for your AI and machine learning initiatives
Simple Machine’s Composable Computing accelerates application performance by optimizing the very hardware it runs on. On premise. On the cloud.
Composable Computing takes any application from the world of big data and machine learning computation and deconstructs it into a series of abstract behaviors that are easily defined as instructions.
Composable Computing deploys an automated and inventive compiler that integrates directly into the backends for TensorFlow, ONNX, and PyTorch and translates those program behaviors to the processor. This enables existing AI code bases to integrate seamlessly.
Executing the program on hardware that is reconfigured in real time enables behavioral integration at the transistor level, as if the hardware were originally designed for the program. This ensures an optimal hardware organization that balances computational requirements for a given program, without having any knowledge of the program when the chip was designed.
Composable compute platform for accelerating AI and ML environments
Future-ready for emerging models and diverse workloads
40x-plus higher performance
Fast development, broader use
Rapid deployment, reduced TCO
As the world increasingly becomes algorithmic and data-driven, data analytics must evolve to address dynamic analytic requirements. With our solution’s programmability and time scalability, engineers can develop applications and efficiently execute software for various computing needs across many industries in many different compute environments.Click to see Deployment
Composable Computing is compatible with applications in the cloud…
…or it can integrate seamlessly with on-premise hardware.