Mistral, the second largest AI company in Europe, completes €3 billion Series D funding round, with valuation rising to €21.3 billion

09/29 2026 358

Tide of AI Editorial Team

On September 8, French AI company Mistral AI announced the completion of a €3 billion Series D funding round, with its post-investment valuation rising from €12 billion a year ago to €21.3 billion.

Samsung Electronics led this round, with the EU-backed Scaleup Europe Fund and existing investor PSG Equity co-leading. ASML, NVIDIA, BlackRock, a16z, and others continued to increase their stakes. This marks the largest equity funding round for a European private tech company to date.

Founded in mid-2023, Mistral is seen as a representative enterprise in Europe's efforts to build autonomous AI capabilities.

Unlike OpenAI and Anthropic, Mistral focuses on open-weight models, allowing customers to download and run models on their own servers without data leaving their local environment. This approach directly appeals to European enterprises and public sectors sensitive to data sovereignty. Currently, its business covers 20 countries, serving 125 large enterprise clients including Airbus, ASML, and HSBC.

The use of funds in this round points toward computing autonomy.

Mistral plans to build local data centers in Europe, aiming to achieve 1GW of computing power by 2030, doubling its computing capacity within five years and shifting from renting third-party capacity to relying entirely on self-built infrastructure. CEO Arthur Mensch stated that the funds will eliminate "critical bottlenecks" in accessing computing power, enabling the company to achieve a scale "very comparable" to that of Chinese labs. Samsung's involvement carries clear industrial synergy intentions.

Jun Yonghyun, head of Samsung's chip manufacturing and memory division, said this funding round lays the foundation for long-term cooperation between the two companies. Samsung plans to leverage Mistral's AI to improve its chip manufacturing systems, while Mistral's future expansion of computing clusters will continue to drive demand for HBM and memory chips.

The previous Series C round was led by ASML, while Samsung took the lead in this round, with the largest contributors in both rounds coming from the semiconductor supply chain. This signals a specific trend: large model companies are becoming algorithm validation grounds and demand entry points for chip manufacturers.

Mistral is using €3 billion to purchase computing power and build data centers, while Samsung is using this investment to secure a high-end manufacturing AI deployment channel.

However, compared to the global competitive landscape, Anthropic has raised approximately $100 billion this year, placing Mistral's funding volume in a different league.

The monetization efficiency of the open-weight model is inherently weaker than that of closed-source SaaS. Mistral has set a revenue target of €1 billion for fiscal year 2026. Whether commercialization can keep pace with computing expansion will be a question to address in the next funding round.

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