HotChips recently posted from their event where our Chief Hardware Architect, Sean Lie, discusses our revolutionary approaches in core architecture, scale-up, and scale-out to meet ML demand. Watch his presentation here: https://
hubs.ly/Q01v6NqK0
@cerebras
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Revolutionary Core Architecture for ML Demand at HotChips
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Cerebras VP Discusses Next-Generation AI Applications at Summit
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Cerebras VP of Product Andy Hock will be at the AI Summit NY. Attend his panel discussion on driving next-generation AI applications today at 3:20 PM ET
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Cerebras AI Model Studio: Building Massive Platform
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@Forbes contributor Karl Freund recently wrote about our AI Model Studio, saying, “[Cerebras is] building a massive platform that requires a unique go-to-market model. And this announcement is just the start of that journey.” Read more here: https://
hubs.li/Q01v6lVJ0 -
CS-2 Performance Optimization with Data Structure Descriptors
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Attend our Developer Community Meeting tomorrow! On Tuesday at 9 am PST, Compiler Engineer Athanasios Konstantinidis will discuss getting the most performance out of CS-2 cores with data structure descriptors (DSDs) in CSL. Sign up here: https://
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Cerebras Announces Andromeda AI Supercomputer at SC22
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Cerebras had a successful SC22! We announced Andromeda, our new AI supercomputer, won the Gordon Bell prize for HPC-based COVID-19 research alongside Argonne National Lab, and published work with the National Energy Technology Laboratory. Read more here:
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Sparsity Research Reduces AI Training and Inference Costs
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Our team was at #NeurIPS this week, where we made several announcements regarding our research into sparsity. Read our overview of sparsity and how it can be used to reduce cost and time of training and inference: https://
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Jasper AI Advances GPT Networks for User Complexity Levels
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With @JasperAI, we strive to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. Read more here: https://
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Cerebras Scientist Presents Neural Scaling Laws Workshop
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Cerebras Research Scientist, Joel Hestness, will be presenting at the 4th Neural Scaling Laws Workshop in New Orleans, hosted by Irina Rish. Reserve your spot here: https://
hubs.li/Q01txgWD0 #neurips #sparsity #ml #ai -
Cloud Infrastructure Challenges for Large-Scale AI Model Development
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“Many companies would like to be able to quickly research and develop these large-scale models, but the infrastructure that exists in traditional cloud just doesn't make this kind of large-scale R&D easy," says Andy Hock. Read more in Tiernan Ray's article
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Sparse GPT-3 Models Achieve 3x FLOP Reduction on CS-2
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We trained unstructured sparse 1.3B GPT-3 models on CS-2 systems and demonstrated how we achieve competitive results at a fraction of the inference FLOPs – our 83.8% sparse model achieved a 3x reduction in FLOPs at matching performance Learn more here: