Shorten time to market while minimizing the risk of redesign. Manage rising design complexity and control high prototyping costs with efficient high-performance simulation tools.
Set up complex signals with the speed, bandwidth, precision, and flexibility to meet the challenges of next-generation AI data center deployments.
Accelerate generation of PCIe algorithmic modeling interfaces for transmitters and receivers.
Accelerate time-to-market with automated transmitter compliance testing and in-depth design validation, ensuring your hardware fully conforms to PCI-SIG standards.
Accelerate time-to-market with automated receiver compliance testing and in-depth design validation, ensuring your hardware fully conforms to PCI-SIG standards.
Accelerate PCIe and CXL design validation and debug with deep protocol insight, faster root-cause analysis, and confidence across every stage of development.
PCIe 6.0 introduced PAM4 signaling and FLIT-based (Flow Control Unit) encoding, creating new challenges for transmitter analysis, receiver calibration, equalization, and protocol debug.
PCIe 7.0 doubles throughput again to 128 GT/s, supporting next-generation AI accelerators, data center infrastructure, and high-performance computing systems. Validation helps ensure interoperability and system reliability at these extreme speeds
By using a complete test workflow spanning simulation, characterization, protocol analysis, compliance testing, and receiver validation from a single vendor environment.
CXL is an open interconnect technology built on the PCIe physical layer that enables coherent communication between CPUs, accelerators, memory devices, GPUs, and other system components.
CXL uses the same physical connector and electrical interface as PCIe. During link initialization, devices can negotiate whether to operate in PCIe mode or CXL mode.
Although CXL shares the PCIe physical layer, it introduces new protocols, coherency mechanisms, memory semantics, and fabric architectures that require specialized validation and debug capabilities.
Key challenges include:
Memory pooling allows multiple hosts or accelerators to share memory resources dynamically, improving utilization and scalability in AI and cloud data center environments.
CXL enables memory expansion, memory sharing, and disaggregated architectures that help address growing memory and bandwidth demands for AI training and inference workloads.
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Yes. Keysight provides integrated protocol analyzers, exercisers, software, and physical-layer test solutions that help engineers validate PCIe and CXL designs throughout the development lifecycle.
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