Optimizing Software-Hardware efficiency in high-performance computing and AI through 15 years of Inria research
Optimizing Software-Hardware efficiency at every level of high-performance computing and AI
A comprehensive energy analysis tool that helps HPC and AI users identify inefficiencies in their applications. Python interface, Linux support, support for all hardware.
Intelligent infrastructure optimization platform that helps organizations make data-driven decisions about their HPC&AI environments.
A reliable software library (C API) for integrating energy efficiency measures into your code.
Our solutions deliver measurable improvements to your HPC&AI environment
Energy-to-solution means optimizing time AND energy. Energy is currently the bottleneck for HPC and AI.
Improving Software-Hardware energy efficiency is an excellent way to improve performance. Energy is the only metric that is universal enough to encompass the various computing technologies, from CPUs to quantum computing, including GPUs and FPGAs.
Works seamlessly with your existing HPC&AI infrastructure and software stack without requiring modifications.
See how Denergium can optimize your HPC&AI environment's Software-Hardware efficiency with a personalized demonstration.
Our demo will show you how to achieve more FLOPS per Watt in your HPC&AI environment.
Denergium was founded in 2023 by Hervé and Jean-Paul, bringing together 15 years of cutting-edge research from Inria in energy-efficient computing.
Our mission is to bridge the gap between academic research and industrial application, delivering tangible Software-Hardware efficiency improvement for high-performance computing and AI environments.
Supported by Inria Startup Studio and BPI France