Best Artificial Intelligence Software for CUDA

Find and compare the best Artificial Intelligence software for CUDA in 2025

Use the comparison tool below to compare the top Artificial Intelligence software for CUDA on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Cody Reviews

    Cody

    Sourcegraph

    $0
    86 Ratings
    See Software
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    Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support both individual developers and teams, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.
  • 2
    NVIDIA TensorRT Reviews
    NVIDIA TensorRT is a comprehensive suite of APIs designed for efficient deep learning inference, which includes a runtime for inference and model optimization tools that ensure minimal latency and maximum throughput in production scenarios. Leveraging the CUDA parallel programming architecture, TensorRT enhances neural network models from all leading frameworks, adjusting them for reduced precision while maintaining high accuracy, and facilitating their deployment across a variety of platforms including hyperscale data centers, workstations, laptops, and edge devices. It utilizes advanced techniques like quantization, fusion of layers and tensors, and precise kernel tuning applicable to all NVIDIA GPU types, ranging from edge devices to powerful data centers. Additionally, the TensorRT ecosystem features TensorRT-LLM, an open-source library designed to accelerate and refine the inference capabilities of contemporary large language models on the NVIDIA AI platform, allowing developers to test and modify new LLMs efficiently through a user-friendly Python API. This innovative approach not only enhances performance but also encourages rapid experimentation and adaptation in the evolving landscape of AI applications.
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    Pruna AI Reviews

    Pruna AI

    Pruna AI

    $0.40 per runtime hour
    Pruna leverages generative AI technology to help businesses generate high-quality visual content swiftly and cost-effectively. It removes the conventional requirements for studios and manual editing processes, allowing brands to effortlessly create tailored and uniform images for advertising, product showcases, and online campaigns. This innovation significantly streamlines the content creation process, enhancing efficiency and creativity for various marketing needs.
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    JarvisLabs.ai Reviews

    JarvisLabs.ai

    JarvisLabs.ai

    $1,440 per month
    All necessary infrastructure, computing resources, and software tools (such as Cuda and various frameworks) have been established for you to train and implement your preferred deep-learning models seamlessly. You can easily launch GPU or CPU instances right from your web browser or automate the process using our Python API for greater efficiency. This flexibility ensures that you can focus on model development without worrying about the underlying setup.
  • 5
    Brev.dev Reviews

    Brev.dev

    NVIDIA

    $0.04 per hour
    Locate, provision, and set up cloud instances that are optimized for AI use across development, training, and deployment phases. Ensure that CUDA and Python are installed automatically, load your desired model, and establish an SSH connection. Utilize Brev.dev to identify a GPU and configure it for model fine-tuning or training purposes. This platform offers a unified interface compatible with AWS, GCP, and Lambda GPU cloud services. Take advantage of available credits while selecting instances based on cost and availability metrics. A command-line interface (CLI) is available to seamlessly update your SSH configuration with a focus on security. Accelerate your development process with an improved environment; Brev integrates with cloud providers to secure the best GPU prices, automates the configuration, and simplifies SSH connections to link your code editor with remote systems. You can easily modify your instance by adding or removing GPUs or increasing hard drive capacity. Ensure your environment is set up for consistent code execution while facilitating easy sharing or cloning of your setup. Choose between creating a new instance from scratch or utilizing one of the template options provided in the console, which should include multiple templates for ease of use. Furthermore, this flexibility allows users to customize their cloud environments to their specific needs, fostering a more efficient development workflow.
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    NeevCloud Reviews

    NeevCloud

    NeevCloud

    $1.69/GPU/hour
    NeevCloud offers cutting-edge GPU cloud services powered by NVIDIA GPUs such as the H200, GB200 NVL72 and others. These GPUs offer unmatched performance in AI, HPC and data-intensive workloads. Flexible pricing and energy-efficient graphics cards allow you to scale dynamically, reducing costs while increasing output. NeevCloud is ideal for AI model training and scientific research. It also ensures seamless integration, global accessibility, and media production. NeevCloud GPU Cloud Solutions offer unparalleled speed, scalability and sustainability.
  • 7
    NVIDIA Jetson Reviews
    The Jetson platform by NVIDIA stands out as a premier embedded AI computing solution, employed by seasoned developers to craft innovative AI products across a multitude of sectors, while also serving as a valuable resource for students and hobbyists eager to engage in practical AI experimentation and creative endeavors. This versatile platform features compact, energy-efficient production modules and developer kits that include a robust AI software stack, enabling efficient high-performance acceleration. Such capabilities facilitate the deployment of generative AI on the edge, thereby enhancing applications like NVIDIA Metropolis and the Isaac platform. The Jetson family encompasses a variety of modules designed to cater to diverse performance and power efficiency requirements, including models like the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is meticulously crafted to address specific AI computing needs, accommodating a wide spectrum of projects ranging from beginner-level initiatives to complex robotics and industrial applications, ultimately fostering innovation and development in the field of AI. Through its comprehensive offerings, the Jetson platform empowers creators to push the boundaries of what is possible in AI technology.
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    NVIDIA Isaac Reviews
    NVIDIA Isaac is a comprehensive platform designed for the development of AI-driven robots, featuring an array of CUDA-accelerated libraries, application frameworks, and AI models that simplify the process of creating various types of robots, such as autonomous mobile units, robotic arms, and humanoid figures. A key component of this platform is NVIDIA Isaac ROS, which includes a suite of CUDA-accelerated computing tools and AI models that leverage the open-source ROS 2 framework to facilitate the development of sophisticated AI robotics applications. Within this ecosystem, Isaac Manipulator allows for the creation of intelligent robotic arms capable of effectively perceiving, interpreting, and interacting with their surroundings. Additionally, Isaac Perceptor enhances the rapid design of advanced autonomous mobile robots (AMRs) that can navigate unstructured environments, such as warehouses and manufacturing facilities. For those focused on humanoid robotics, NVIDIA Isaac GR00T acts as both a research initiative and a development platform, providing essential resources for general-purpose robot foundation models and efficient data pipelines, ultimately pushing the boundaries of what robots can achieve. Through these diverse capabilities, NVIDIA Isaac empowers developers to innovate and advance the field of robotics significantly.
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    Vast.ai Reviews

    Vast.ai

    Vast.ai

    $0.20 per hour
    Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.
  • 10
    Clore.ai Reviews
    Clore.ai is an innovative decentralized platform that transforms GPU leasing by linking server owners with users through a peer-to-peer marketplace. This platform provides adaptable and economical access to high-performance GPUs, catering to various needs such as AI development, scientific exploration, and cryptocurrency mining. Users have the option of on-demand leasing for guaranteed continuous computing power or spot leasing that comes at a reduced cost but may include interruptions. To manage transactions and reward participants, Clore.ai employs Clore Coin (CLORE), a Layer 1 Proof of Work cryptocurrency, with a notable 40% of block rewards allocated to GPU hosts. This compensation structure not only allows hosts to earn extra income alongside rental fees but also boosts the platform's overall attractiveness. Furthermore, Clore.ai introduces a Proof of Holding (PoH) system that motivates users to retain their CLORE coins, providing advantages such as lower fees and enhanced earnings potential. In addition to these features, the platform supports a diverse array of applications, including the training of AI models and conducting complex scientific simulations, making it a versatile tool for users in various fields.
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