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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

CodeMetal is an advanced platform that leverages AI for code translation and deployment, enabling engineering teams to seamlessly transform high-level reference code into optimized implementations suited for edge and embedded systems. Developers can utilize familiar programming languages like Python, MATLAB, or Julia, and the platform automatically produces low-level code adapted to the specific runtime environment, which may include embedded C/C++, Rust, CUDA, or FPGA languages. Its intelligent workflow assesses module dependencies, identifies architectural equivalents, and generates a comprehensive transpilation and deployment strategy that developers can either review or implement immediately. By focusing on verifiable AI, CodeMetal integrates generative methods with formal verification processes to ensure the translated code is rigorously tested, compliant with standards, and ready for production use, thereby addressing reliability issues often faced in safety-critical sectors. This commitment to quality and safety makes CodeMetal an invaluable tool for developers working in demanding environments.

Description

CUDA® is a powerful parallel computing platform and programming framework created by NVIDIA, designed for executing general computing tasks on graphics processing units (GPUs). By utilizing CUDA, developers can significantly enhance the performance of their computing applications by leveraging the immense capabilities of GPUs. In applications that are GPU-accelerated, the sequential components of the workload are handled by the CPU, which excels in single-threaded tasks, while the more compute-heavy segments are processed simultaneously across thousands of GPU cores. When working with CUDA, programmers can use familiar languages such as C, C++, Fortran, Python, and MATLAB, incorporating parallelism through a concise set of specialized keywords. NVIDIA’s CUDA Toolkit equips developers with all the essential tools needed to create GPU-accelerated applications. This comprehensive toolkit encompasses GPU-accelerated libraries, an efficient compiler, various development tools, and the CUDA runtime, making it easier to optimize and deploy high-performance computing solutions. Additionally, the versatility of the toolkit allows for a wide range of applications, from scientific computing to graphics rendering, showcasing its adaptability in diverse fields.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C
C++
MATLAB
Python
Amazon EC2 G4 Instances
Amp
Axivion Static Code Analysis
CUDA
Copernicus Computing
Coverity Static Analysis
Dataoorts GPU Cloud
JarvisLabs.ai
NVIDIA Brev
NVIDIA Magnum IO
NVIDIA TensorRT
NeevCloud
NodeShift
Pruna AI
RightNow AI
Thunder Compute

Integrations

C
C++
MATLAB
Python
Amazon EC2 G4 Instances
Amp
Axivion Static Code Analysis
CUDA
Copernicus Computing
Coverity Static Analysis
Dataoorts GPU Cloud
JarvisLabs.ai
NVIDIA Brev
NVIDIA Magnum IO
NVIDIA TensorRT
NeevCloud
NodeShift
Pruna AI
RightNow AI
Thunder Compute

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Code Metal

Founded

2023

Country

United States

Website

www.codemetal.ai/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/cuda-zone

Product Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

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