Key Features

Vollo Trees 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

Key characteristics of Vollo Trees are:

• Low latency inference decision tree models, typically between 1.9-2.4μs.
• High density processing in a 1U server form factor suitable for co-located server deployment.
• Compiles decision tree models for use on the accelerator.