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Keysight IxNetwork software delivers comprehensive Layer 2 and Layer 3 network validation across physical, virtual, and cloud environments. It scales to hyperscale traffic levels with protocol-accurate emulation, including software-defined networking (SDN), virtual private networking (VPN), RoCEv2, and broadband services, supporting full line-rate encrypted and lossless AI network testing. Designed for next-generation data centers, IxNetwork enables lossless RDMA verification, supports MACsec with dynamic key rotation, and emulates congestion control for testing AI training and inference workloads. Python and REST APIs across hardware and virtual editions streamline CI / CD test automation. Request a quote for the license you need based on protocol support and subscription type. Need help selecting? Check out the resources below.
Emulate millions of flows and routes across physical chassis, virtual machines, and cloud platforms at full line rate to support large-scale, high-throughput testing.
Generate realistic Layer 2 to 3 network traffic, including encrypted VPNs, SDN, RoCEv2, congestion management, and AI workload patterns.
Validate lossless data center networks with zero-packet-loss RDMA, MACsec encryption, dynamic key rotation, and AI workload congestion scenarios.
Leverage consistent APIs and user interfaces for automated test execution across hardware and virtual environments, accelerating CI / CD workflows.
Protocol support
IPv4/IPv6 routing, Switching (layer 2), MPLS, Multicast VPN, Carrier Ethernet, Data center Ethernet, Broadband / authentication, SDN, Encryption, AVB, TSN, VPN, RDMA, RoCEv2, IxNetwork Base, BGP/BGP+, ISISv4/v6, OSPFv2/v3, RIP/RIPng, MPLS LDP/RSVP-TE, IGMP/MLD/PIM, RFC 2544/2889/3918 QuickTest
License types
Perpetual, Subscription - 1 year
Technology
Network Infrastructure, Virtualization, Cloud, AI/ML
License options
Perpetual, Subscription - 1 year, 1G - Tier 1, 1G - Tier 2, 1G - Tier 3, 1G - Tier 0, 100G - Tier 0, 100G - Tier 1, 100G - Tier 2, 100G - Tier 3, 10G - Tier 3
930-3500
IxNetwork Volume SW Package Tier 1; supports IxNetwork IPv4/IPv6 Unicast/Multicast Routing Protocols, Switching (Layer 2 Protocols), and MPLS VPN protocols.
930-3502
IxNetwork Volume Software Package Tier 3; supports IxNetwork IPv4/IPv6 Routing Protocols, Switching (Layer 2 Protocols), MPLS Protocols, Multicast VPN Protocols, Carrier Ethernet Protocols, Data Center Ethernet Protocols, and Broadband/Authentication protocols.
930-2220
IxNetwork, node-locked perpetual license; all inclusive package for Novus ONE PLUS; supports all IxNetwork software features with exclusion.
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To validate large-scale network infrastructures, it’s essential to emulate millions of network flows and routing paths seamlessly across physical chassis, virtual machines, and cloud platforms. This approach supports full line-rate throughput testing of Layer 2 and Layer 3 protocols, ensuring realistic simulation of complex topologies, VPNs, and software-defined networks (SDN). Using scalable emulation across diverse environments helps identify performance bottlenecks, protocol interoperability issues, and security vulnerabilities early, which accelerates development and deployment of robust, high-performance data center and AI fabrics.
Accurate emulation of AI data center traffic includes Layer 2–3 protocols, VPNs, broadband services, SDN control traffic, and RDMA over Converged Ethernet version 2 (RoCEv2). Including congestion control protocols and encrypted traffic like MACsec is vital to replicate real-world AI training and inference workloads. Testing these protocols under realistic network conditions helps ensure lossless data delivery, network security, and optimized throughput in AI fabrics, enabling robust validation of high-performance computing and hyperscale cloud infrastructure.
Tailored AI fabric testing focuses on critical aspects like secure and lossless Ethernet infrastructure, dynamic MACsec key rotation, and zero-packet-loss RDMA performance. Emulating AI training and inference workloads enables network engineers to validate the reliability and security of high-throughput data flows between GPUs, accelerators, and switches. This specialized testing reduces the risk of data loss or security breaches in AI clusters, ensuring consistent, low-latency communication required for large-scale AI and machine learning deployments.
Realistic traffic emulation replicates diverse, multi-service network conditions, including encrypted VPN traffic, broadband applications, and SDN signaling. This approach ensures tests reflect actual usage patterns and protocol interactions under varying load and congestion scenarios. Accurately modeling these traffic types enables identification of performance bottlenecks, latency issues, and packet loss, providing deeper insight into network behavior. Consequently, network engineers can optimize configurations and validate compliance with service-level agreements (SLAs) to ensure consistent user experience and high network availability.