Keysight has introduced two 1.6T Ethernet test platforms for validating data-centre networks, including AI infrastructure. The practical draw is an unusually dense test setup: its AresONE Plus 1600GE puts eight 1.6T ports in a 2U appliance and can emulate AI workloads.
Watch Desk analysis
What happened
The two platforms are the AresONE Plus 1600GE and SERT 1600GE. The SERT is aimed at testing data-centre switch fabrics and edge routers; the AresONE Plus adds AI workload emulation and high-density fabric testing.
The AresONE Plus can generate 12.8 terabits per second of line-rate traffic across its eight ports. It also supports flexible port breakouts, from one 1.6T connection to eight 200G connections. Both platforms support routing and network validation features including BGP, ECMP, VXLAN and SONiC. The AresONE Plus adds mix-of-experts workload emulation and support for RoCEv2, congestion controls and Ultra Ethernet Consortium technologies. The Fast Mode reported the launch on 15 October.
Why it matters
AI clusters depend on fast, predictable connections between their computing systems. These platforms let engineering teams put network equipment through high-throughput and AI-shaped traffic tests before deployment, where congestion or interoperability problems are much cheaper to find than in a live data centre.
The AresONE Plus can also switch between eight-port testing and a four-port mode for AI benchmarking. That gives teams one appliance for more than one stage of testing, rather than requiring separate kit for every job.
Our read
The useful part is not the impressive-sounding 1.6T label on its own. It is the combination of dense traffic generation, network-protocol testing and AI workload emulation in a single platform. That makes the launch relevant to the people trying to prove an AI network will behave under pressure, not just to those buying the servers.
What to watch
- Whether customers adopt the platforms for qualification of next-generation AI data-centre networks.
- How the tools perform in real-world testing of congestion and interoperability.
- Whether 1.6T networking becomes a common validation target as AI clusters scale.
Discussion spark: Should AI data-centre operators have to demonstrate that their networks can handle realistic AI workloads before deploying them, or is that a burden best left to equipment makers?
Sources and evidence
- Keysight Launches 1.6T Ethernet Test Platforms for AI Data Centers (15 October 2026, 22:37 UTC)
- Huawei Advances 800G to 2T Capacity for AI Data Center Interconnection (15 October 2026, 22:37 UTC)
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