Sold by: bCloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Paddle is an advanced platform for subscription management and payment processing, designed for SaaS businesses.
Overview
Paddle 3.3.0 on Ubuntu 24.04 with Free maintenance support by bCloud
bCloud runs Paddle on Ubuntu 24.04 for machine learning workloads that require high performance, scalability, and dependable production environments.
Available Now on AWS Marketplace
Paddle on Ubuntu 24.04 with Maintenance Support (bCloud)
This is an open-source deep learning platform repackaged by bCloud with operational support included.
What You Get
- A ready-to-use environment for deep learning and AI projects
- Fast setup on AWS EC2 using an Amazon Machine Image (AMI)
Why Use Paddle for Deep Learning?
Paddle integrates smoothly with Python, making it easy to adopt for teams already working with Python-based development workflows.
AWS Marketplace Setup
The solution is delivered as a preconfigured Amazon Machine Image, ensuring consistency across every new instance you launch. Paddle runs across multiple EC2 instance types and supports model development, testing, training workloads, and live AI services without disruption.
Both infrastructure usage and support charges appear directly on your AWS bill, removing the need for separate invoices.
Best Use Cases
Paddle is well suited for model development, computer vision applications, natural language processing tasks, and large-scale AI training workloads.
Support Options
Optional maintenance from bCloud includes AMI updates, security patches, and regular dependency upgrades to keep the environment current and stable.
Highlights
- Optimized for scalable AI workloads.
- Unified AWS billing.
- Optional bCloud maintenance support, with security patches.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
m3.medium | $0.10 |
c3.large | $0.10 |
c4.large | $0.10 |
c5.large | $0.10 |
t3.small | $0.10 |
m5.large | $0.10 |
t2.small | $0.10 |
Dimensions summary
You pay by the hour for the AWS EC2 instance type you run. Each dimension maps to a specific instance size, so pricing scales with the compute capacity you choose. The t2 and t3 families cover burstable general-purpose workloads, from nano and micro up through 2xlarge. The m3, m4, and m5 families offer balanced general-purpose compute at the large size. The c3, c4, and c5 families target compute-focused work, while r3, r4, and r5 cover memory-focused work. You select the instance that fits your workload and pay only for the hours it runs.
Top-of-mind questions for buyers
Each dimension maps to one AWS EC2 instance running the software for one hour. The instance type sets your CPU and memory. Burstable t2 and t3 types share CPU credits, while m, c, and r types provide fixed general-purpose, compute-focused, or memory-focused capacity. You pay per running hour.
The software charge meters running instance-hours only. A fully stopped instance does not accrue software charges. Note that underlying AWS storage or other resources tied to a stopped instance may still incur separate AWS fees, but the hourly software rate applies only while the instance runs.
No flat platform fee is listed. Billing is usage-based, so your cost reflects the hours each selected instance type runs. Running a larger or more capable instance raises the hourly rate. Running more instances at once adds each instance's hours to the same invoice.
bcloud.ai
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Vendor refund policy
No refund
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
Packaged with latest updates as of Jan/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt #source paddle-venv/bin/activate #python -c "import paddle; print(paddle.version)"
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai Website:
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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