Luch energy
Innovative Energy Management Solutions
for AI computing
AI is Growing. So Are Its Energy Demands.
AI workloads are exponentially increasing, driving up the energy and cooling needs in data centers. For instance, running a request on ChatGPT consumes 10x more energy compared to a typical Google search. With the rise of AI model complexity, this trend is only set to grow.
AI's Energy Footprint Will Only Grow
With AI models becoming larger and more complex, data centers will need even more energy. For example, training large AI models can use as much as 1,287 megawatt-hours of energy—the equivalent of running 100 homes for a year. Projections indicate that data centers housing AI workloads could contribute a significant portion of global emissions unless energy-efficient measures are adopted.
Our solution is designed to tackle this impending energy crisis, providing the tools you need to optimize for both today and tomorrow.
Efficient, Scalable, and Future-Proof
Our solution is designed to help AI-clusters to manage energy consumption effectively. We provide powerful tools, that can cut energy consumption by 15-20% during AI model training without compromising performance.
Cut Energy Usage by Up to 20%: Our power optimization tools ensure AI clusters run at their best while consuming less.
Prepare for the AI Boom: As AI workloads scale up, be prepared to meet the growing sustainability comlience.
Cooling Efficiency: Lower water and energy consumption through enhanced cooling strategies.
Our case study with google cloud V100 GPUs shows high computational speed with reduced energy cost
