from this latest funding round, we are able to get complete Prodigy tape-out with the latest innovations and designs to meet ever-changing market demands. We are seeing how the battle for AI supremacy is currently being waged and we’re excited to bring to market a disruptive chip that will enable AI models with parameters many orders of magnitude larger than the synapses of the human brain at an affordable price at a fraction of cost of existing solutions.”
Dr. Radoslav Danilak, founder and CEO of Tachyum
