Nvidia’s H100 AI GPUs Projected to Surpass Energy Consumption of entire nations

Nvidia's H100 GPUs projected to consume over 13,000 GWH in 2024, surpassing energy consumption of entire nations like Georgia and Costa Rica.
Nvidia's H100 GPUs projected to consume over 13,000 GWH in 2024, surpassing energy consumption of entire nations like Georgia and Costa Rica.
India's semiconductor journey from 2020 to 2024 witnessed remarkable growth and strategic initiatives aimed at enhancing the country's position in the global semiconductor market.
US leads in Quantum computing while China has an edge in quantum communication.
Attention mechanism is a pivotal concept in artificial intelligence (AI), enabling models to focus on relevant information while disregarding irrelevant details.
OpenAI stands at a crossroads of admiration and apprehension, hailed by some as a hero leading the charge towards benevolent AI and criticized by others as a potential villain endangering humanity's future.
The Chip IN facility will act as one stop centre to provide semiconductor design tools, fab access, virtual prototyping hardware lab access to fabless chip designers of the country.
Transformers operate through a specialized technique known as attention. This technique allows them to focus on the crucial or relevant elements of the data while disregarding the irrelevant parts.
As artificial intelligence continues to advance, the limitations of existing chip architectures become increasingly apparent.
1 bit LLMs reduce the size and complexity of the model, and make it easier to store and process.
Enhanced scalability allows for handling ever-increasing compute demands, while accelerated time-to-market requirements are met through rapid optimization of PPA.