Discover the core concepts behind UALink 1.0 and how the technology really works. This 1-day class gives you a clear, practical foundation in UALink’s architecture and mechanisms so you’re fully prepared for development.
Get concrete, detailed answers to your questions:
Learn these things and more in Austin Labs UALink 1.0 Fundamentals training. Based on the latest UALink specifications as well as real world test findings from Austin Labs Testing Services, this training covers the UALink protocol specifically for those with little time who need to understand the fundamentals from a high level.
This class is designed for engineering-minded individuals such as test leads, program managers, design engineers, technical/product field support, and storage/system administrators who need the basics behind the 1.0 release.
Insight into the standard based on our real world testing experience
Instruction from experts with over 20 years of experience in storage and networking
UALink establishes a high-performance fabric designed specifically for accelerator-to-accelerator communication. Its structured hierarchy of switches, accelerators, nodes, and pods creates a scalable backbone that delivers massive bandwidth with consistently low latency. The basic encoding of PAM4
The UALink Protocol Level Interface defines how devices exchange data and control information through structured Requests and Responses. This section explains how UPLI organizes traffic and manages flow control.
UALink introduces centralized management through the Pod Controller, which supervises and coordinates up to 1024 accelerators within a single pod. Its security framework, UALinkSec, protects traffic across the fabric and can integrate with platforms that support Confidential Computing.
The UALink Transaction Layer is responsible for transforming UPLI beats into 64-byte TL Flits and reconstructing them on the receive side. It also manages flow control and uses address caching to reduce overhead and improve efficiency across the fabric.
The Data Link Layer aggregates 64-byte TL Flits into 640-byte DL Flits for transport across the physical layer. It also provides a lightweight messaging service between link partners, enabling UART-style communication, pacing, and replay mechanisms for reliable delivery.
The UALink Physical Layer builds on the 802.3 Ethernet PHY, supporting 1, 2, or 4 lanes at 212.5Gbps while adapting the encoding and FEC structures to align with UALink’s 640-byte DL Flit format. This section highlights the PHY-level changes that enable low-latency, high-reliability operation.
This section explores how UALink’s RAS framework detects faults, isolates failing components, and restores normal operation across accelerators and switches.
We test customers’ products quickly and thoroughly in an enterprise environment to ensure that products will survive the rigorous demands of mission-critical applications. Customers come to us for our fast turnaround, superior analysis, excellent results, competitive prices, and, of course, 100% confidentiality. We work hand-in-hand with our customers’ engineers to provide solutions, not just information. We provide not only the results of our tests, but also the debug, analysis, and regression testing that is needed to ensure that the products we test perform as expected—not for our customers, but for your customers.
Austin Labs is the industry leading third-party testing and training facility. With state-of-the-art test facilities located around the world and industry expertise Austin Labs takes advantage of the wide array of Teledyne LeCroy tools for validation testing of products from server/storage to client systems with expertise in PCIe, NVMe, CXL, Ethernet, Fibre Channel, SAS, SATA, USB, Thunderbolt, Bluetooth, WiFi, HDMI, DisplayPort, MiPi C/D-Phy, MiPi M-Phy, and many others.
Our engineers helped develop some of the industry’s key technologies and continue to have a vigorous passion for improving products and sharing their knowledge. This experience and enthusiasm translates into the highest quality testing and training services possible.
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Join us as we explore the evolving demands of AI/ML workloads and the technologies enabling next-generation data center performance.
Join us on December 3, 2025 when we dive deep into the world of Ethernet Layer 1. Whether you’re new to the topic, need a refresher, or are actively designing, validating, or troubleshooting Ethernet networks, this webinar will equip you with the insights and tools you need to succeed.
In this webinar, we will explore the fundamental processes required for Bluetooth Low Energy devices to determine distance measurements between devices.
Part 2 reviews Clarke (aß?) and Park (dq0) transformations, explains motor rotor behavior in a three-phase AC field, and introduces rotor-frame dq0 transformation for real-time control of speed and torque. We’ll show motor and non-motor applications, using an oscilloscope to capture signals and compute key quantities.
Join us as we explore the evolving demands of AI/ML workloads and the technologies enabling next-generation data center performance.
Join us for the second part of our popular webinar series, where we dive deeper into the field of Python scripting and oscilloscope automation. In this session, we’ll focus on extracting parameters directly from the Automation Browser and translating them into functional Python code.
In this webinar, we will explore the fundamental processes required for Bluetooth Low Energy devices to determine distance measurements between devices.
In this session we get specific on how to address real-world probing and connectivity issues that impact DDR3/LPDDR3 and DDR4/LPDDR4 measurement capabilities. We will provide examples of what to do or not do and a pre-compliance test checklist will be reviewed.
Do you struggle to debug PCIe® interactions between protocol and electrical behaviors during link training and data rate changes? Join us to learn advanced debugging techniques that can drastically improve time-to-market.
In this session we demonstrate the utility of DDR eye patterns required for testing and debugging DDR3/LPDDR3 and higher speed DDR4/LPDDR4 signals using real-world DDR debug examples and specialized connectivity examples.
For an S-parameter to be causal, the corresponding impulse response waveform must not exhibit the characteristic of having a response that precedes the impulse. When causality is enforced via the checkbox in the advanced view of the main SPARQ setup dialog, the following analysis is performed:
1) The impulse response for each S-parameter is computed by taking the inverse FFT.
2) When the maximum causality length selected in the GUI = 0, the 2nd half of each impulse response waveform is set to 0. When the maximum causality length > 0, points at times greater than the selected causality length are set to 0, with the requirement that the 2nd half of the impulse response waveform will always be set to 0.
3) The resulting impulse response waveforms are transformed back to the frequency domain, yielding S-parameters that meet the desired causality condition.
Users must make sure that their selections for End Frequency and Num Points result in a delta-frequency value that is small enough to avoid aliasing when converting from the frequency domain to the time domain. This effect is analogous to the aliasing that can occur when undersampling in the time domain when using an oscilloscope. The inverse of the delta-frequency value determines the time length of the impulse response waveform. If this length is less that the electrical length of the DUT, then the user runs the risk of 1) aliasing of the time domain waveform, and 2) excluding features in the impulse response due to the causality enforcement algorithm described above. Both of these effects can result in incorrect S-parameters when causality is enforced. (Also note that the aliasing effect can lead to incorrect time domain results with or without causality enforcement enabled.)
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