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JuliaHub’s flagship product Dyad combines SciML, digital twins & AI-driven simulations for high-performance modeling.

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Fast matrix multiplication on GPUs has traditionally meant wrestling with threads, shared memory, and low-level hardware details. This webinar explores how NVIDIA’s CUDA Tile model—and its Julia port, cuTile.jl—makes high-performance GPU programming more accessible. Join Dr. Andy Terrel of NVIDIA and Dr. Tim Besard of JuliaHub to see real examples across linear algebra, AI inference, and HPC. Register here - #JuliaLang #GPUProgramming #CUDA #HPC #AIInfrastructure
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Fast matrix multiplication on GPUs has traditionally meant wrestling with threads, shared memory, and low-level hardware details. This webinar explores how NVIDIA’s CUDA Tile model—and its Julia port, cuTile.jl—makes high-performance GPU programming more accessible. Join Dr. Andy Terrel of NVIDIA and Dr. Tim Besard of JuliaHub to see real examples across linear algebra, AI inference, and HPC. Register here - #JuliaLang #GPUProgramming #CUDA #HPC #AIInfrastructure

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