Company intelligence
JuliaHub
A Unified Ecosystem for Science and Engineering.
About JuliaHub
JuliaHub’s mission is to empower those tackling the world’s toughest scientific and technical challenges with cutting-edge tools in a seamless, secure environment. JuliaHub combines advanced mathematical computing and machine learning expertise to enable scientific machine learning (SciML) techniques, Digital Twin modeling, and next-generation modeling and simulation in pharmaceutical, aerospace, automotive and other industrial verticals. Our product Dyad (formerly JuliaSim) is a leading solution for multi-physics modeling and simulation, combining traditional techniques with modern SciML approaches to tackle complex engineering challenges. Our platform product JuliaHub is a cloud-based offering for developing, deploying, and scaling Julia programs as well as for managing enterprise requirements around governance, security, traceability, reproducibility and compliance. As an FDA CFR 11-compliant platform, JuliaHub provides a unified environment for pharmacometrics, enabling seamless workflows for pharmaceutical modeling and drug development.
Verified activity
Signals from JuliaHub
5 published signals
Presence & Recognition
JuliaHub announced that Julia is closing in on the TIOBE Index top 20 once again.
Reported by JuliaHub
Products & Services
JuliaHub announced that cuTile.jl has reached version 1.0, allowing developers to access NVIDIA GPUs using tile-level array operations in the open-source Julia language.
Reported by Barry Christenson
Products & Services
JuliaHub released cuTile.jl 1.0, introducing capabilities for writing and optimizing GPU kernels including Tile windows with ct.eachtile, masked and view-based atomics, sparse views for gather/scatter operations, compiler remarks showing optimizations such as Tensor Core usage, programmatic dependent launches for potential kernel overlap, and Tile IR 13.4 support.
Reported by JuliaHub
Presence & Recognition
JuliaHub is hosting an upcoming webinar titled Pluto in VS Code: Notebooks Meet AI Agents on September 15, 2026, featuring Panagiotis Georgakopoulos to discuss the Advanced Pluto extension.
Reported by JuliaHub
Presence & Recognition
JuliaHub hosted a hands-on walkthrough for Model-Based Engineering and Physical Systems Engineering featuring Dr. Fredrik Bagge Carlson on a Dyad to build a 3D multibody model, design and optimize the controller in simulation, generate deployable C code, and run it on a Raspberry Pi.
Reported by Barry Christenson