JuliaHub

Collaborate in real-time on complex computing projects with limitless power, reproducibility, and AI-driven code assistance, all in a secure and compliant environment.
Technical Computing Collaboration Tools High-Performance Computing

JuliaHub is a technical computing platform that includes advanced modeling, simulation and collaboration tools. It's built on the Julia language for access to CPUs and GPUs for multi-threading, parallel and distributed computing, making it a great option for big computing jobs.

JuliaHub's features include:

  • Interactive Development: Co-author code directly in the cloud, sharing code and working in real time.
  • Limitless Power: Customize server configurations, set time and cost limits on jobs and use up to 32 core CPUs, 1000 nodes and 128GB of memory.
  • Reproducibility: Record changes across projects, re-run batch jobs and archive past projects for reference.
  • AskAI: Integration with ChatGPT so you can ask questions and get examples of code and language help for Julia and Julia packages.

JuliaHub also offers a variety of specialized products for modeling and simulation, including JuliaSim, Pumas and Cedar-EDA. These tools speed up product development by bringing the power of Julia, SciML and thousands of public and private packages to a unified environment.

Security and compliance are built in with features like authenticated access, private package management and Git-based access controls for versioning and rollback. JuliaHub also caters to enterprise needs with tools for high-performance computing on demand, like CloudStation for managing virtual machines and distributed jobs.

JuliaHub is geared for teams and organizations, where collaboration and control are important, but it also can be used by individuals who need speed, agility and frictionless performance. It's geared for technical computing tasks like scientific modeling, digital twins and machine learning where high-performance computing is common. With transparent pricing tiers and a free version to get you started, JuliaHub is available to a broad range of users and use cases.

Published on June 29, 2024

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