AMD AMS101 Evaluation Card
The AMD AMS101 Evaluation Card is designed for testing Analog Mixed-Signal (AMS) and Analog-to-Digital Converter (XDAC) technology. It seamlessly integrates with Zynq™ 7000 SoC or 7 Series baseboards, offering a platform for in-depth performance analysis. The card features dual 16-bit DACs for generating test signals and supports the evaluation of dual 12-bit, 17-channel, 1Msps XADC ADCs. It also includes built-in sensors for monitoring internal temperature and power supply voltages, providing comprehensive data for analysis through the free AMS Evaluator tool.
Owner Satisfaction
4.3
/ 5
Category Rank
1182
/ 1541
#1182 in Development Boards
Part Number
101
/ HW-AMS-G
Who it's for
- Direct Hardware Access
- Streamlined Prototyping
- Robust Developer Ecosystem
Who should skip it
- Specialized User Base
- Significant Investment
- Requires Technical Expertise
Key Specs
Part Number
HW-AMS101-G
Compatibility
Zynq 7000 SoC or 7 Series baseboards
Analog Inputs
17 channels (dual 12-bit, 1Msps XADC)
DAC Channels
2 (dual 16-bit)
Integrated Sensors
Internal temperature, internal power supply voltage
Connectivity
BNC connectors for external signal input
Included
AMS101 Evaluation Card, BNC connector pins and mini-grabbers
Features
- Demonstrates AMD's Analog Mixed-Signal (AMS) technology
- Evaluates dual 12-bit, 17-channel, 1Msps XADC ADCs
- Includes dual 16-bit DACs for analog test signals
- Analyzes internal temperature and voltage sensors
- Compatible with Zynq 7000 SoC and 7 Series baseboards
- Provides comprehensive data analysis with the AMS Evaluator tool
- Supports saving analysis data to a .csv file
What customers say
Customers consistently praise the AMD AMS101 Evaluation Card for its exceptional reliability and straightforward integration within specialized development environments. Users frequently note its dependable performance, which streamlines complex project workflows, making it an indispensable asset for engineers. The card's focused design and consistent functionality foster strong confidence, proving its significant value for advanced evaluation tasks and dedicated hardware applications.
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