Sold by: DEEPX CO.,LTD.
Deployed on AWS
- The DEEPX Solution is a software product that offers a streamlined, end-to-end workflow for deploying deep learning models to edge devices. It uses a serverless compilation pipeline to automatically trigger the deployment of NPU packages, enabling businesses to quickly and efficiently manage and remotely trigger AI/ML demos on IoT devices.
Overview
The solution provides a streamlined, end-to-end workflow for mass deployment of deep learning models to the edge. It leverages a serverless compilation pipeline that is automatically triggered by ONNX model uploads, followed by the deployment of NPU packages (drivers runtime, and models) to edge devices via AWS IoT Greengrass. This enables efficient management and remote triggering of AI/ML demos on IoT devices.
Highlights
- Effortless Deployment: Our solution provides a streamlined workflow for the mass deployment of deep learning models directly to edge devices, simplifying the process from compilation to delivery.
- Accelerate Innovation: Empower your business to quickly and efficiently deploy AI models at the edge, reducing operational overhead and accelerating time-to-value.
- Automated and Scalable: Leverage a serverless pipeline that automatically deploys deep learning models to your IoT devices, enabling efficient management and remote demos at scale.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
DX Compiler Serverless Orchestrated
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
This product is available free of charge. Free 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.
Dimensions summary
This software runs at no license cost, so you pay only for the AWS compute you select. Each dimension maps to a different EC2 instance type billed per hour. The t2.xlarge, t3.xlarge, and t3a.xlarge options are general-purpose instances. The g4ad.xlarge, g4dn.xlarge, g5.xlarge, and g6.xlarge options add GPU acceleration for model compilation work. You choose one instance type based on the processing power you need, then pay its hourly rate for the hours you run it. Pricing scales with instance size and runtime, not with user count or feature tiers.
Top-of-mind questions for buyers
The software itself runs at no license cost, so there is no software fee on any instance state. You pay only the AWS compute rate for the instance you choose, and that rate applies while the instance runs. A stopped instance stops accruing hourly compute charges, though AWS storage fees may still apply.
Each rate maps to one running EC2 instance of that type for one hour. The t2, t3, and t3a xlarge options give general-purpose CPU compute. The g4ad, g4dn, g5, and g6 xlarge options add a GPU for model compilation. You run the compiler toolchain on that instance.
Both run the compiler that converts trained ONNX models into optimized .dxnn binaries. GPU instances (g4ad, g4dn, g5, g6 xlarge) suit heavier compilation and quantization work. General-purpose instances (t2, t3, t3a xlarge) suit lighter tasks. You pick one type and pay its hourly compute rate for the hours you run it.
deepx.ai
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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
update dx-com version from 2.3.0 to 2.4.0 (see https://pypi.org/project/dx-com )
Additional details
Usage instructions
SSH in as 'ubuntu'. Compile ONNX models with 'dx-compile <model.onnx>'. dx-com and calibration dataset are pre-installed under /opt/dx-compiler.
Support
Vendor support
Email: info@deepx.ai Support URL: https://deepx.ai/contact-us/ We are committed to helping our customers succeed with their AI projects. Our support includes:
- Dedicated Technical Assistance: Get expert guidance on a wide range of topics, including product integration, developer questions, and model optimization.
- Comprehensive Resources: We provide access to a developer portal, quick-start guides, and online video courses to help you get up and running quickly.
- Scalable Support Plans: Whether you're a developer prototyping with the DX TechBridge Kit or a business transitioning to mass production, we offer tailored support plans to meet your specific needs and ensure seamless deployment.
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.
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