Audience
AI developers interested in a new programming language for AI
About Mojo
Mojo 🔥 — a new programming language for all AI developers.
Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models.
Write Python or scale all the way down to the metal. Program the multitude of low-level AI hardware. No C++ or CUDA required.
Utilize the full power of the hardware, including multiple cores, vector units, and exotic accelerator units, with the world's most advanced compiler and heterogenous runtime. Achieve performance on par with C++ and CUDA without the complexity.
Other Popular Alternatives & Related Software
CUDA
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In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords.
The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.
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Python
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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Code Metal
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OpenCL
OpenCL (Open Computing Language) is an open, royalty-free standard for cross-platform parallel programming of heterogeneous computing systems that lets developers accelerate computing tasks by leveraging diverse processors such as CPUs, GPUs, DSPs, and FPGAs across supercomputers, cloud servers, personal computers, mobile devices, and embedded platforms. It defines a programming framework including a C-based language for writing compute kernels and a runtime API to control devices, manage memory, and execute parallel code, giving portable and efficient access to heterogeneous hardware. OpenCL improves speed and responsiveness for a wide range of applications including creative tools, scientific and medical software, vision processing, and neural network training and inferencing by offloading compute-intensive work to accelerator processors.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
Modular
Founded: 2022
United States
www.modular.com/mojo
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Product Details
Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Mojo Frequently Asked Questions
Q: What kinds of users and organization types does Mojo work with?
Mojo works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Mojo support in their product?
Mojo supports these languages: English.
Q: What other applications or services does Mojo integrate with?
Mojo integrates with: Koi Editor and Modular.
Q: What type of training does Mojo provide?
Mojo provides training in the form of documentation.
Q: How much does Mojo cost?
Pricing for Mojo starts at Free.
