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  • Cerebras
    Cerebras is the go-to platform for fast and effortless AI training Learn more at cerebras ai
  • Cerebras
    This is the documentation for developing kernels for Cerebras system Here you will find getting started guides, quickstarts, tutorials, code samples, release notes, and more
  • Login - Cerebras
    Forgot your password?Are you an employee? Login here
  • CSL Language Guide — SDK Documentation (1. 4. 0) - Cerebras
    Syntax of CSL Type system overview Variables Pointers Functions Statements Operators Comments Builtins @activate @allocate_fifo @as @assert @bitcast @bind_control_task @bind_data_task @bind_local_task @block @comptime_assert @comptime_print @concat_structs @constants @dimensions @element_count @element_type @field @fp16 @get_array @get_color @get_config @get_config_unchecked @get_control_task
  • Tutorials — SDK Documentation (1. 4. 0) - Cerebras
    This series of tutorials serves as an introduction to bulding programs written in CSL using the Cerebras SDK In each successive tutorial, we introduce additional language features, using a general matrix-vector product (GEMV) as our core computation
  • GlaxoSmithKline and Cerebras are Advancing the State of the Art in AI . . .
    An exciting result of this work is our new paper “ Epigenomic Language Models Powered by Cerebras ” which describes a novel technique which allowed us to train more sophisticated AI models for genetic data than was previously practical
  • Cerebras Developer Community
    Get up and running quickly without changing your workflows Utilize existing frameworks for your work or dive deep developing custom kernels – the Cerebras Software Platform is designed for flexibility and optimization
  • Installation and Setup — SDK Documentation (1. 4. 0) - Cerebras
    This guide provides step-by-step instructions for installing the Singularity container build of the Cerebras Software Development Kit (SDK) This is the way to use the SDK if you’re running the fabric simulator locally on your own machine, or you’re using a legacy Cerebras system installation




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