Skip to content
Plan & Buy

Plan the next move
for your infrastructure

From technical evaluation to deployment planning, find the evidence, guidance, and Cornelis connection you need for your AI, HPC, or converged environment.

  • Start your evaluation Arrow - Right
  • Contact Us Arrow - Right
  • Choose your path

    What decision are you making?

    Choose the path that matches the work in front of you. Whether you are evaluating technical fit, designing an environment, building the business case, or preparing for deployment, Cornelis can help you move from requirements to action.

    01/ 04

    Evaluate
    and validate

    Build a technical view of performance, fit, integration, and readiness.

    01Start your evaluation Build an evaluation around your workload, current environment, performance baseline, and target architecture.
    02Technical evaluation kit Use a structured framework to evaluate technical fit, architecture, performance, software, integration, and deployment readiness. The Tech Eval kit provides a practical starting point for teams that need to compare requirements, identify key technical questions, and prepare for a deeper evaluation.
    03Talk to a performance expert Review performance evidence in the context of your workload and environment. Discuss message rates, latency, collective communication, congestion behavior, application performance, benchmark methodology, and baseline comparison with a Cornelis performance expert.
    04Technical downloads Access selected technical material for the Plan & Buy phase, including evaluation, architecture, performance, integration, and deployment assets.
    05Technical training Prepare architects, operators, and engineering teams. for evaluation, deployment, management, monitoring, and performance validation. Training topics may include architecture, topology, software, management, monitoring, troubleshooting, operational readiness, and migration planning.
    02/ 04

    Design
    and expand
    the environment

    Turn workload requirements into a practical cluster, datacenter, or integration plan.

    01Departmental Cluster Planning Create a right-sized initial environment with a practical path to future growth. Planning can address workload requirements, node count, fabric capacity, storage and management connectivity, rack and power constraints, cooling, cabling, software, budget, and deployment phases.
    02Schedule a design session Work through topology, workload behavior, product fit, integration, cooling, cabling, and deployment sequencing with Cornelis specialists. Bring your current architecture, target environment, workload mix, scale requirements, and performance objectives to a focused working session.
    03Request a Networkonomics assessment Connect fabric behavior to utilization, application performance, time to solution, capacity, and infrastructure economics. A Networkonomics assessment can help evaluate the relationship between network performance, workload results, accelerator utilization, power and cooling, and long-term infrastructure value.
    04Add Cornelis to an existing HPC cluster Evaluate how Cornelis can fit into an established HPC environment. Review existing hosts, adapters, fabrics, topology, software, storage, migration requirements, operating processes, expansion plans, and performance validation.
    05Add Cornelis to an AI Data Center Plan the infrastructure around AI training, AI inference, distributed serving, accelerator communication, scale, and operational requirements. Planning can include architecture, topology, software, management, interoperability, cooling, cabling, rack and power constraints, capacity planning, and deployment sequencing.
    03/ 04

    Build the
    business and
    procurement
    case

    Give technical, executive, finance, procurement, and operations stakeholders a shared basis for action.

    01Request an Exec briefing Give decision makers a concise view of the performance, economic, operational, and lifecycle implications of the infrastructure decision. An executive briefing can address workload requirements, application performance, network efficiency, architecture choices, operational fit, procurement considerations, partner support, and recommended next steps.
    02RFI/RFP toolkit Use a structured checklist to compare infrastructure options consistently. The toolkit can help technical and procurement teams evaluate bandwidth, message rates, latency, congestion handling, adaptive routing, collective communication, scale, hardware, software, management, interoperability, cooling, cabling, support, migration, expansion, benchmark methodology, availability, and lifecycle requirements.
    03Share with your buyer Give stakeholders a concise, buyer-ready explanation of the technical and business case. Help your buying group understand why network efficiency affects application performance, infrastructure economics, utilization, time to solution, architecture, and long-term flexibility.
    04Contact Sales Discuss product fit, configuration, pricing, availability, deployment timing, procurement requirements, and commercial options. Contact Sales when you are ready to discuss a purchase path, expand an existing environment, evaluate system integration, or move from planning toward deployment.
    04/ 04

    Prepare for
    deployment

    Bring the right systems teams, partners, enablement, and support resources into the plan.

    01OEM & System partners Engage Cornelis around system design, technical enablement, integration, reference architectures, evaluation systems, joint customer planning, commercial coordination, and deployment support. Whether you are designing a new system or incorporating Cornelis into an existing offering, connect with the team responsible for OEM and system partner engagement.
    02Find a partner Connect with an OEM, system integrator, channel partner, or infrastructure specialist who can help move your architecture into production. Partner matching may consider your region, workload, system requirements, integration needs, deployment model, and procurement process.
    03Customer support Find the documentation, software and firmware resources, troubleshooting information, case management, and technical contacts needed to support your environment.
    The Cornelis approach

    The network should work for the workload

    Every infrastructure decision starts with a workload, an operating environment, and a business objective. Cornelis helps connect those requirements to the appropriate architecture, products, software, partners, and deployment model.

    • Move every bit intelligently

      Consider routing, congestion behavior, lossless delivery, and traffic patterns together.

    • Do more work in the network

      Evaluate where communication and workload operations can be accelerated in-network.

    • Keep the architecture open

      Plan software, management, interoperability, hardware, cooling, cabling, and growth together.

    Test Drive

    Partner-hosted CN5000 clusters are available

    OEM and silicon partners have stood up CN5000 clusters on the CPUs and GPUs you are deploying. Choose from Dell, AMD, Intel, Lenovo, and Supermicro systems. Bring your own code, no hardware to buy and no fabric to install. See what a congestion-free 400G network does for your time-to-result.

    Tell us your workload

    Applications, scale, and the
platform you are running.

    We match the lab

    We pair you with the right partner
lab and set up access.

    Run with our expert team

    Cornelis engineers with decades of experience help you tune and read the results.

    Dell HPC & AI
    Innovation Lab

    • 64-CPU Dell PowerEdge R770AP

    • Intel Xeon 6

    • CN5000 400G

    If you're planning a Dell refresh for simulation, CFD or molecular dynamics, this is the fastest way to see your own codes on a production-grade fabric before you sign a PO.

  • Reserve the Dell lab Arrow - Right
  • AMD Center
    of Excellence

    • 16-CPU AMD EPYC 9775 cluster

    • GPUs

    CPU and GPU-accelerated nodes with Radeon 9700s and Instinct MI350P PCIe GPUs. Test MPI codes and GPU-to-GPU traffic in one place.

  • Reserve the AMD lab Arrow - Right
  • Intel Endeavor
    Cloud

    • 16 Xeon 6 AP

    • 64 Xeon 6 SP CPUs

    Compare both Xeon 6 performance tiers on one CN5000 fabric. On Xeon 5, NAMD has scaled to 512 nodes on CN5000 at 80% efficiency.

  • Reserve the Intel lab Arrow - Right
  • Supermicro
    EMEA Lab

    • GrandTwin cluster

    • 8 AMD EPYC CPUs

    A convenient option for European teams to evaluate dense multi-node Supermicro designs with CN5000.

  • Reserve the Supermicro lab Arrow - Right
  • Your workload, your configuration

    Need something different? Run your own workloads with guidance from Cornelis technical experts.

  • Reserve your custom lab Arrow - Right
  • Resources

    Specific material for

    the Plan & Buy phase

    A focused collection of assets for technical evaluation, architecture planning, performance validation, procurement, and internal alignment.

    Technical Evaluation

    Technical evaluation worksheet

    A practical starting point for workload discovery, architecture fit, performance evaluation, integration, and deployment readiness.

  • Get the worksheet Arrow - Right
  • Design

    Architecture Planning Guide

    Planning guidance for workload requirements, topology, integration, expansion, cooling, cabling, migration, and deployment.

  • Get the guide Download

  • Buyer Alignment

    Buyer Brief: the case for fabric performance

    A concise explanation of the relationship between network behavior, application performance, infrastructure economics, and the broader buying decision.

  • Get the buyer brief Download

  • Procurement

    AI/HPC Fabric RFI/RFP Checklist

    A structured comparison framework for technical, operational, lifecycle, and commercial requirements.

  • Get the checklist Download
  • Your questions, answered

    Frequently asked questions

    • What should I look for when picking a network fabric vendor for a large AI or HPC deployment? Start with how the fabric behaves under your workload, not peak bandwidth alone. Compare congestion handling, adaptive routing, lossless delivery, collective communication and message rates. Then check software openness, interoperability, management, support, migration and lifecycle plans. Ask for systems validated by your server vendors and test on your own code. The Cornelis RFI/RFP toolkit gives technical and procurement teams one checklist for these criteria.
    • What benchmarks should I run before selecting an AI/HPC fabric? Run your own applications at the scale you plan to deploy and compare them with your current baseline. Add fabric tests for message rate, latency, bandwidth, collective communication and behavior under congestion, and record the methodology and test conditions so results can be compared. Cornelis performance experts can review the results with you in the context of your workload.
    • Can I test Cornelis networking on my own workloads before I buy? Yes. OEM and silicon partners host CN5000 clusters on Dell, AMD, Intel and Supermicro systems, and Cornelis can set up a custom evaluation. Tell Cornelis your applications, scale and platform, Cornelis matches you with a partner lab and sets up access, and Cornelis engineers help you tune and read the results. There is no hardware to buy and no fabric to install.
    • How do I roll out a GPU cluster network in phases? Start with a right-sized first phase and plan the growth path at the same time: workload requirements, node count, fabric capacity, rack and power limits, cooling, cabling and deployment phases. Choose switching that grows in place. The CN5000 Director Class Switch enables ports in 48-port increments up to 576 ports at 400 Gb/s, and its integrated two-tier fat tree removes large numbers of optical cables and external switches, lowering effective cost per port.
    • How should leaders think about network inefficiency as a financial problem? Treat it as lost capacity. When the network stalls communication, accelerators wait, jobs take longer and the cluster delivers less work for the same power and capital. Leaders should connect fabric behavior to utilization, application performance, time to solution, power and long-term infrastructure value. A Cornelis Networkonomics assessment builds that view for a specific environment.
    • How can I request a Networkonomics assessment for my AI cluster? Contact Cornelis and ask for a Networkonomics assessment. It connects fabric behavior to utilization, application performance, time to solution, capacity and infrastructure economics, including accelerator utilization, power and cooling. Share your workload mix, current architecture and scale targets so the assessment reflects your environment.
    • How is Cornelis networking purchased, and how fast can it ship? CN5000 is delivered through server OEMs and channel partners as part of configured systems, and federal buyers can work through approved integrators. Pricing depends on the system configuration, not a single list price. Eligible configurations can ship within six weeks of order confirmation. Lead times vary by configuration, quantity, inventory and component availability.
    Ready for the next step

    Have a defined requirement?

    The right infrastructure decision starts with the workload. Cornelis helps you move from requirements to evidence, architecture, and action. Whether you are evaluating performance, planning an environment, preparing an RFI or RFP, or moving toward deployment, Cornelis can connect you with the right team.

  • Contact Us Arrow - Right