Simple, Solar AI

Large scale problems we face:

Environment Changing Earth

Human interaction Human relations shape our world

Biology How can we be healthy

For each of these problems, ML and AI has become a path to finding solutions.

Environment
Pollution, CO2, GHG - Weather - Agriculture - Earth Systems

Human interaction
Language - Art - Beauty - Games - Robotics - Simulations - Health and Sports - Transport - Economy - Finance Production (design, manufacture, sales) Education - Health Care

Biology
Molecular Biology - Genetics - Cells - Health - Medical & Clinical

Models.

Building and training models.

The results from models affect us and our world.

Computing resources to support research

CO2 object models

CO2

Objects and products

Human interaction models

Human comunication

Attention

Behavior, psychology and brain

Biological models

Molecular biology

Genetics

Cells

Health

Medical & Clinical

Our needs for training models

Large compute using GPU

High electricity consumption

High cooling requirements

Capacity expansion limited by electrical grid and location

Data is close to internet

Expansion

ML and AI has become linked to human competition.

Models will grow larger

We make and need models of everything

Model designs will compete

Forward from physics

High electricity consumption - Solar array
High cooling requirements - Larger surface area for cooling
Training models does not need internet

Solar powered data center

A Jing Compute Block is T/G/NPU with solar power.

Jing blocks are owned or leased by the user,

including the hardware that the block is made of,

including solar power and power storage.

Long term training.

The land that a Jing block occupies is leased or owned.

Data storage is provided by the user, physically sited on the block.

Solar AI Datacenters in Deserts

Cheap - low capital fixed and operating cost

Renewable - no limit energy supply

Simple - simpler than grid power

Expandable - fewer obstacles to growth

Estimated AI Budgets of City Governments

	World Cities	Planning Budget	City Gov. AI Budget
Billion USD	394	7.88	0.1576
City	Non-Salary Budget	Planning at 2%	ML Modeling at %2
New York	44	0.88	0.0176
Tokyo	42	0.84	0.0168
Los Angeles	30	0.6	0.012
Seoul	25	0.5	0.01
Chicago	20	0.4	0.008
London	20	0.4	0.008
Paris	19	0.38	0.0076
San Francisco	18	0.36	0.0072
Dallas	17	0.34	0.0068
Washington	16	0.32	0.0064
Houston	15	0.3	0.006
Osaka	14	0.28	0.0056
Shanghai	14	0.28	0.0056
Boston	13	0.26	0.0052
Seattle	13	0.26	0.0052
Beijing	13	0.26	0.0052
Atlanta	11	0.22	0.0044
Philadelphia	11	0.22	0.0044
Singapore	10	0.2	0.004
Moscow	10	0.2	0.004
Miami	10	0.2	0.004
Shenzhen	9	0.18	0.0036