Vision
Vision
Our vision is to make nuclear fusion a viable, scalable, and sustainable reality.
Our vision is to make nuclear fusion a viable, scalable, and sustainable reality.
Pranos Fusion aims for an emerging India powered by 2,500 Modular Fusion Reactors, each with a capacity of 50 MW, collectively generating 3,000 GWh daily - a revolutionary step toward meeting India's growing energy demands.
Pranos Fusion aims for an emerging India powered by 2,500 Modular Fusion Reactors, each with a capacity of 50 MW, collectively generating 3,000 GWh daily - a revolutionary step toward meeting India's growing energy demands.
What does 3,000 GWh mean?
What does 3,000 GWh mean?
3,000 GWh can power approximately 1 billion average Indian households for a day, considering an average daily consumption of 3 kWh per household.
3,000 GWh can power approximately 1 billion average Indian households for a day, considering an average daily consumption of 3 kWh per household.
It equals the energy required to charge 30 billion smartphones or light up every streetlight in India (over 35 million) for several years continuously.
It equals the energy required to charge 30 billion smartphones or light up every streetlight in India (over 35 million) for several years continuously.
Powering increased AI dependence
Powering increased AI dependence
Artificial Intelligence (AI) is becoming a key driver for modern economies, but its energy demands are immense and are expected to grow exponentially. Training the OpenAI GPT-3 model reportedly consumed over 3,000 MWh of energy, equivalent to the annual energy use of approximately 1,000 average indian households. For each AI prompt, the energy consumption is around 0.001 to 0.01 kWh, which is roughly 15 times higher than a Google search. This amount of energy is equivalent to running a 10W LED bulb for a few minutes to an hour.
To support the AI revolution sustainably, fusion energy offers a promising solution, providing clean, high-density power that can meet the growing demands of an AI-driven society while ensuring energy security and environmental sustainability.
Artificial Intelligence (AI) is becoming a key driver for modern economies, but its energy demands are immense and are expected to grow exponentially. Training the OpenAI GPT-3 model reportedly consumed over 3,000 MWh of energy, equivalent to the annual energy use of approximately 1,000 average indian households. For each AI prompt, the energy consumption is around 0.001 to 0.01 kWh, which is roughly 15 times higher than a Google search. This amount of energy is equivalent to running a 10W LED bulb for a few minutes to an hour.
To support the AI revolution sustainably, fusion energy offers a promising solution, providing clean, high-density power that can meet the growing demands of an AI-driven society while ensuring energy security and environmental sustainability.
