Enterprise IT

Where should your AI run?

For CIOs, CTOs, VPs of infrastructure and HPC leads at mid-market companies in manufacturing, engineering, semiconductor and EDA, biotech, energy, financial services and healthcare.

Book a discovery call See the Placement Assessment

25 years designing, building and operating HPC datacenters · Veteran-owned

Drawing: the placement matrix A matrix with three columns, on-prem, cloud and hybrid, and four rows: custody, elasticity, operations and cost. A workload card is placed in the hybrid column. Summit Logic Placement matrix Dwg SL-0015 Sheet 1 of 1 Rev A Illustrative 1 Placement On-prem Cloud Hybrid 2 Weighed on Custody Where the data must stay Elasticity How steady the demand is Operations Who runs it day to day Cost Over three to five years 3 Workload Workload card Use case Data class Placed where the four rows agree
the problem

The demand is real. The answer isn't obvious.

Your teams want AI, and the data it needs is sensitive. Every option carries different risks and costs, and every vendor recommends its own answer. Some assessments recommend the cloud. That's the point of doing one.

  • Buy GPUs and run them in your own hall
  • Move to colocation and keep the hardware
  • Use a managed cloud AI platform
  • Or split the work by data class and demand
what we do

What we do for an infrastructure team

  1. Technical Financial Models

    The Placement Assessment

    Two to four weeks, fixed fee: your workloads benchmarked on your own data, local, cloud and hybrid designs, a three-to-five-year TCO and a signed recommendation.

  2. Datacenter Infrastructure

    Reference designs

    On-prem, colocation, cloud and hybrid designs sized to the workloads you actually run, with power, cooling and rack density worked out.

  3. Datacenter Infrastructure

    Design-build and owner's rep

    Oversight from someone who has built HPC datacenters: the contractors, the long-lead equipment and the commissioning, on your side of the table.

  4. AI Solutions Architecture

    AI systems on the chosen platform

    The workflows themselves, built on the platform the assessment chose and inside the tools your teams already use.

  5. Technical Financial Models

    Financing if you buy

    Buy, lease or cloud structures modeled for your finance team, with financing arranged with third-party lenders if you buy.

how to start

Start with one workload

  1. 01

    Bring the use case

    One workload you are deciding where to run, as it stands today.

  2. 02

    The five questions

    What it does, the data it touches, the output it needs, who runs it and over what horizon.

  3. 03

    A scoped assessment

    A fixed fee and a plan, or a short answer if the choice is already clear.

Our answer does not depend on what you buy

The assessment is fixed-fee and independent of what you buy, who you buy it from and who finances it. The decision stays with your team.

Talk to us about where your AI should run

Forty-five minutes. Bring one workload and we will tell you which questions decide it.

Book a discovery call

Financing is arranged with third-party lenders and is subject to lender approval.