MAU Accelerator

Myrtle.ai

  • Alliance Member
  • Application Partner

Product Description

The MAU Accelerator achieves both deterministic low tail latency and high throughput, without trading off one against the other. This enables the use of higher quality models in a given latency and significant savings in infrastructure costs and energy consumption. The MAU Accelerator runs on the Alveo U250 and supports an industry-standard ONNX-based development flow enabling neural network models developed using standard frameworks such as TensorFlow, PyTorch or MXnet to be deployed easily on it. Designed for applications including: Speech Transcription Natural Language Processing Speech Synthesis Time Series Analysis Payment & Trading Fraud Detection Recommendation Systems


Key Features and Benefits

  • Deterministic low tail latency
  • Improved latency-bounded throughput
  • Reduced infrastructure costs
  • Enables use of higher quality models under a given latency bound
  • Reduced energy consumption

On-Premises Solution

  • Alveo U250

Supported Workloads

  • Machine Learning