White House Announces Over $6 Billion Science Initiative, $1 Billion for NVIDIA, $500 Million for AMD, $200 Million for OpenAI
The Trump administration unveiled a science initiative totaling over $6 billion at the New Golden Age of Science Summit, funded by the federal government, corporations, academia, and charitable organizations.
Among this, $2.4 billion comes from 11 companies to the Genesis Task Force for superintelligent tools and computing power, supporting over 15 federal agencies' national science and technology challenges. NVIDIA contributes $1 billion, AMD $500 million, OpenAI $200 million, Anthropic and Google each $150 million, AMP and Emerald AI each $100 million, and AWS, Armada, Crusoe, and Micron each $50 million. This follows the expansion of the task to over 15 agencies in July, with federal commitments exceeding $5 billion.
On the biological side, the National Institutes of Health, Department of Energy, and Biohub are launching an $1.8 billion virtual biology project to create a data and modeling foundation for virtual cells, predicting cellular and biological system responses to diseases and potential interventions. The project is under Bio Genesis, aiming to double the speed of biomedical innovation within 5 to 10 years.
On the quantum side, the Department of Energy has outlined 8 priority applications, guiding a $215 million Quantum Genesis Q competition to fund teams demonstrating fault-tolerant and scientifically useful quantum computers. The National Science Foundation has also set up two competitions, each with $33 million in prizes, focusing on quantum cross-applications and synthetic multicell systems. In aerospace, NASA and the Department of Energy signed a memorandum to collaborate on space nuclear power and nuclear fuel. Space Reactor-1 is a nuclear-powered Mars probe aimed for launch in 2028, while Lunar Reactor-1 will be the first fission reactor on the Moon.
Also included are education and institutional initiatives. The Genesis Scholarship is $100 million, designed for a four-year accelerated PhD program, combining superintelligence with another science or engineering discipline, and involving corporate and national laboratory partnerships. More than 14 universities and 10 states are forming a Southeast Regional Computing Alliance. Georgia and its universities and businesses announced a $1 billion investment in scientific computing and workforce development. The X-Labs Alliance has over $310 million in industry and charitable commitments, building on the National Science Foundation's $1.5 billion X-Labs program from May.
The buyers are federal laboratories and university projects, while the sellers are chip, model, and cloud vendors contributing credits instead of cash. The event is driven by summit subscriptions. NVIDIA alone accounts for over 40% of the $2.4 billion credits, with funding forms as tools and computing credits, entering energy, health, and space challenges. Beneficiaries are the institutions receiving credits and suppliers exchanging credits for federal research workflows. Those not on the list of 11 companies but competing for the same pool of scientists' default computing power are under pressure. Once credits are exhausted, renewals will still follow procurement processes.
Source: Public Information
ABAB AI Insight
This $6 billion initiative is not starting from scratch. The Genesis Task was launched by executive order in November 2025, with the Department of Energy signing on 24 partners in December 2025, including NVIDIA, AMD, Anthropic, Google, OpenAI, and AWS. In July 2026, federal commitments exceeded $5 billion, expanding to over 15 agencies. The addition on October 8 includes $2.4 billion in credits from 11 companies, along with task directives for biological, quantum, and space nuclear power.
The funding structure has three layers. Chip and model vendors provide credits: NVIDIA $1 billion, AMD $500 million, OpenAI $200 million, Anthropic and Google each $150 million. The federal government provides tasks: $1.8 billion for virtual cells from the NIH, DOE, and Biohub, $215 million for the quantum competition from the DOE, and the 2028 Mars nuclear reactor from NASA and the DOE. Universities and states provide computing facilities, with Georgia alone committing $1 billion for scientific computing. The motivation is to align federal data, supercomputing, and default models on the same challenge list.
This is similar to the Manhattan Project and Apollo missions, also involving cloud computing credits in exchange for government migration. The difference this time is the simultaneous sale of chips, models, and cloud credits, with tasks ranging from fusion and quantum to lunar fission reactors. The industry position is in an expansion phase: federal budgets have already committed, and suppliers are using credits to secure scientists' default tools.
Essentially, this is a restructuring of the industrial chain. Scientific computing is shifting from in-house supercomputers in laboratories to external credits combined with federal data. The mechanism is that credits lower the price of initial calls, with task directives determining where calls are directed. NVIDIA holds a significant portion of the credits, while model vendors exchange smaller credits for workflow positions. If virtual cells and fault-tolerant quantum computing take off, renewal rights will not be determined by summit declarations but by who becomes the default interface first.
ABAB News · Cognitive Laws
Credits dominate entry, budgets dominate tasks.
Cash goes to the treasury, credits go to habits.
The largest contributor sets the default computing power first.