Samsung Electronics just placed bets on three rival AI labs in the same week. It led Mistral AI’s €3 billion Series D funding round, confirmed joint research and production of next-generation chips with OpenAI, and was reported to be in early talks with Anthropic on custom chip manufacturing. Nobody else is connecting these stories, but together they reveal Samsung’s strategy: become the indispensable hardware partner to every leading AI lab, even as those labs compete with each other. This Samsung Mistral AI partnership headlines the trio, but all three deals point the same way.
Samsung Leads Mistral’s €3 Billion Round
Announced September 8, 2026, in Paris at the South Korea-France state summit, Samsung led Mistral AI’s Series D round worth €3 billion (about $3.5 billion), valuing the French lab at more than €21 billion (about $24 billion). Co-leads included the Scale-Up Europe Fund managed by EQT and PSG Equity, with NVIDIA and Dutch chip-equipment maker ASML also participating. Samsung’s individual contribution was not disclosed, though Korean press reports suggest it was under 1 trillion won.
The partnership, announced by Samsung, focuses on on-premises AI across Samsung’s Device Solutions chip division. Samsung will combine its semiconductor manufacturing data with Mistral’s models, including the flagship Mistral Large, to build customized AI for defect detection, equipment optimization, yield stabilization, and process design, all running inside Samsung’s own infrastructure so sensitive fab data never leaves the company.

OpenAI Deepens Samsung Chip Cooperation
One day later, on September 9 in Seoul, OpenAI Korea general manager Harrison Kim confirmed the company is deepening its partnership with Samsung across chip manufacturing, memory production, and enterprise software, according to Reuters. Joint research and production of OpenAI’s next-generation chips is reportedly the area with the most progress, though Kim did not specify Samsung’s exact role, process node, or volumes.
Context matters here. Samsung and SK Hynix signed letters of intent in October 2025 to supply memory for OpenAI’s Stargate data center project, with Samsung estimating potential demand of up to 900,000 DRAM wafers per month. OpenAI’s first custom inference chip, Jalapeño, beats Nvidia Blackwell in early tests, was developed with Broadcom and is manufactured by TSMC, with Samsung reportedly supplying sixth-generation HBM4 memory for it. The new cooperation could extend Samsung’s role from memory supplier into foundry and advanced packaging for future OpenAI silicon.
Anthropic Reportedly Exploring Samsung Foundry Support
Meanwhile, competitor Anthropic is also reportedly exploring custom chip manufacturing partnerships with Samsung, though that project remains in early stages. Details are thin, but the logic mirrors OpenAI’s: labs designing their own inference accelerators need a manufacturer beyond TSMC, plus vast quantities of high-bandwidth memory, and Samsung offers both under one roof.
This sets up an unusual triangle. OpenAI and Anthropic lead the English-language model leaderboards and dominate among coders, while Mistral has trailed with a focus on smaller, open-weight models. Samsung is now simultaneously funding one lab, co-designing chips with a second, and courting a third, each of which competes directly with the others.
Why Samsung Is Courting Three Rivals at Once
Samsung’s playbook becomes clear when the three deals are viewed side by side:
| Partner | Deal type | What Samsung gets | What the lab gets |
|---|---|---|---|
| Mistral AI | Lead investor in €3B Series D plus strategic partnership | On-premises AI for chip design and manufacturing; equity stake | Capital, compute credibility, flagship industrial customer |
| OpenAI | Joint research and production of next-gen chips; Stargate memory LOI | Foundry and HBM orders at massive scale | Memory supply, potential second foundry source beyond TSMC |
| Anthropic | Early-stage custom chip manufacturing talks | Another anchor foundry customer | Manufacturing option and HBM supply leverage |
For Samsung, which competes with TSMC in foundry and SK Hynix in memory, locking in demand from all three labs hedges against any single winner. For the labs, Samsung is one of very few companies that can supply leading-edge memory and manufacture custom silicon, giving them leverage over TSMC pricing and capacity.
Is Mistral Making a Comeback?
Critics have called Mistral irrelevant, too far behind OpenAI and Anthropic to matter. The Samsung deal, plus NVIDIA and ASML joining the same round, suggests otherwise. Mistral’s enterprise pitch has always been customized, secure, on-premises deployments for industries like finance, manufacturing, and energy, and a semiconductor giant trusting it with fab-floor AI is a powerful proof point.
Mistral also used the moment to frame its mission as sovereign, open-weight AI reaching frontier capability, positioning itself as Europe’s answer to American labs. Whether it pushes into frontier multimodal models with audio, video, and image generation, or doubles down on efficient smaller models for on-device use in phones and home systems, remains an open question. Samsung’s investment keeps both paths alive and gives Mistral the industrial data and capital to try.
Frequently Asked Questions
Who owns Mistral AI?
Mistral AI is an independent French startup founded in 2023. Samsung led its Series D, but its individual stake size was not disclosed, and co-leads included EQT’s Scale-Up Europe Fund and PSG Equity alongside NVIDIA and ASML.
What does Mistral AI do?
Mistral builds large language models, including its flagship Mistral Large, with an emphasis on open-weight releases, smaller efficient models, and customizable enterprise deployments that can run on-premises for security-sensitive industries.
Is Mistral AI doing well?
Its €3 billion Series D at a valuation above €21 billion, described as Europe’s largest tech equity fundraising, plus backing from Samsung, NVIDIA, and ASML, indicates strong investor confidence despite trailing OpenAI and Anthropic on public leaderboards.
Why does Samsung need OpenAI and Anthropic too?
Memory and foundry are volume businesses. Supplying Stargate-scale memory and potentially manufacturing custom inference chips for multiple labs fills Samsung’s fabs and HBM lines regardless of which lab’s models win, while giving each lab a non-TSMC supply option.
The Bigger Picture
Three takeaways stand out from Samsung’s busy week:
- Samsung is the only company offering leading-edge memory and foundry capacity under one roof, which every AI lab needs.
- Mistral’s on-premises, open-weight approach fits industrial customers, a lane where open models challenge OpenAI and Anthropic on cost.
- Custom silicon is becoming table stakes, following moves like the Intel-Microsoft AI silicon partnership and the Samsung-AMD HBM4 collaboration.
Viewed separately, these are three modest tech stories: a funding round, a vague chip R&D pledge, and an early-stage rumor. Viewed together, they show Samsung executing a deliberate strategy to sit at the center of the AI boom, as a banker to Mistral, a memory supplier and chip co-designer to OpenAI, and a would-be manufacturer to Anthropic. The labs may be rivals, but they all need the same thing Samsung sells: silicon. That makes Samsung, not any single model provider, the quiet winner of the week.
