Sold by: Askforcloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support. The Julia programming language is a free and open source flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages.
Overview
This is a repackaged open source software product wherein additional charges apply for support and maintenance by AskforCloud LLC.
The Julia programming language is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages.
Julia features optional typing, multiple dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation, implemented using LLVM. It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this, Julia builds upon the lineage of mathematical programming languages, but also borrows much from popular dynamic languages, including Lisp, Perl, Python, Lua, and Ruby.
The most significant departures of Julia from typical dynamic languages are:
- The core language imposes very little; Julia Base and the standard library are written in Julia itself, including primitive operations like integer arithmetic
- A rich language of types for constructing and describing objects, that can also optionally be used to make type declarations
- The ability to define function behavior across many combinations of argument types via multiple dispatch
- Automatic generation of efficient, specialized code for different argument types
- Good performance, approaching that of statically-compiled languages like C
Advantages of Julia :
- Free and open source (MIT licensed)
- User-defined types are as fast and compact as built-ins
- No need to vectorize code for performance; devectorized code is fast
- Designed for parallelism and distributed computation
- Lightweight "green" threading (coroutines)
- Unobtrusive yet powerful type system
- Elegant and extensible conversions and promotions for numeric and other types
- Efficient support for Unicode, including but not limited to UTF-8
- Call C functions directly (no wrappers or special APIs needed)
- Powerful shell-like capabilities for managing other processes
- Lisp-like macros and other metaprogramming facilities
Disclaimer : This Virtual machine offer contains free and open source software. All the softwares, trademarks used in the Virtual machine offer are the exclusive property of their respective owners. Askforcloud LLC does not offer commercial license of the product mentioned above.
Highlights
- Julia is a language that is fast, dynamic, easy to use, and open source.
- Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single language.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs CentOS Stream 9
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.10 |
t2.micro | $0.10 |
t3.micro | $0.10 |
r6a.24xlarge | $1.00 |
m6i.16xlarge | $1.00 |
m5zn.12xlarge | $0.90 |
r6in.large | $0.10 |
h1.8xlarge | $0.70 |
r5dn.4xlarge | $0.30 |
i2.8xlarge | $0.70 |
Dimensions summary
You pay by the hour for Julia running on CentOS Stream 9. Pricing is usage-based, so you are billed only for the hours each instance runs. There are no tiers or plans to choose from. Instead, you pick the AWS EC2 instance type that fits your workload. Each instance type is a separate hourly rate. The rate scales with the size and capability of the instance. Larger instances with more compute, memory, storage, or GPU resources carry higher hourly rates. General-purpose, compute, memory, storage, and accelerated instance families are all available. Vendor support is included.
Top-of-mind questions for buyers
One hour equals one running hour of a single EC2 instance of that type. You are billed for each hour the instance stays running. The rate matches the instance type you launch. Running several instances bills each one separately at its own hourly rate.
The hourly software charge applies only while an instance runs. Stopping an instance halts the software charge for that instance. Underlying AWS storage or other AWS resources may still incur separate AWS fees, but the Julia software rate meters running hours only.
Each instance type carries its own hourly rate tied to its compute, memory, storage, or GPU capacity. You choose the type that fits your Julia workload. Selecting a smaller type lowers your hourly rate. You can switch types by launching a different instance for later runs.
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For this offer, Askforcloud LLC does not offer refund, you can cancel at anytime.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Updated Julia to version 1.11.2 on the latest CentOS Stream 9 image for enhanced performance, stability, and optimized development workflows.
Additional details
Usage instructions
Connect to EC2 Linux instance - https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html ( Port - 22 and Username - ec2-user)
The Julia Programming Language - Use the following steps:
- Check Julia Version, run ""julia --version""
- Version : julia version 1.8.3
- To Start an interactive session for julia from the command line:Type "julia" and To exit the interactive session, type CTRL-D or type exit().
- Refer documentation at https://docs.julialang.org/en/v1/manual/getting-started/
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
This product has charges associated with it for seller support. This is open source software, which is repackaged by Hanwei. The additional cost is applicable to the extended support of 24-hour response time.This AMI contains CentOS Stream 9 Latest (with Julia-1.10) and includes support.
This product has charges associated with it for technical support with a 24-hour response time. This AMI contains Julia on CentOS Stream 9 repackaged by Easycloud, fully configured for production environments. The system is built on a minimal installation of CentOS Stream 9 , updated to the latest version, and includes continuous updates and support to ensure a secure and lightweight foundation.
This product has charges associated with it for seller support. Julia is a high performance, open source programming language designed for numerical computing, data analysis, and scientific research.
This product has charges associated with it for seller support. Julia is high-performance scientific computing, machine learning, data science, and numerical analysis workloads.
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