Key Features

Vollo accelerates machine learning inference for low latency streaming models typically found in financial trading or fraud detection systems such as:

• Market predictions
• Risk analysis
• Anomaly detection
• Portfolio optimisation

Vollo is able to process of range of models, including models which maintain state while streaming such as convolutional models.

Key characteristics of Vollo are:

• Low latency inference of machine learning models, typically between 5-10μs.
• High accuracy inference through use of Brain Floating Point 16 (bfloat16) numerical format.
• High density processing in a 1U server form factor suitable for co-located server deployment.
• Compiles a range of PyTorch models for use on the accelerator.