Clear Fracture's Translation converts text from 92 languages into English using transformer-based translation models optimized for short-form content such as social media posts. Delivered as an AWS Marketplace AMI, it supports both manual use and scalable pipeline integration through a web interface and REST API.
The Translation Module is a pre-configured Amazon Machine Image that provides machine translation from 92 languages into English. It is designed for organizations that need accurate, scalable translation of short-form multilingual content, including social media posts, messages, comments, and other sentence-length text. The product is available as a standalone translation module or as part of the broader Belvedere™ Agentic Data Management Platform. The AMI includes Docker, translation models, training data, and a systemd service that starts automatically on boot, reducing setup time and helping teams move quickly from deployment to operation. Clear Fracture trains and adapts translation models to support customer-specific missions. The standard pretrained models are optimized for sentence-sized chunks of content, and the service automatically chunks longer input text as needed. Out of the box, the Translator supports 92 source languages to English, with Bilingual Evaluation Understudy, or BLEU, scores often above 50 on supported evaluation sets. Customers may also incorporate their own models or request customized models from Clear Fracture. The Translation Module exposes both a web user interface and a REST API. Users can submit source text and receive translated output through the interface, while developers and data teams can integrate translation into automated workflows through API endpoints. The API includes a bulk endpoint for processing large batches of text, making the product suitable for elastically scalable data pipelines. The service supports configurable query parameters, including source language and target language. Specifying the source language can improve speed and accuracy. If the source language is not provided, the service performs automatic language detection. Clear Fracture's Translation Module is designed for efficient execution on both CPUs and GPUs. Its runtime architecture uses performance techniques including layer fusion, padding removal, batch reordering, in-place operations, caching, parallel execution, asynchronous processing, and dynamic memory usage.
Highlights
Translates text from 92 languages into English.
Deploying translation as a standalone AMI in a customer-controlled AWS environment.
Translating multilingual social media posts into English.
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 is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.
You pay by the hour for the GPU instance type you run this module on. All twelve options bill the same way — the rate depends on the instance size you select. Two instance families are available: g4dn and g5. Within each family, sizes range from xlarge up to larger multi-GPU configurations, plus a bare-metal g4dn option. You pick the instance that matches your workload, and hourly charges scale with the compute capacity of that size. There is no upfront commitment; you are billed only for the hours you use.
Top-of-mind questions for buyers
What does the hourly rate cover, and what is not included in it?
The rate covers the software module running on your chosen GPU instance for each hour it runs. It does not include the underlying AWS compute infrastructure, storage, or data transfer. Those AWS charges appear separately on your bill. You pick the instance size that fits your workload.
Am I charged when an instance is stopped or paused?
Software charges accrue per hour the instance runs. When you stop or terminate the instance, the hourly software charge stops. Stopped instances may still incur AWS storage fees for attached volumes, but the module meters running time only. There is no upfront commitment.
What determines which instance size I need for this module?
The module runs AI agents that discover data sources, generate pipelines, and monitor them. Heavier workloads with more sources or higher throughput call for larger instances. The g4dn and g5 families offer sizes from xlarge up to multi-GPU and bare-metal configurations. Match the size to your compute needs.
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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
Product Standardization.
Additional details
Usage instructions
Clear Fracture Translator AMI Usage
Launch
Launch the AMI from the EC2 console in a supported AWS Region. The AMI includes Docker, translation models, training data, and a systemd service that starts automatically.
Recommended minimum instance type: t3.large. For concurrent or heavier workloads, use t3.xlarge or larger. Smaller instances are not recommended for production.
Allow inbound TCP port 5001 only from trusted IP ranges, private networks, or an approved load balancer. Allow SSH on port 22 only from trusted administrator IP addresses.
Storage
Root volume: operating system, Docker image, and application files
Models volume: models and training data mounted at /mnt/models
Do not reduce the models volume below its default size. Increase it if custom models will be added.
The /api/docs endpoint provides Swagger documentation for the REST API.
REST API
Base URL:
http://<instance-ip>:5001
List available target languages:
curl http://<instance-ip>:5001/targetlangs
Translate text:
curl -X POST http://<instance-ip>:5001/translate \
-H "Content-Type: application/json" \
-d '{"text":"Bonjour tout le monde","src_lang":"fr","target_lang":"en"}'
The service uses HTTP on port 5001. Do not expose it broadly to the public internet without authentication, monitoring, network controls, and operational safeguards.
Limit SSH access to trusted administrators, apply operating system updates periodically, and monitor EC2 and AWS Marketplace usage for unexpected activity or charges.
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