Keysight Technologies, a leading company in design, emulation, and test solutions for complex electronics systems, has announced a new scale-up validation solution portfolio that targets the most important technical challenges for AI-driven data centers as they continue to scale. This press release from Keysight Technologies illustrates the company’s commitment to the development of high-performance and energy-efficient AI infrastructure that is capable of meeting the requirements of future workloads.
With the growing size and complexity of artificial intelligence workloads, data centers, which are the backbone of AI deployment, are facing growing challenges in terms of bandwidth, latency, and interoperability as compute clusters become more dense and interconnected. The new solutions from Keysight are intended to assist data center operators and solution developers in validating new interconnect and protocol standards at scale and with reduced integration risk and time to deployment.
This launch represents a defining moment in the Data Center sector, where validation, especially of high-speed interconnects and memory protocols, is emerging as a crucial enabler of future-proof, next-generation infrastructure deployment. (For industry context, see Data Center and the industry under Data Center.)
What’s Included in Keysight’s New Scale-Up Validation Portfolio
According to the company’s press release, Keysight’s new suite of scale-up validation tools supports both emerging and established high-speed interconnect standards critical to modern data centers, including:
UALink™ 200G Receiver Conformance Test Software — for validating high-bandwidth networking links.
PCIe® 7.0 Transmitter Test Solution — enabling compliance testing at speeds up to 128 GT/s for next-generation accelerators and network devices.
PCIe 6.0 Protocol Compliance Test Suite — for validating link and transaction layers at speeds up to 64 GT/s.
CXL™ 3 Protocol Exerciser and Analyzer Test — addressing coherent memory pooling across CPUs, GPUs, and accelerators to support disaggregated compute architectures.
PCIe 5.0 Automated Compliance Test — certified by PCI-SIG™ for link and transaction testing of endpoint and retimer devices.
With a set of tools that cover physical, link, and protocol layer testing, Keysight makes it possible for operators to test the performance, power, and interoperability of complex AI systems before deployment. This helps to avoid costly redesigns and reduces the time it takes to deploy high-performance systems.
Why This Matters for the Data Center Industry
The Data Center industry is going through a paradigm shift due to the sudden increase in the adoption of AI. Hyperscale cloud companies, as well as data centers, are investing in hardware that supports AI workloads. These hardware investments include heterogeneous compute clusters with accelerators, high-bandwidth memory, and advanced interconnects.
1. Addressing Bandwidth and Latency Bottlenecks
The processing requirements of AI applications require rapid data transfers between host processors, accelerators, memory resources, and fabric interconnects. With the increasing size of clusters, the traditional methods of validation are finding it increasingly difficult to keep pace, especially when it comes to next-generation interfaces such as PCIe 7.0, CXL 3, and high-speed Ethernet above 200 Gb/s. The new solutions from Keysight will enable engineers to validate these interfaces during the early stages of design.
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2. Enabling Scalable, Energy-Efficient Architectures
Optimization of energy usage and performance is a top priority for data center operators, especially as compute density increases. By validating compliance with high-speed standards and ensuring interoperability across vendors and components, Keysight’s solutions support the deployment of energy-efficient AI fabrics that can deliver higher performance per watt – helping operators control costs and reduce power consumption.
3. De-Risking Complex Deployments
Complex interconnect topologies involving multiple accelerators and memory tiers require rigorous validation frameworks to avoid subtle errors that can impact performance or reliability at scale. Keysight’s suite enables conformance and stress testing across a wide range of configurations, allowing IT teams to catch issues early — a key advantage for operators managing large, distributed data center environments.
Business Impacts Across the Industry
For Hyperscalers and Cloud Providers
Large cloud providers and hyperscalers are racing to deploy AI-optimized infrastructure to maintain competitive advantage. Tools that streamline validation and compliance testing of interconnects give these operators the confidence to scale rapidly while maintaining service reliability and minimizing costly retrofits.
For Network and Hardware Vendors
Companies that supply switches, network adapters, accelerators, and memory modules benefit when interoperability is proven — enabling them to bring products to market faster with certification support. Keysight’s solutions help vendors validate against multiple standards early, reducing the burden of repeated field testing and custom debugging.
For Enterprises Deploying AI Locally
Not all AI workloads reside in giant cloud data centers. Many organizations are setting up on-premises data centers for their sensitive workloads, such as healthcare analytics, financial risk analysis, and industrial automation. Keysight’s scale-up validation solutions assist these organizations in validating that their investments in AI infrastructure are meeting performance, reliability, and interoperability requirements before they are put into production.
Conclusion: Scaling Data Centers for AI
The requirement for AI infrastructure is also expected to see an upward trend in its graph as organizations from different industries adopt machine learning, generative AI, and analytics. While this trend is opening a huge market, it also faces challenges in data center design. Keysight’s offerings have proved that validation is the foundation for the design of a scalable and high-performance data center.
By helping operators and vendors validate AI data center designs earlier and more comprehensively, Keysight is positioning itself as a key partner in the next wave of data center innovation — supporting the deployment of high-density, interoperable, and energy-efficient AI infrastructure.