On-Premises & Sovereign AI
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Who owns AI, and where does it run?
The push by countries to build their own models and computing resources is called sovereign AI. This axis records national programs that buy GPUs and hand them out or pick national champion models, sovereign compute investment in Europe and the Gulf states, and deployments where companies run models on their own servers or in environments cut off from the outside, without sending their data out. The same word, "sovereign," turns up in policy, investment and product names alike, so the records note separately what is controlled, and by whom.
AIMade by AIThis introduction was written by AI (Claude) from the axis's records, and published after automated checks. The owner doesn't read every item.How it's made
A path has opened for agent runtimes to move from vendor products to foundation-owned standard infrastructure. The key is defining the harness, model and sandbox as swappable slots: if this separation takes hold, the cos
A case of AI moving beyond models and chips into manufacturing and logistics operating systems themselves; supply-chain planning at the scale of 1.3 million parts has become a real target of agentic optimization.
A trend in which the form of contract shifts from "selling a model" to "training a dedicated model on the customer's data", with air-gapped deployment rising to a commercial requirement.
A phase of the sovereign-infrastructure race in which AI infrastructure investment spreads beyond the US and the Middle East into mid-sized Asia-Pacific markets.
A turning point at which Europe's open-weight, sovereign AI camp secured capital to rival US big tech, notable for the direct participation of semiconductor supply-chain companies such as Samsung Electronics, NVIDIA and
A design answer to the point where demands for data sovereignty clashed with misuse monitoring. If a structure that makes safety monitoring work outside the vendor's servers becomes standard, the barrier to adopting fron
A Saudi sovereign wealth fund affiliate puts forward an on-device AI PC as the endpoint of a sovereign AI stack — a phase in which local inference becomes an item of geopolitical procurement
Following xAI, Mistral too partners with HUMAIN — a setup in which Gulf capital secures labs from different camps at the same time. Mostly at the review and planning stage
All four teams' models were judged to meet the independence criteria; with a newly introduced public user evaluation included, the field narrowed to three
More than 3 times the 236B of phase 1. The switch to Apache 2.0 removes commercial restrictions
A phase-2 result of the independent foundation model program
Released a 200B-class MoE under Apache 2.0 while lowering the bar for on-premises deployment to 1–2 GPUs
The authors include an actual semiconductor manufacturer, and the design explicitly assumes on-premises use with no data leaving the site. It means defect report automation is possible with 1–2 in-house GPUs. There is, h
Consolidation of the North American and European sovereign AI camps. The end of independence for Aleph Alpha, once Europe's flagship lab
Brought the project back to four teams after the first-round cut, all to be evaluated in August under the same development period, GPUs and data
The first eliminations in Korea's largest government-funded AI program
The moment large Korean open-weight models appeared all at once
The race to secure compute through Gulf capital. The announcement gives no MW capacity, GPU count or construction start date, so it is all at the planning stage
A rare case of AMD and NVIDIA coming in as investors together. Sidesteps the frontier race by positioning itself on enterprise and sovereign AI
A state-led program to foster open-weight models
With an advocate of sovereign AI in the control tower of national AI policy, a discourse born in industry was institutionalized as national strategy
A model lab expanding into a European sovereign compute provider. The only GPU figure given is a range: tens of thousands
A case of a Gulf state framing an open-weight model in its own language as the language of sovereignty
The moment Europe flipped its discourse from regulation first to no regulation without champions. A turning point in the EU sovereign AI debate
The first confirmed case of Japanese state funding actually producing a domestic 100B-class model
An approach in which the state directly subsidizes GPU usage fees to grow many domestic foundation models in parallel. An industrial policy that spreads its bets rather than picking winners
The pillar that moved Japan's national AI compute up a generation. A national compute model shared by private startups and universities
The turning point at which sovereign AI in Korea moved from a corporate marketing term to a national policy term. This person became head of the government's AI policy 9 months later
An early case of the compute-as-public-good model, in which the state procures and allocates GPUs directly. Later a reference point for Korean and Japanese plans
Presented by Naver as Korea's first hyperscale AI and a means to AI sovereignty; a closed model later succeeded by HyperCLOVA X