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.
We also publish a papers-of-the-month blog post / newsletter, which you can subscribe to here.
Fast and memory-efficient exact attention
PyTorch-native post-training at scale
Dequantisation kernels and benchmarks for weight quantisation formats
Verilog evaluation benchmark for large language model
An open-source benchmark for generating design RTL with natural language
A high-throughput and memory-efficient inference and serving engine for LLMs
A PyTorch native platform for training generative AI models
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