Crusoe provides clean computing infrastructure powered by stranded energy sources, specifically designed for AI workloads, including model training and scalable inference. This approach reduces operational costs and minimizes the environmental impact of the growing demand for computational resources in the digital economy.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+8Founders
Product
Problem
Training and inferencing large generative models for AI applications require significant computational resources, leading to high costs and limiting accessibility for many organizations. Existing AI infrastructure often lacks the efficiency needed to handle the demands of real-time generative experiences.
Solution
Decart provides an efficient AI platform designed to improve the training and inferencing of large generative models. Their technology offers substantial improvements in both training and inference speeds, enabling the creation of real-time generative experiences. By optimizing AI efficiency, Decart aims to make advanced AI capabilities more accessible and cost-effective for a wider range of users. Their platform facilitates the development of interactive models that can be deployed in real-time applications.
Target Audience
The primary audience includes organizations training or inferencing generative models on large GPU clusters, as well as developers seeking to create real-time generative AI applications.
Features
- AI infrastructure platform optimized for generative models
- Order-of-magnitude improvements in training and inference efficiency
- Real-time interactive AI video model (Oasis)
- Support for large-scale GPU clusters (1000+ NVIDIA H100 Tensor Core GPUs)
- Technology demonstration showcasing real-time AI-generated open world