Our research team’s mission is to follow and contribute to the advancement of AI research, aiming to characterize the computational requirements of machine intelligence.
To learn more about the Graphcore research team and the work we’ve been doing, check out our blog and recent papers.
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Support materials for "On Stochastic Rounding with Few Random Bits", Fitzgibbon and Felix, ARITH 2025
PyTorch native quantization and sparsity for training and inference
A PyTorch native library for large model training
A library to analyze PyTorch traces.
Training Large Language Model to Reason in a Continuous Latent Space
A Python toolbox to compute topological metrics and statistics for Knowledge Graphs
