VIAVI Launches Industry's First Validation Solution for Ultra Ethernet Transport, Accelerating AI Data Center Deployments

VIAVI (NASDAQ: VIAV) launched what it describes as the industry's first Ultra Ethernet Transport (UET) validation solution for AI fabrics on the VIAVI TestCenter platform.

Rhea-AI Summary

VIAVI (NASDAQ: VIAV) launched what it describes as the industry's first Ultra Ethernet Transport (UET) validation solution for AI fabrics on the VIAVI TestCenter platform. The GPU-free, full-fidelity tool emulates large-scale AI and HPC workloads, enabling hyperscalers, cloud providers and equipment vendors to validate performance, congestion control and load balancing for next-generation AI data center networks.

Argus Jun 23 session

-5.61% close to close Open Argus

Details

News Market Reaction – VIAV

On Jun 23, the day this news came out, VIAV closed 5.61% below the previous close.

Data tracked by StockTitan Argus for the Jun 23 session.

Key Figures

UEC spec version: 1.0

UEC spec version

1.0

Ultra Ethernet Consortium’s UEC 1.0 UET protocol in the Ultra Ethernet Stack

Previous AI Reports

5 past events · Latest: Jun 04

Same Type 5 events

1. Jun 04

   AI workflow launch

   24h Move

   +1.5%

   Launch of NITRO AI Experts to embed AI into wireless test workflows.

2. May 05

   AI appliance launch

   24h Move

   +2.8%

   CyberFlood CF1000 platform for multi‑terabit security and AI data centers.

3. Mar 12

   AI test platform

   24h Move

   -1.1%

   TestCenter D2 1.6T appliance to accelerate AI infrastructure rollouts.

4. Mar 10

   Edge AI sensing

   24h Move

   +1.6%

   Launch of FTH-DAS fiber sensing interrogator with embedded AI/ML at edge.

5. Mar 03

   AI showcase

   24h Move

   -6.5%

   Planned demos of multiple AI fabric and optical test advances at OFC 2026.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

ultra ethernet transport, congestion control, dynamic multipathing, flowlet switching, +1 more

5 terms

ultra ethernet transport technical

"launch of the industry's first Ultra Ethernet Transport (UET) validation solution"

Ultra Ethernet Transport is a high-capacity method for moving large volumes of internet data across networks, combining Ethernet standards with enhanced transmission techniques to carry more traffic farther and faster. Investors should care because it acts like a wider, smoother highway for digital services—supporting higher revenues from bandwidth-hungry customers, lowering per-unit delivery costs, and improving network reliability and scalability, all of which can affect service demand and profit margins.

congestion control technical

"a new UET protocol that delivers advanced congestion control and massive scalability"

Congestion control is a set of techniques used to prevent and reduce overload in data networks by regulating how much information is sent at once so systems don’t get overwhelmed. For investors, it matters because effective congestion control keeps digital services fast and reliable—reducing customer complaints, lowering infrastructure costs, and protecting revenue—much like traffic lights and ramp meters smoothing highway flow to avoid jams.

dynamic multipathing technical

"packet trimming, congestion control and dynamic multipathing."

Dynamic multipathing is a software feature that manages multiple physical connections between a server and its storage so data can travel over the best available route and automatically switch if one route fails. Like having several roads to a warehouse with a traffic-aware GPS to choose the fastest open lane, it reduces the risk of downtime, improves performance and helps companies maintain reliable operations—factors that can affect revenue, costs and investor confidence.

flowlet switching technical

"load-balancing mechanisms across the AI fabric, including ECMP, packet spraying and flowlet switching."

A network technique that breaks a continuous data stream into short bursts called flowlets and sends each burst along the best available path so traffic spreads across the network without scrambling the original order. For investors, it matters because it can cut delays, raise throughput and make cloud, data-center and trading networks more efficient and reliable—similar to routing separate groups of a convoy along different roads so the trip finishes faster without vehicles overtaking one another.

large language model technical

"full-fidelity emulation of AI workloads, such as collective communications (CCL) and large language model (LLM) flows."

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

 GPU-free solution emulates real-world AI workload traffic at scale for faster, more cost-efficient network validation

CHANDLER, Ariz., June 23, 2026 /PRNewswire/ -- VIAVI Solutions Inc. (VIAVI) (NASDAQ: VIAV) today announced the launch of the industry's first Ultra Ethernet Transport (UET) validation solution for AI fabrics, bringing powerful traffic generation and analysis capabilities to hyperscalers, cloud and neocloud providers, as well as network equipment manufacturers across the broader Ultra Ethernet ecosystem.

The new GPU-free, full-fidelity offering for VIAVI TestCenter is designed to accelerate the rollout of next-generation high-speed AI networks through the validation of scale-out and scale-up AI back-end networks using the Ultra Ethernet Consortium's (UEC) Ultra Ethernet Stack.

The Ultra Ethernet Stack is purpose-built for large-scale AI and High-Performance Computing (HPC) workloads, with UEC 1.0 introducing a new UET protocol that delivers advanced congestion control and massive scalability to accelerate multi-vendor adoption of Ethernet as a primary transport for AI fabrics.

VIAVI's UET validation solution enables customers to ensure that their AI fabrics deliver the required performance and resiliency without the cost and complexity of deploying dedicated GPU infrastructure. The solution emulates the transport layer of UET, replicating realistic, stateful AI traffic patterns at scale, including reliable ordered and unordered delivery (ROD/RUD), packet trimming, congestion control and dynamic multipathing. It also supports full-fidelity emulation of AI workloads, such as collective communications (CCL) and large language model (LLM) flows. In addition, the platform enables comprehensive validation of load-balancing mechanisms across the AI fabric, including ECMP, packet spraying and flowlet switching.

"AI clusters will soon scale to millions of endpoints, which means relying on physical GPUs alone to validate network behavior is no longer practical," said Aniket Khosla, Vice President of Product Management, Optical Transport and High-Speed Ethernet, VIAVI. "While Ultra Ethernet delivers high throughput for AI and HPC along with the benefits of standardization, its success depends on rigorous, realistic testing. The launch of this GPU-free, full-fidelity UET validation solution gives customers the confidence to deploy scalable, high-performance AI fabrics faster and more cost-effectively."

"As AI data center fabrics grow in size and complexity, traditional validation approaches struggle to keep pace," said Mahesh Subramaniam, Senior Director of Product Management, AI Data Centers, HPE. "The VIAVI TestCenter platform provides realistic traffic emulation and the granular visibility needed to validate congestion control and transport performance at scale. Through our collaboration, including UET transport validation using the Juniper QFX5240 platform and Junos Evolved with advanced software features such as packet trimming, we are demonstrating how advanced switching and realistic traffic testing enable faster deployment and reliable scaling of Ultra Ethernet in next-generation AI networks."

About VIAVI
VIAVI (NASDAQ: VIAV) is a global leader in test and measurement and optical technologies. Our test, monitoring, assurance, and resilient position, navigation and timing solutions enable and secure critical infrastructure ranging from data center ecosystems and communication networks to military, aerospace, railway and first responder communications. In addition, we develop and advance technologies used in high-volume optical applications across anti-counterfeiting, consumer electronics, aerospace, industrial and automotive end markets.

Learn more about VIAVI at www.viavisolutions.com. Follow us on VIAVI Perspectives, LinkedIn and YouTube.

Media Inquiries:
Grand Bridges
Emma Jenkins
emma@grandbridges.com
+1 415 800 4529

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/viavi-launches-industrys-first-validation-solution-for-ultra-ethernet-transport-accelerating-ai-data-center-deployments-302806300.html

SOURCE VIAVI Solutions

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did VIAVI (NASDAQ: VIAV) announce on June 23, 2026 about Ultra Ethernet Transport?

VIAVI announced a new Ultra Ethernet Transport (UET) validation solution for AI fabrics on its TestCenter platform. According to VIAVI, this GPU-free tool emulates large-scale AI workloads to validate performance, resiliency, congestion control and load balancing in next-generation AI and HPC networks.

How does VIAVI's GPU-free UET validation solution benefit AI data center operators and VIAV investors?

The solution lets AI data center operators validate networks without deploying physical GPU infrastructure for traffic testing. According to VIAVI, it emulates realistic, stateful AI traffic patterns at scale, potentially reducing validation cost and complexity while supporting faster rollout of high-speed AI fabrics.

What AI workloads can VIAVI's new UET validation solution for VIAV emulate?

The UET validation solution can emulate collective communications and large language model flows along with UET transport behavior. According to VIAVI, it supports reliable ordered and unordered delivery, packet trimming, congestion control, dynamic multipathing and validation of load-balancing methods like ECMP and packet spraying.

Who are the primary users targeted by VIAVI's Ultra Ethernet Transport validation solution (VIAV)?

The solution is aimed at hyperscalers, cloud and neocloud providers, and network equipment manufacturers. According to VIAVI, these users can emulate real-world AI fabrics at scale, helping ensure performance and resiliency for Ultra Ethernet-based AI and HPC back-end networks before large deployments.

How does VIAVI TestCenter support Ultra Ethernet validation for next-generation AI networks?

VIAVI TestCenter hosts the new Ultra Ethernet Transport validation capabilities for large-scale AI fabrics. According to VIAVI, the platform generates full-fidelity AI traffic, validates congestion control and transport performance, and analyzes load-balancing mechanisms to help organizations deploy scalable Ultra Ethernet AI data center networks.