AI infrastructure decisions, made with clarity.
For those deploying capital, and those deploying compute.
Aureak advises enterprises and institutional investors on the infrastructure decisions behind AI: sizing, build vs buy, and vendor selection.
Founded by a former AWS and Amazon infrastructure and supply chain leader. Trusted by institutional investors, private equity, and enterprises building AI at scale.
What Aureak does
From the operator’s seat: three focused practices for enterprises building AI at scale and the investors backing them.
AI infrastructure advisory
For small businesses, startup founders, mid-market CTOs, and Fortune 500 CIOs. Sizing AI workloads. Deciding build vs buy vs API. Selecting vendors and structuring long-term commitments.
Learn more →Investor diligence
For venture capital, private equity, sovereign wealth, infrastructure funds, corporate venture, and chip makers. Technical diligence on AI infrastructure investments. Market analysis. Ongoing advisory to portfolio companies.
Learn more →Executive coaching and interim leadership
For enterprises scaling AI infrastructure teams, and funds needing operator-level oversight of portfolio companies. Coaching for infrastructure and platform leaders. Interim leadership during transitions.
Learn more →Neoclouds run 40–45% below hyperscaler list rates on raw GPU-hour pricing. For a company spending $50M/year on training compute, that’s $20M+ in annual savings — if the trade fits your situation.
Hyperscaler vs Neocloud: an honest cost comparison
Neoclouds pay list price for GPUs and pay Nvidia for networking. Hyperscalers get volume discounts and build their own fabric. So why is a Neocloud 40 percent cheaper on raw compute?
Read essay →Estimate your annual AI spend
Four questions. See estimated annual spend across four paths, and which one fits your scale.
Open the calculator →Considering an AI infrastructure decision?
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