Available globally with an unlimited number of six-hour free sessions, allowing ML developers and researchers to try IPUs without friction or any upfront costs.
Select an IPU runtime with pre-configured Docker containers and launch from your browser in seconds within Gradient's simple web-based Jupyter IDE.
Instantly access IPU-POD4, IPU-POD16 and Bow Pod16 machines delivering up to 5.6 petaFLOPS of AI compute, designed from the ground up for new breakthroughs in machine intelligence.
Effortlessly run state-of-the-art ML models accelerated by the architectural advantages of the IPU - including NLP, Computer Vision, and Graph Neural Networks (GNNs).
Discover a range of self-guided learning content including hands-on tutorials and code examples from basic programming concepts to optimisation techniques.
Fully integrated with common ML frameworks including PyTorch and TensorFlow, plus popular libraries including Hugging Face Optimum transformers.