Virtual Session

Capital to Cashflow: Building a GPU Investment Strategy

A live session exploring institutional-grade GPU infrastructure as a yield-generating asset class. In 60 minutes, you'll see how the turnkey ownership model works, what the return profile looks like with real numbers, and how other firms are already structuring GPU investment products.

Date
August 6, 2026
Time
11AM ET / 8AM PT / 5PM CEST
Location
Microsoft Teams

Overview

GPU Infrastructure as an Asset Class: What the Numbers Actually Show

AI compute demand is outpacing supply, and the firms that can fund and deploy GPU infrastructure are capturing returns that look more like operating cashflow than a speculative bet. Most investment committees have looked at the headlines without seeing the underlying mechanics: how the capital model is structured, what utilization and IRR actually look like on operating clusters, and how the asset behaves over a full hold period.

This session is built for the people making those allocation decisions. We walk through the full turnkey model, from signed agreement to cashflow positive in roughly ten weeks, and put real numbers on the table from clusters running today. You bring the diligence questions. We bring the operating data.

By the end, you'll have a clear view of whether GPU infrastructure fits your mandate, how it compares to the infrastructure assets already in your book, and what a first deployment would look like in practice.

What You'll Learn

In 60 minutes, you'll leave with a working understanding of GPU infrastructure as an investable asset and the numbers to pressure-test it against your own return thresholds.

  • Why GPU infrastructure is becoming an institutional asset class. AI compute demand is structural, not cyclical. We cover what that means for return durability and how the asset compares to traditional infrastructure holdings.
  • How the capital model works. You own the hardware. Arc Compute handles procurement, deployment, and 24/7 operations. We walk through the full turnkey model, from signed agreement to cashflow positive in roughly ten weeks.
  • What the return profile actually looks like. Utilization rates, the revenue stack, levered IRR, payback period, and residual capital recovery, using real numbers from operating clusters.
  • How other investment firms are using this. Case studies from a US private investment group and a UK firm structuring GPU investment products, including listed bonds and managed funds, all built on Arc Compute infrastructure.
  • Live Q&A. Bring your diligence questions.

Who Should Attend

Private Equity and Growth Investors

Evaluating infrastructure and real-asset strategies who want to understand where GPU compute fits relative to traditional holdings, and what the underwriting looks like.

Family Offices

Looking for yield-generating, hard-asset exposure with a defined operating partner and a clear path to cashflow, without taking on the operational burden directly.

Alternative Asset Managers and Fund Structurers

Exploring how to package GPU infrastructure into investable products, including bonds, managed funds, and co-investment vehicles, with operating data to support the structure.

CFOs and Investment Committee Members

Responsible for capital allocation decisions who need the return mechanics, risk profile, and residual value picture before bringing a recommendation forward.

Featured speakers

Voices from the session

Justin Ritchie

President & Founder
/
Arc Compute

Justin helps organizations access and deploy the GPU infrastructure required for modern AI and high-performance computing workloads. As President, he leads the company’s vision, partnerships, and growth initiatives, working closely with customers to turn infrastructure challenges into scalable, production-ready solutions.

Connect on LinkedIn

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