Sold by: Supported Images
AWS Free Tier
This product has charges associated with it for seller support. The Deep Learning Base Qualcomm AMI powered by Amazon Linux 2 provides a robust platform for developing and deploying various deep learning models efficiently in the cloud. Optimized for Qualcomm hardware, it includes essential libraries such as TensorFlow, PyTorch, and various CUDA accessories, enabling seamless integration and high-performance computing. Users can leverage this AMI for a multitude of applications, including image and speech recognition, natural language processing, and more. Whether you're a researcher, data scientist, or engineer, this AMI allows rapid experimentation and deployment of deep learning solutions, reducing operational complexities while enhancing scalability and performance. Get started quickly with pre-configured settings, ensuring you can focus on building innovative AI applications.
Sold by: Supported Images
Overview
This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
The Deep Learning Base Qualcomm AMI (Amazon Linux 2) is designed to kickstart your deep learning projects with optimized performance and ease of use. This AMI comes pre-configured with essential deep learning frameworks and libraries that are widely used in the industry, offering developers a robust environment for building, training, and deploying machine learning models.
Key Features:
- Pre-installed Frameworks: Includes popular deep learning frameworks like TensorFlow, PyTorch, and MXNet, ensuring a quick setup for your applications.
- Optimized for Performance: Leverage Qualcomm's hardware acceleration capabilities, enhancing computational efficiency and reducing training times.
- Amazon Linux 2 Environment: Benefit from a stable, secure, and high-performance Linux environment tailored for cloud applications.
- Scalability: Easily scale your EC2 instances to accommodate varying workloads, ensuring that you only pay for what you use.
- Security: Regular updates and maintenance to ensure your environment remains secure and compliant.
Benefits:
- Reduced Deployment Time: Launch your deep learning applications faster with a ready-to-go AMI, minimizing the need for extensive setup.
- Cost-Efficiency: Utilize the capabilities of AWS's cloud infrastructure, which offers flexible pricing models tailored to different use cases.
- Support for Advanced Workloads: Handle complex models and large datasets seamlessly, thanks to the optimized configuration for deep learning.
Use Cases:
- Computer Vision: Develop applications for image recognition, classification, and segmentation tasks.
- Natural Language Processing: Explore text analysis and language understanding with state-of-the-art models.
- Generative Models: Experiment with generative adversarial networks (GANs) for creative AI applications.
Leverage the power of the Deep Learning Base Qualcomm AMI (Amazon Linux 2) to advance your artificial intelligence initiatives and build state-of-the-art solutions with ease.
Try our most popular AMIs on AWS EC2
- Ubuntu 24.04 AMI on AWS EC2
- Ubuntu 22.04 AMI on AWS EC2
- Ubuntu 20.04 AMI on AWS EC2
- Ubuntu 18.04 AMI on AWS EC2
- CentOS 9 AMI on AWS EC2
- CentOS 8 AMI on AWS EC2
- CentOS 7 AMI on AWS EC2
- Debian 12 AMI on AWS EC2
- Debian 11 AMI on AWS EC2
- Debian 10 AMI on AWS EC2
- Debian 9 AMI on AWS EC2
- Red Hat Enterprise Linux 9 (RHEL 9) AMI on AWS EC2
- Red Hat Enterprise Linux 8 (RHEL 8) AMI on AWS EC2
- Red Hat Enterprise Linux 7 (RHEL 7) AMI on AWS EC2
- Oracle Linux 9 AMI on AWS EC2
- Oracle Linux 8 AMI on AWS EC2
- Oracle Linux 7 AMI on AWS EC2
- Amazon Linux 2023 AMI on AWS EC2
- Windows 2022 Server AMI on AWS EC2
- Windows 2019 Server AMI on AWS EC2
- Docker on Ubuntu 20 AMI on AWS EC2
- Docker on CentOS 7 AMI on AWS EC2
Highlights
- The Deep Learning Base Qualcomm AMI (Amazon Linux 2) is optimized for high-performance deep learning tasks, providing pre-installed libraries such as TensorFlow, PyTorch, and MXNet. This ensures that developers can start building, training, and deploying machine learning models with minimal setup time. Its compatibility with NVIDIA GPUs enhances performance, allowing users to leverage accelerated computing for resource-intensive applications, deepening their insights from large datasets.
- This AMI supports various use cases, including image and speech recognition, natural language processing, and autonomous driving applications. By providing a robust environment tailored for deep learning, the AMI empowers data scientists and machine learning engineers to accelerate their development cycles. Furthermore, the easy integration with AWS services like S3 and EC2 instances facilitates seamless data handling and processing within the cloud infrastructure.
- Security and scalability are paramount, and this AMI inherits the strengths of Amazon Linux 2, ensuring compliance with best practices for updates and security patches. Users can easily scale their environments based on demand, utilizing EC2 Auto Scaling and Load Balancing. This AMI is ideal for enterprises looking to innovate rapidly, as it combines the flexibility of the cloud with an optimized deep learning foundation, driving competitive advantage.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
Typical total price
This estimate is based on use of the seller's recommended configuration (g4dn.4xlarge) in the US East (N. Virginia) Region. View pricing details
$2.324/hour
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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.07 | $0.02 | $0.09 |
t2.nano | $0.07 | $0.006 | $0.076 |
t2.micro AWS Free Tier | $0.21 | $0.012 | $0.222 |
t2.small | $0.07 | $0.023 | $0.093 |
t2.medium | $0.14 | $0.046 | $0.186 |
t2.large | $0.14 | $0.093 | $0.233 |
t2.xlarge | $0.28 | $0.186 | $0.466 |
t2.2xlarge | $0.56 | $0.371 | $0.931 |
t3.nano | $0.07 | $0.005 | $0.075 |
t3.micro AWS Free Tier | $0.07 | $0.01 | $0.08 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Fees for this product are not refundable. The instance can be terminated at any time to stop incurring charges.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
System Updates
Additional details
Usage instructions
SSH to the instance and login as 'ec2-user' using the key specified at launch.
OS commands via SSH: SSH as user 'ec2-user' to the running instance and use sudo to run commands requiring root access.
More on using Deep Learning AMI with Conda: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-conda.html
Resources
Vendor resources
Support
Vendor support
Email support for this AMI is available through the following: https://supportedimages.com/support/ OR support@supportedimages.com
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
Deep Learning AMI DLAMI Ubuntu 18.04 LTS | Support by SupportedImages
By Supported Images
This product has charges associated with it for seller support. The Deep Learning AMI DLAMI Ubuntu 18.04 LTS is a powerful and flexible Amazon Machine Image designed for deep learning and AI development in the cloud. Pre-configured with popular frameworks such as TensorFlow, PyTorch, and MXNet, this AMI enables developers to streamline their machine learning workflows. It supports GPU instances for accelerated performance, making it ideal for training complex models quickly. With extensive documentation and community support, users can easily deploy and manage their deep learning applications. Suitable for data scientists, researchers, and developers, this AMI accelerates experimentation and innovation in machine learning projects, providing a robust environment to tackle various data-driven challenges effectively. Leverage the power of AWS to scale your AI initiatives with ease.
Deep Learning AMI DLAMI Ubuntu 16.04 LTS | Support by SupportedImages
By Supported Images
This product has charges associated with it for seller support. The Deep Learning AMI DLAMI Ubuntu 16.04 LTS is designed for developers and data scientists looking to streamline the deployment of deep learning applications on AWS EC2. This AMI comes pre-installed with popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet, enabling rapid experimentation and model training. With GPU support for accelerated performance, users can efficiently process large datasets, making it ideal for tasks ranging from image recognition to natural language processing. Additionally, the image is optimized for easier integration with AWS services like S3 and SageMaker. Whether you're prototyping ML models or running production workloads, the DLAMI Ubuntu 16 provides a versatile, scalable solution for all your deep learning needs.
This is a repackaged software product wherein additional charges apply for support by Bansir with Deep Learning AMI (DLAMI) Amazon Linux 2 and includes support.
DLAMI ARM Base OSS Nvidia GPU Ubuntu 22 | Support by SupportedImages
By Supported Images
This product has charges associated with it for seller support. The Deep Learning ARM64 Base OSS Nvidia Driver GPU AMI (Ubuntu 22.04) is designed for developers and researchers who require a robust environment for advanced machine learning tasks. This Amazon Machine Image (AMI) leverages ARM64 architecture for optimized performance and is pre-configured with essential deep learning frameworks, including TensorFlow and PyTorch, as well as the latest Nvidia drivers. Users can quickly launch multiple EC2 instances to scale their deep learning experiments and leverage the power of GPU acceleration, enhancing training times and processing capabilities. Ideal for data scientists, AI developers, and businesses looking to deploy AI solutions, this AMI simplifies the setup process and ensures a seamless experience for demanding computational workloads. Explore deep learning without the hassle of manual configurations.
Hugging Face Neuron Deep Learning AMI (Ubuntu 22.04)
By Hugging Face
Hugging Face Neuron Deep Learning AMI (DLAMI) makes it easy to use Amazon EC2 Inferentia & Trainium instances for training and inference of Hugging Face Transformers and Diffusers models, offering up to 50% cost-to-train savings over comparable GPU-based DLAMIs.
Customer reviews
No customer reviews yet
Be the first to write a review for this product.