The Intelligent Voice system is a batch processing system designed to process hours of audio recordings as efficiently as possible.  We also offer systems designed for real-time transcription, low latency key word spotting, IoT devices and embedded applications and more - for details on running these solutions on AWS please contact us.

Minimum requirements

A basic installation of Intelligent Voice with GPU acceleration on AWS requires an instance with 16GB RAM and 4CPUs.  At time of writing, all P2 and P3 instances types meet these requirements.  Intelligent Voice also offers pre-built AMIs which will run on any P2 or P3 instance - please contact us for details.

The minimum storage requirements are for an EBS volume of 50GB.  This will need to be increased if more than 100 hours of audio data is processed.  The system can also be configured to use S3 for audio data.

A single GPU instance is suitable for evaluation of the Intelligent Voice system and performance benchmarks, and for batch processing of small-to-medium audio data sets.

Low volume batch processing

To provide the lowest cost per audio hour, we recommend that Intelligent Voice is installed as a minimal auto-scaling solution.  This would comprise at least:

• 1 application server, online whenever the API or review platform are required
• 1 or more processing nodes (GPU optional), online only when processing new data

The minimum requirements for an application server are 8GB RAM and 2 CPUS.  Low cost instances types such as t2.large or m5.large are suitable for this.  The minimum storage requirements are for an EBS volume of 50GB.

The minimum requirements for a processing node without a GPU are 8GB RAM and 4 CPUs.  c5.xlarge is a suitable instance type for this.  The minimum storage requirements are for an EBS volume of 30GB.

The minimum requirement for a processing node with a GPU is a P2 or P3 instance type.   The minimum storage requirements are for an EBS volume of 30GB.

Typically processing batches of audio under 4 hours in total size will be cheaper without a GPU.  Batches over 4 hours will be cheaper with a GPU, and much faster.

High volume batch processing

More details to follow - please contact us for information