Connect. Secure. Manage.
AI Network Performance Validation
Measure the performance of an agreed Cisco AI network design with representative traffic, recording bottlenecks and clear acceptance evidence.
Devices supported
across the UK
Client locations
supported
Traffic handled
at peak time
Average
response time
Average response is not a resolution time or a contractual guarantee. Support scope and response commitments are agreed for each engagement.
AI network performance validation checks whether the network can support the work your AI platform needs to do. We agree tests with the compute, storage and app owners, then link results to that work. The evidence helps you accept the network, fix gaps and judge when more capacity will be needed.
Workload-led design
Start with application, compute and storage dependencies rather than the switch model.
Clear failure domains
Understand which links, devices and sites can fail together.
Operational clarity
Make fabrics, external routing and management responsibilities supportable.
Agree what success means
The first step is to define the service aim. A project may care about job completion time, inference response, checkpoint duration or throughput between particular nodes. These outcomes have different dependencies, and a single bandwidth result cannot represent them all. We check which measures belong to networking and which require evidence from another platform component.
Acceptance criteria must be agreed before testing. They describe the workload, concurrency, topology and failure conditions under which results are expected. Where the project has no defensible target, we establish a baseline and compare alternatives instead of inventing a threshold that makes the installed equipment appear successful.
Standards & partnerships
Confidence in the team behind your network.
Cisco Partner
Cisco Meraki
Cyber Essentials
Cyber Essentials PlusMCI Network Services is operated by Proxar Ltd. Certifications apply to the certified legal entity and the scope of its certificates. View accreditation information
Verify the environment before measuring it
We record switch models, software, endpoint adapters, drivers, optics and relevant setup. Physical errors, incorrect negotiation or an MTU mismatch can invalidate a performance exercise before the workload begins. These checks are separated from load testing so obvious setup faults are corrected without confusing the interpretation of later results.
The test setup must also be representative. A lab with fewer endpoints or a different traffic distribution may answer a narrow design question. But it cannot prove the behaviour of the eventual production cluster. We state those limits and identify which findings need confirmation after rollout.
A useful starting point
Tell us what is happening.
A short description of the problem is enough for an initial discussion.
Build a useful range of tests
We start with controlled network access and transfer tests, then introduce the concurrency and traffic mix relevant to the app. Where appropriate, this includes storage access, inter-node communication and simultaneous management activity. The sequence helps distinguish a basic path limitation from congestion that appears only when several workloads compete.
Tests should exercise more than a single favourable pair of endpoints. We select locations that reveal different rack paths and shared resources. The resulting coverage map explains which parts of the fabric were observed and avoids presenting a small sample as proof that every possible communication pattern has been tested.
Different environments. The same care.
Built around the work
your network supports.
Finance, banking and the wider private sector. We start with the systems and people that depend on your connections.
Finance & banking
Market-data paths, routing and provider coordination on clients’ behalf.
Financial-market services ↗Offices & multi-site teams
Reliable access between people, workplaces and business applications.
Office network design ↗Data centres & cloud
Network boundaries, workload connections and operational ownership.
Data centre networks ↗Correlate network and application evidence
Cisco interface counters, queue information, path usage and supported congestion telemetry are collected alongside endpoint and app records. Time alignment matters because a brief event may affect a job long before an operator looks at a dashboard. We agree the sampling interval and retention needed for meaningful correlation.
The analysis avoids treating correlation as automatic proof of cause. A job slowing during a network event warrants investigation, but storage, compute and scheduling activity may also have changed. Findings distinguish observed facts, supported explanations and hypotheses that still need another controlled test.
Exercise degraded conditions safely
Where resilience is an acceptance need, we agree chosen link or device failures with the service owners. The test measures both recovery and the performance of the surviving paths. A fabric can maintain network access while losing enough capacity to make important workloads impractical.
Restoration is tested as carefully as failure. Returning a path may change traffic distribution or coincide with app recovery. Safety limits, stop conditions and rollback duties are documented before the exercise. Untested scenarios remain clearly untested rather than being inferred from the presence of redundant hardware.
Investigate findings without chasing headline numbers
When results fall short, we identify the limiting resource and the evidence supporting that conclusion. Corrective work may involve cabling, topology, queue policy, endpoint settings or workload placement. It may also reveal that the original need needs a commercial or architectural decision rather than another setup adjustment.
We repeat relevant tests after a change using comparable conditions. The report records improvements and regressions, not only the best observed figure. This makes the results useful for the customer and avoids an acceptance process that selects favourable runs while disregarding inconsistent behaviour.
Leave an evidence pack the team can reuse
Deliverables can include the test plan, setup baseline, measurement records, results, limitations and a prioritised remediation list. We explain which tests should be rerun when new nodes, software or workloads are introduced. The operations team receives practical signals for identifying when the setup has moved beyond its checked conditions.
MCI can check a new Cisco AI Ethernet fabric or investigate a current platform. The engagement is scoped around measurable questions and authorised testing. It does not certify every future model or workload. It establishes what the network has shown under the conditions your business actually needs to understand.
Talk to a specialist
Need a specialist view?
Tell us what is affected, what changed and what your team has already checked. A short outline is enough to start.
+44 203 196 6566Choose option 1
sales@proxar.co.ukUK-wide service.
Most of our engineers are based in Kent, with a focus on London, Sussex, Essex and Berkshire.
Existing customers should use their agreed support and escalation channels. This form is for service enquiries, not a monitored emergency ticket.
Tell us what you need.
A short outline is enough. Please do not include passwords or sensitive network details.
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