Overview
TensorFlow Serving is a flexible, high-performance system for machine learning models. It is used in several applications for research, education, and business and also in IA projects such as real-time language translation. TensorFlow Serving makes it easy to deploy new algorithms and experiments. This image integrates the TensorFlow ResNet model, which is a model for machine-based image recognition, but it can be easily extended to serve other types of models and data.
This open source solution is packaged by Bitnami. Learn how to install, configure, and manage it at docs.bitnami.com. For deployment issues, reach out to our support team at community.bitnami.com.
Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.
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Highlights
- Ready to begin classifying and captioning images out of the box; or easily deploy any other compatible machine learning framework.
- Stable system architecture and APIs enable developers to quickly deploy new machine learning algorithms into production.
- The included Inception v-3 framework is highly accurate; it identified the correct category as one of its top 5 guesses 96.54% of the time in the ImageNet Challenge.
Details
Typical total price
$0.019/hour
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.00 | $0.012 | $0.012 |
t2.small | $0.00 | $0.023 | $0.023 |
t2.medium | $0.00 | $0.046 | $0.046 |
t2.large | $0.00 | $0.093 | $0.093 |
t2.xlarge | $0.00 | $0.186 | $0.186 |
t2.2xlarge | $0.00 | $0.371 | $0.371 |
t3.micro AWS Free Tier | $0.00 | $0.01 | $0.01 |
t3.small | $0.00 | $0.021 | $0.021 |
t3.medium | $0.00 | $0.042 | $0.042 |
t3.large | $0.00 | $0.083 | $0.083 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
N/A
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
- Maintenance release
- Updated python to 3.12.5
- Updated setuptools to 70.3.0
- Updated gonit to 0.2.11
Additional details
Usage instructions
Once the instance is running, access your instance via SSH using the username 'bitnami' and your Amazon private key. For additional setup instructions and frequently asked questions please go to https://docs.bitnami.com/aws/infrastructure/tensorflowserving/
Resources
Vendor resources
Support
Vendor support
Bitnami also provides technical documentation for installation and setup issues through our support center at
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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