AIQUE Quantum ESG and Sustainability
AIQUE ESG Vision
Quantum Technology has the potential to transform our World, AIQUE is committed to ensuring that our Technology benefits the environment and society as a whole. We are focused on being a change-maker driving and supporting innovation that enhances education and health for all, improves food, water and energy security, addresses social needs, reduces waste, assures environmental protection, as well as economic growth, and support Businesses and Governments in accelerating Net Zero Targets for Global betterment
AIQUE Quantum: Comparative capability, Energy Consumption, CO2 Footprint
AIQUE Change-Making through Positive Disruption in all of the UN Global sustainable development 17 Goals
Support Universities through new Technology development and advance Quantum knowledge
Establish resilient food and water management processes, improve supply chains and affordability
Enhance Agriculture, Crop Resilience and Yields, improve Hydrology, Soil Analysis and Weather Forecasting
Improve Climate strategies, such carbon capture, enhance Climate modeling and Weather forecasting
Reduce CO2 footprints of Data Centers, AI / LLM Training due to reduced Computational Power and Data needs
Enhance Health through disease prediction, novel drug discovery, improve efficacy and personalized treatment
Optimization of Logistics, Supply chains, Manufacturing Processes and reduce raw materials and wastes streams
Advance Materials and Energy Management for Sustainable Smart City Designs, Processes and Manufacturing
Battery Design, Hydrogen Technology and Green Fuel production
Establish accurate and detailed interaction simulations, modeling of chemicals and advance Materials design
Optimize nitrogen fixation processes and reduce need for fertilizer input
Improve Power Grid Design, Energy Management optimization and decarbonisation
Example: AIQUE ESG Quantum Advantage for Data-Center Architecture Design, Energy Loading and Data Processing:
The Global Data Center electricity consumption in 2022 was 240-340 TWh1, or around 1% of global final electricity demand(1). An estimated CO2 output value at 330 Mt CO2 /Kg. ChatGp-3 training, is the heaviest carbon emitter by far even the relatively more efficient BLOOM took 433 MWh of power to train (average US home for 40 years) and 36,500 kg of CO2(2). In addition Tirias Research estimates that GenAI infrastructure and operating costs will exceed $76 billion by 2028(3). Globally Just a 1% saving in CO2 and Costs for the Industry would 3.3 Million tonne and $760,000,000 USD.
AIQUE Quantum application the Industry would significantly reduce both Cost and CO2 footprints considering the need for less Computational and Data processing requirements and AI model training parameters. Furthermore Quantum could enhance Energy Management including Grid Designs and establish demand efficiencies, as well as advance Data-Center Infrastructure including Server, Battery and Chip Design.
International Energy Agency, July 11th, 2023(1)
Stanford AI in Charts, April 3rd 2023(2)
FORBES Generative AI Breaks The Data Center, July 24th 2023( 3)