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High-density traffic emulation network validation at scale
Keysight ultra-high-density traffic emulator platforms deliver purpose-built Ethernet validation at scale, supporting up to 32 ports of 100GE traffic generation or 16 ports of 400GE generation. Designed for space-constrained, high-capacity environments, they combine Layer 1 to 3 traffic emulation, per-port statistics, and automation-ready APIs to accelerate system verification. Whether validating open networking devices or large-scale data center networks, these solutions enable precise and repeatable testing in fast-evolving network deployments. Choose a model based on the number of ports, interface speed, and interface type you need. Need help selecting? Check out the resources below.
Compact port design
Maximize rack efficiency with 32×100GE in 1U, 16×400GE in 2U, or 12x100GE in a fixed chassis for a dense, power-efficient test setup.
Independent control
Separate control and test planes to simplify automation, reduce host system load, and streamline scaling in large-scale test environments.
High-density emulation
Deliver full line-rate traffic across 100GE and 400GE ports, enabling high-density testing of open-networking and large-scale networks.
Network timing accuracy
Measure network latency precisely under load with nanosecond accuracy and hardware-level compensation for reliable timing analysis.
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Ports
12 to 32
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Interface speed modes
10GE, 25GE, 40GE, 50GE, 100GE, 200GE, 400GE
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Interface
QSFP-DD, QSFP28
Most popular configurations
UHD100T32 Ultra-High-Density 32-Port Network Infrastructure Test System
UHD400T Ultra-high Density Network Infrastructure Test System
Switch and Edge Router Tester 100GE
Services and support
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Ensure your test system performs to specification and meets local and global standards.
Make measurements quickly with in-house, instructor-led training, and eLearning.
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Frequently asked questions
Efficient Ethernet validation in space- and power-constrained labs requires high-density traffic generation platforms. Test systems with 32×100GE in 1U or 16×400GE in 2U provide full line-rate performance without compromising on scale. These compact, rack-optimized solutions are ideal for validating high-performance switches, routers, and AI interconnects in hyperscale data centers and cloud infrastructure environments. By maximizing port density and minimizing footprint, engineers can execute full-speed 100GE and 400GE testing at scale while maintaining efficient use of lab resources. This is especially important for validating modern network equipment in environments with aggressive space, power, and throughput requirements.
Disaggregated test architectures, where control and traffic generation are separated, enable scalable, automation-ready Ethernet testing across hyperscale and AI-driven network validation workflows. Offloading traffic generation from the host system reduces CPU load, improves script performance, and increases stability in multi-device, multi-chassis environments. This architecture supports fast, repeatable validation of 100GE and 400GE devices across cloud-scale infrastructures. Whether used in regression testing or production burn-in, separating test control from data path ensures more reliable execution of complex, high-density network test scenarios. For modern labs validating Ethernet performance at terabit speeds, a disaggregated setup improves throughput, simplifies orchestration, and accelerates deployment cycles.
High-density Ethernet test platforms support a broad range of network validation applications, including spine-leaf topologies, fan-out emulation, and open-networking environments. These platforms are purpose-built for testing switches, routers, and AI fabrics across Layer 1–3 using realistic, stateless traffic profiles. Use cases span cloud infrastructure testing, multi-host connectivity, disaggregated network architecture validation, and interoperability testing for 100GE and 400GE ports. With automation-ready APIs, per-port traffic control, and rich telemetry, these test systems help accelerate validation cycles in hyperscale data centers, telecom labs, and AI training facilities. Their scalability and flexibility make them ideal for modern high-performance network validation workflows.