Overview
Overview
TensorFlow Serving GPU delivers production-ready machine learning model deployment with GPU acceleration. Built on tensorflow/serving:latest-gpu, this solution provides high-throughput inference serving for TensorFlow models with enterprise reliability and scalability.
Features
- GPU-accelerated inference for maximum performance
- REST and gRPC APIs for flexible integration
- Model versioning and hot-swapping capabilities
- Auto-scaling based on request load
- Production monitoring and health checks
- Multi-model serving from single instance
Getting Started
Deploy instantly on port 8501 with your trained TensorFlow models. Simply mount your model directory and start serving predictions via REST API endpoints. Supports SavedModel format with automatic model discovery and version management.
Disclaimer: This software is open-source and distributed under its own licensing terms. It is not affiliated with, endorsed by, or sponsored by the upstream project maintainers. Provided "as is" without warranty. Users utilize this software at their own risk and are responsible for compliance with applicable regulations.
Highlights
- GPU-accelerated ML inference serving
- REST/gRPC APIs with auto-scaling
- Production-ready model deployment
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/hour |
|---|---|---|
t3.medium Recommended | t3.medium instance | $0.01 |
t3.micro | t3.micro instance | $0.00 |
t3.large | t3.large instance | $0.01 |
m5.large | m5.large instance | $0.01 |
r5.large | r5.large instance | $0.01 |
m5.xlarge | m5.xlarge instance | $0.01 |
Vendor refund policy
No refunds. Cancel anytime. Contact support@waltsoft.net .
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Legal
Vendor terms and conditions
Content disclaimer
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
Initial release of Invoice Ninja - Billing Platform on AWS Marketplace by Waltsoft.
Additional details
Usage instructions
Step 1: Launch this AMI from AWS Marketplace using a t3.medium or larger instance. Step 2: SSH into the instance with ssh ubuntu@<public-ip>. Step 3: Wait 2-3 minutes for Docker services to start on first boot. Step 4: Access the application at http://<public-ip>:80 in your browser. Step 5: Check /opt/waltsoft/README.md for default credentials and configuration details.
Support
Vendor support
For technical support, email support@waltsoft.net or visit
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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