Performance Acceleration Hardware for Inference Engines

  Enquiry / contact me

To configure real-time machine-learning inference

Electronics & Electricity, Industry 4.0

Performance Acceleration Hardware for Inference Engines
Performance Acceleration Hardware for Inference Engines

FPGA (Field Programmable Gate Array) by Xilinx is made to configure real-time machine-learning inference. Also known to provide performance acceleration and future flexibility for machine-learning practitioners, it allows to build high performing and inference engines for immediate deployment. It is adaptable for the rapid changes in technology and market demands for machine learning and flexible to adapt in workloads. Real-time Machine-Learning Inference is a new service that leverages natural voice interaction and image recognition to deliver seamless social media or call-center experiences. With an ability to identify patterns in vast quantities of data related many of variables, it is mostly used for deterministic throughput and low latency, achieved simultaneously with practicable size and power constraints to move data efficiently in and out.

Includes flexible memory hierarchy and adaptable high-bandwidth features

Adaptable and flexible, FPGA integrates optimized compute tiles, distributed local memory, non-blocking shared interconnects and a GPU-based engine with rigid interconnect structures. Used to execute real-time calculations, with low latency with a foundation to build a Deep Learning Processor for image recognition and analysis, it is capable to establish hardware architecture to accelerate AI workloads. Moreover, an ecosystem of resources has been established to accelerate AI workloads in the Cloud or at the edge. Among the available tools, ML-suite takes care of compiling the neural network to run in Xilinx FPGA hardware, the neutral networks generated by common machine-learning frameworks including TensorFlow, Caffe, MxNet and others. It also includes a Python API for easy interaction with ML-Suite, and contains a quantizer tool that convers it to a fixed-point equivalent, part of a set of middleware, compilation and optimization tools, and a runtime (xfDNN) ensuring the neutral network for the best performance possible. 

Posted on July 9, 2019 - (291 views)
Xilinx Europe
One Logic Drive Citywest Business Campus
Saggart, County Dublin - Ireland
+353-1-464-0311
+353-1-464-0324
View full company profile
Location
More products from this supplier
Subaru Selects Xilinx to Power New-generation EyeSight System
The Power of Artificial Intelligence in Healthcare
Virtual Round Table - Business Transformation in Critical Times: Xilinx
FPGAs for Vital Patient Monitoring
What’s in the Future of Robotics?
When Machine Learning Meets the Real World
All Programmable Multi-Processor SoC
ASIC Architectural Enhancements
Related articles
Harwin's Archer Kontrol Connectors - at TTI Europe
OPC Foundation Welcomes Emerson to Its Board of Directors
Pepperl+Fuchs Becomes a Founding Member of the Industrial Digital Twin Association (IDTA)
Migrating to Smart Factories: A Key to Surviving and Thriving
Frequency Converters for Space Applications
Predictive Maintenance: Why is the Market Growing Now?
Condition Monitoring System
Taking Control of Plant Data with PlantSight Digital Twins
Building Continuity Across Products, Processes, and People
Molex Brad M12 and M8 Connectors available at TTI
Mouser's Digital AI Conference is now Available On-Demand
1 to 3 Watts "Low-cost" DC-DC Converters
Post-Corona Recovery: High demand for “Robotics Skills”
Ultra-low Power Radio Module
Protect Machines Using Sound, IoT and AI
Autonomous Transport System
Configurable Display Switch
Permanent Magnet Synchronous Reluctance Motor
Easy-to-use Security Routers and Firewall
Flexibly Scalable Edge Cloud Data Center