Groq supports standard machine learning frameworks like PyTorch, TensorFlow, and ONNX for inference, but does not currently support ML training with the LPU Inference Engine. The GroqWare suite, including Groq Compiler, provides a push-button experience for custom model development. Users can optimize workloads by hand coding to the Groq architecture and have fine-grained control over GroqChip processors for developing custom applications with maximum performance.


							Groq supports standard machine learning (ML) frameworks such as PyTorch, TensorFlow, and ONNX for inference. Groq does not currently support ML training with the LPU Inference Engine.For custom development, the GroqWare™ suite, including Groq Compiler, offers a push-button experience to get models up and running quickly. For optimizing workloads, we offer the ability to hand code to the Groq architecture and fine-grained control of any GroqChip™ processor, enabling customers the ability to develop custom applications and maximize their performance.						