AI at the edge is rapidly evolving. Novel models, such as LLMs, emerge quickly and make technological predictions challenging. At the same time, hardware solutions are diversifying and increasing in complexity.
Traditional deployment methods cannot keep up with this pace and have become major adoption barriers for edge AI. They come with low adaptability, limited performance, and are painful to use.
Roofline revolutionizes this process with a software solution that offers unmatched flexibility, top performance and ease of use. Import models from any framework and deploy them across diverse hardware with just a single Python call.
ONLY ROOFLINE SOLVES PROGRAMMABILITY FOR ANY ADVANCED HARDWARE
We break the adoption barrier for efficient and secure edge computing witha software-first approach
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How it works
Our next-gen AI compiler.
1
Load trained AI model
2
Optimization & quantization of AI model
3
Mathematical abstraction
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Code generation for specific hardware
5
Standardized HW-SW interfaces
6
Firmware and runtime
# Advantages
Flexible
Deploy any model from any framework on different target hardware. Our retargetable compiler enables deployment of groundbreaking applications on the most efficient hardware.
Efficient
Unlock the full potential of your system. We offer clear performance advantages: up to 4x less memory usage and 1.5x lower latency, without compromising on accuracy.
EASY
We make deployment as easy as a Python call. Our SDK has all the tools under the hood that you need. From quantization to debugging—unfold them if you want, or let us do the magic.
We think from the user perspective: dynamic, automated and scalable.
At Roofline, we're advancing sustainable AI technology and seeking ambitious individuals for flexible on-site or remote roles. Contribute to meaningful, disruptive innovations with us.
