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Control C02 Emissions in your LLM
and reduce carbon impact during fine-tuning of your models, thereby reducing the infrastructure costs when deploying and operating your own models
Did you know?
Pre-training models like ChatGPT3.5 can cost up to 500T of C02 emissions, which represents the equivalent of a round-trip from New-York to Paris
Our Unique Value Proposition
Safe Deployment
We work on-prem or in the cloud, on your own models and data.
Reduce Emissions
We help you reduce the impact of fine-tuning and inference, as well as well as guide you towards the right pre-trained model.
Reduce Infrastructure Costs
The model being fine-tuned optimally, you can reduce your storage, compute and inference costs.
Preserve sovereignty
on your data, they don't leave your infrastructure.
What our peers say from our solution
Here are the feedbacks
Don't let AI develop unchecked without controlling its impact!
Book a meeting with us and kick off your "responsible AI" journey!
Our Operating Model
EcoLLM proposes packages that are suited to your needs and company profile
Essential Package
Our Essential package is designed for startups and small businesses looking to optimize their AI models while respecting their budget
Features:
- Access to our LLM C02 reporting technology.
- Basic AI resource monitoring.
- Based on your models and public datasets.
- Email customer support.
Advanced Package
Our Advanced package is suitable for medium-sized businesses that want additional features and personalized support
Features:
- All the features of the Essential package, plus:
- In-depth AI performance analysis.
- Access to our CSR reporting dashboard.
- Dedicated customer support.
- Consideration of your public and private models and datasets.
- Customization of optimization solutions.
Enterprise Package
Our Enterprise package is designed for large companies and organizations requiring a comprehensive and scalable solution for their AI needs
- Features:
- All the features of the Essential and Advanced packages, plus:
- Custom integration with existing infrastructures.
- Dedicated training and support for the internal team.
- Production of one CSR report per year for your annual publications.
- Priority access to customer support.
Who we are?
In a world where artificial intelligence (AI) is becoming ubiquitous, the need to optimize large language models (LLMs) while reducing their carbon footprint is more pressing than ever. EcoLLM positions itself as the pioneer in sustainable optimization of LLMs, offering a revolutionary solution that significantly reduces the energy consumption and associated costs of training and running AI models, including versions like GPT-3, whose carbon footprint can reach 500 tons of CO2.
Our innovative technology is based on a combination of advanced machine learning algorithms and cloud infrastructure optimization techniques, allowing for a significant reduction in the carbon footprint of training LLMs. In parallel, EcoLLM provides a management platform that helps businesses monitor, analyze, and optimize the use of their AI resources in real time, drawing on the principles of FinOps for the cloud.
As the world moves towards massive adoption of AI across all sectors of the economy, EcoLLM not only emerges as a key player in reducing the environmental impact of this transition but also as a conduit for substantial savings for businesses. By facilitating an ecological and economic transition towards more responsible AI practices, EcoLLM is committed to supporting the United Nations’ sustainable development goals, with a particular focus on innovation and infrastructure (Goal 9) and climate action (Goal 13), while promoting financial inclusion and energy transition.