Tracel's full-stack solution increases your team velocity while reducing operational cost by handling the most tedious parts of model development. From research to production we support your AI infrastructure needs, letting you concentrate on your core problems.
Multi-platform high-performance compute language extension for Rust.
Flexible, efficient and portable deep learning framework designed for both training and inference.
MLOps platform from experiment tracking to model inference monitoring.
Tracel can help your team get up to speed with custom training and premium support.
Modern AI transforms data and compute into actionable intelligence. The more data and computational power available, the smarter your models can become. Through synthetic data generation and simulation, compute itself can even serve as a source of data, emphasizing its critical role in AI advancements.
Explore how Tracel is shaping the deep learning landscape by reading our blog as well as technical articles on the Burn website. Don't forget to subscribe to our newsletter to gain insights into the latest company updates, blog posts, and news surrounding Burn.
The current AI ecosystem, developed through collaborative research efforts, has led to an incredible AI revolution. However, it still faces significant challenges.
Porting models across different platforms requires enormous effort, with training and inference often requiring separate implementations. The ecosystem remains fragmented across hardware vendors, which can slow innovation and hinder deployment.
Hardware-specific optimizations, required for efficient model execution, create additional complexity. This limits flexibility and requires teams to maintain multiple versions of the same model to achieve optimal performance across different accelerators.
To make artificial intelligence more efficient, flexible, and portable. Our goal is to enable groundbreaking research while meeting the strictest requirements for production deployments.
We are rethinking the ecosystem from first principles, developing comprehensive solutions from compiler tools to collaborative platforms.
A future where anyone can easily create intelligent systems without unnecessary limitations.
AI extends far beyond chatbots and basic business automation. It should be deployed across all kinds of products, from autonomous robots handling household tasks to video games simulating immersive realities that create extraordinary experiences.
We believe contributing to open source is the best way to create new technologies. It accelerates adoption, fosters collaboration, and enables rapid iteration, outpacing any closed-source solution.
Through open development, we create a foundation that benefits the entire AI community and ensures transparency in our technological advances.
