Military Application Resilience
Emulating real-world network conditions to verify applications & systems
Ignite 400G
Designed for AI backend and data center interconnect environments, Ignite 400G helps validate RoCE transport, congestion control, PFC tuning, and workload resilience across both scale-out clusters and long-distance scale-across architectures.
- 400G full line-rate validation for AI and HPC traffic
- Designed for RoCE and RDMA environments
- PFC transparency for lossless Ethernet testing
- PFC tuning for DCI and scale-across AI clusters
- Controlled impairment testing
- Realistic AI cluster behaviour in the lab
AI Infrastructure Validation Under Realistic Network Conditions
AI fabrics behave differently from traditional enterprise or telecom networks. GPU and xPU workloads can create intense, synchronized bursts, while RDMA transport places strict requirements on latency, ordering, congestion response, and packet delivery. Even small amounts of packet loss, delay variation, or poor congestion control can affect job completion time, fabric utilization, and overall workload efficiency.
Ignite 400G enables engineers to introduce controlled network realism into AI infrastructure validation. By applying precise and repeatable impairments to live AI traffic paths, teams can recreate adverse production-like conditiona in the lab and reveal the subtle network behaviors that can break workload efficiency.
PFC and congestion control testing
DCQCN, implemented on the endpoints, together with PFC and ECN implemented in the switches, is central to maintaining high utilization and predictable behavior in best-effort, potentially lossy Ethernet fabrics. When configured correctly, these mechanisms help reduce congestion, protect no-drop traffic classes, and support efficient end-to-end throughput.
Ignite 400G allows engineers to test PFC, ECN, and DCQCN behavior under repeatable lab conditions. Because the solution is designed not to terminate PFC frames, engineers can validate XON/XOFF thresholds, pause duration, and buffer management behavior across emulated distances.
RDMA and RoCE protocol validation
RDMA is designed for high efficiency and low overhead, but it depends on a highly reliable transport. In RoCEv2 environments, engineers must validate congestion control, timeout behavior, retransmission handling, and recovery mechanisms before moving to full application-level AI testing.
Ignite 400G enables RDMA traffic to be tested at 400GbE with 100% throughput and zero loss. By understanding RDMA semantics and RoCE headers, the solution allows the protocol to be evaluated end to end under controlled network conditions.
Ultra Ethernet testing
Ultra Ethernet introduces new mechanisms for improving Ethernet performance, reliability, and efficiency in AI and HPC environments. These mechanisms must be validated against specifications and expected behavior before deployment, particularly where interoperability between endpoints, switches, and fabrics is required.
Ignite 400G provides controlled impairment capabilities that help engineers validate Ultra Ethernet mechanisms under realistic adverse conditions.
Ignite 400G introduces precise network impairments into AI traffic
- Delay – Recreate latency and distance-related network conditions in the lab
- Loss – Test how AI and RDMA traffic responds to lost or dropped packets
- Jitter – Emulate delay variation to validate performance under inconsistent network timing
- Corruption – Inject packet errors to test protocol resilience and recovery
- Duplication – Recreate duplicated packet conditions to validate traffic handling
- Drop – Remove selected packets to test recovery, timeout response and workload resilience
Supporting impairment emulation in the high speed world
Applications suited to testing with Ignite 400G
Powerful additions for your testing strategy
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