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Lightmatter’s $400M round has AI hyperscalers hyped for photonic data centers
Jacqueline Choi
October 17, 2024
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💸 Lightmatter’s $400M round has AI hyperscalers hyped for photonic data centers
🧠 Simulation mimics how the brain grows neurons, paving the way for future disease treatments
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Photonic computing startup Lightmatter has raised $400 million to blow one of modern data centers’ bottlenecks wide open. The company’s optical interconnect layer allows hundreds of GPUs to work synchronously, streamlining the costly and complex job of training and running AI models.
The growth of AI and its correspondingly immense compute requirements have supercharged the data center industry, but it’s not as simple as plugging in another thousand GPUs. As high-performance computing experts have known for years, it doesn’t matter how fast each node of your supercomputer is if those nodes are idle half the time waiting for data to come in.
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A new computer simulation of how our brains develop and grow neurons has been built by scientists from the University of Surrey. Along with improving our understanding of how the brain works, researchers hope that the models will contribute to neurodegenerative disease research and, someday, stem cell research that helps regenerate brain tissue.
The research team used a technique called Approximate Bayesian Computation (ABC), which helps fine-tune the model by comparing the simulation with real neuron growth. This process ensures that the artificial brain accurately reflects how neurons grow and form connections in real life.
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