AI Compute Validation Solutions
New compliance automation software for emerging PCIe® 7.0, GDDR7, and UALink standards supports reliable AI infrastructure scale-up.
High-Performance BERTs:
Receiver Reliability Testing
Utilize test automation software to quantify bit error rate and verify reliable operation of high-speed interfaces before deployment.
Pro Oscilloscopes:
Precise Transmitter Validation
Pair with automation software to enable repeatable margin analysis and compliance validation across compute, memory, and fabric interfaces.
The Challenge of Scaling AI Compute
As AI infrastructure scales, PCIe, DDR, UALink, and other high-speed interfaces must move growing volumes of data with less margin for error.
See how rising data rates and more complex compliance requirements are impacting validation, and how automated workflows can deliver clearer signal insight, earlier issue detection, and greater confidence in real-world interoperability.
AI Compute Insider Series
Join us for a three-part webinar series to explore the technologies driving scale-up of AI compute and learn how to validate them with confidence.
- Session 1: Exploring the Technologies Driving AI Compute Forward
Examine the market forces and technologies behind AI scale-up and the interoperability, signal integrity, and validation challenges ahead. - Session 2: Decoding Emerging AI Compute, Memory, and Fabric Standards
Gain insight into the latest standards and how they are reshaping compliance requirements and validation workflows. - Session 3: Validating PCIe, Memory, and Scale-Up Fabric Interfaces in Practice
Learn practical approaches for validating PCIe, DDR, and fabric technologies through compliance testing, signal analysis, and debug techniques.
Register now for Session 1.
October 22
November 20
October 27
December 2
November 5
December 29
Explore Use Cases
Combine a Pro oscilloscope or high-performance BERT with automated compliance software to validate AI interfaces across next-generation standards.
Scaling AI Compute with Evolving I/O, Memory, and Fabric Interfaces
AI infrastructure performance depends on seamless data movement across compute, memory, and accelerator fabrics. Technologies such as PCIe 7.0, DDR6, GDDR7, Ethernet, and UALink are evolving to meet critical bandwidth and latency demands, but they introduce new interoperability requirements.
Learn where these technologies fit within AI compute infrastructure and what it takes to overcome the validation challenges they create.
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PCIe® and the PCI Express® are US registered trademarks and/or service marks of PCI-SIG.