Cool Vector

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Cool Vector covers the rise of data centers and the digital infrastructure investment asset class. Through interviews and panel discussion with leaders in operations, capital, energy, real estate and technology, Cool Vector offers in-depth, lively conversations with the entire ecosystem of the booming digital infrastructure world. Cool Vector is produced by financial journalist David Snow in partnership with long-time data center operators Phillip Koblence and Nabeel Mahmood.  Full episodes of Cool Vector live on Apple Podcasts and other podcast channels, and video clips are shared on LinkedIn, TikTok and Instagram. The Cool Vector video-podcast homepage is here: https://coolvectormedia.com/ Socials: LinkedIn linkedin.com/company/cool-vector-media/posts/?feedView=all Instagram instagram.com/coolvectormedia TikTok tiktok.com/@coolvectormedia?is_from_webapp=1&sender_device=pc Spotify podcasters.spotify.com/pod/show/elatromme Website coolvectormedia.com

  1. 1d ago

    Oracle’s Director of Construction Says Building Data Centers is Like Building Cities

    Building AI infrastructure at gigawatt scale means "developing city-sized machines,'" says Craig Deering, senior construction manager at Oracle.  Drawing on decades of experience — from dismantling AT&T and building the Baby Bells to leading cloud and now AI data center projects — Deering tells Cool Vector: "The challenges of developing a city-sized machine have been known for at least a century. We just need to realize that we're building at that scale." Deering shares his outlook on the economics of AI compute, the human toll of building at unprecedented speed, and why he remains bullish on AI's impact on jobs despite decades spent watching technology reshape his industry. Key Takeaways: • Job sites that once had 1,200 workers now have 6,000 to 8,000, split across multiple companies — a human resource challenge on a scale Deering compares to building the Panama Canal or Gilded Age company towns like Hershey, Pennsylvania • Driving down the incremental cost of AI token production is the industry's central equation, tying directly into Jevon's paradox: as compute gets cheaper, demand explodes • Structural job displacement is real, but Deering argues history — from hand-drafting to CAD to BIM — shows technology ultimately expands opportunity rather than eliminating it Access the full transcript and a searchable archive at the Cool Vector Substack. #digitalinfrastructure #datacenter #AI

  2. Jun 23

    The Futures Market for Compute Has a Fungibility Problem

    Stan Hanks invented a commodities market for broadband while at Enron, and has well informed views on the need for a similar market for compute. The main challenge: units of compute are proving difficult to standardize.  In this episode of Cool Vector, Stan Hanks of Kreneon, Wayne Nelms of Ornn, Hadassa Lutz of Cloud2Ground and host David Snow join Cool Vector to examine whether compute can be turned into a tradable commodity — drawing a direct line from Hanks' experience creating a broadband futures market at Enron to the emerging effort to do the same thing for GPU capacity.  Compute has the economic conditions for a futures market — surging demand, volatile prices, massive capital at risk — but lacks the defining characteristic of a true commodity, which is fungibility. Workload built for one chip architecture can't simply be swapped to another.  This fascinating conversation takes place as the one-year lease price of the H100 GPU has jumped nearly 40 percent between late 2025 and early 2026, and market players are now are racing to launch the first regulated compute futures products. Key takeaways from this episode: • Token usage is opaque and hard to predict - Hanks compares tokens to a foreign currency where you don't know how much work you're actually getting — likening the experience to a parking meter that speeds up mid-session, demanding another quarter well before the hour you thought you'd paid for. • Anthropic and ChatGPT are token 'price setters' - Nelms observes that the closed-source model providers — OpenAI and Anthropic — produce their own tokens and set their own prices, making the token market far less liquid and competitive than the GPU rental market where multiple neo clouds are offering access to relatively comparable hardware. • GPU price fluctuations call for a futures market - The one-year lease price for the H100 GPU jumped 38.2% between October 2025 and March 2026, precisely the kind of volatility that Wayne Nelms argues a liquid futures market — with prices written into debt covenants and used as hedging benchmarks — would give infrastructure investors the tools to manage.  • How Hanks created a broadband futures market while at Enron - By building his own fiber network to create a naturally long position, then standardizing both the buy-side and sell-side contracts around a common definition of bandwidth capacity, Stan used Enron's $20 billion treasury to move the market from bespoke, one-off bilateral deals toward something that looked and behaved like a commodity. • Compute has a 'perfect opportunity' for commodity market mechanics - Han ks draws a direct parallel between the broadband boom of the late 1990s and today's compute buildout — massive capital being deployed into infrastructure without visibility into future demand and price — and argues that this information vacuum is precisely the condition under which commodity market mechanics have historically proven most valuable. • Stan Hanks barely escaped the wreckage of Enron - At a famous analyst meeting in January 2000, Stan was presented with a transcript of promises made to the market about products that were pure science fiction, realized he would be asked to attest to their veracity, said he couldn't do it, and left the following Monday — narrowly avoiding a collapse that would eventually make him a DOJ witness for eleven years. Access the full transcript and a searchable content library on the Cool Vector Substack. #coolvector #datacenter #GPU #tech #commodities #enron #digitalinfrastructure

  3. Jun 16

    Data Center Deals are Appearing on the Secondaries Radar

    Data center owners are turning to the infrastructure secondaries market for capital, and getting pushback over unrealistic valuations, says Eddie Keith, Partner and Head of Infrastructure Secondaries in the Ares Secondaries Group.  In a fascinating conversation, Keith tells sister channel Liquid Courage how digital infrastructure has rapidly evolved from a fringe asset class into one of the most active and compelling corners of the secondaries market, driven by capital needs that outpace what traditional fund structures can accommodate.  Keith draws on nearly two decades of secondaries experience to lay out what separates a smart infrastructure secondary from a trap, why the asset class rewards diversification, and the criticality of  mature cash-flowing assets anchored to a strong development pipeline.  Among the key takeaways: • Troubled data center deals are of no interest to infrastructure secondary buyers. If a GP can't sell an asset through a traditional process, bringing it to the secondary market as a last resort is a signal to run — not a reason to look harder. • Data center execs have inflated expectations on value. Some data center owners have valued their platforms at 1.3 to 1.4 MOIC, but due diligence done by infrastructure secondaries buyers have revealed valuations more in the 0.8 to 1.0 range. A data center owner will be hard pressed to sell assets at strong multiples without future revenues supported by contracted cash flows. • Distressed secondary deals have been 'some of the worst.' The continuation vehicle market was born out of post-financial-crisis distress, and those early deals — broken assets from broken franchises that secondary capital was supposed to rescue — turned out to be some of the few reliable ways to lose money in a market with a thirty-year history of generating returns. • LPs should not overallocate to digital infrastructure. Infrastructure investing moves in waves — digital was considered fringe before COVID made it the belle of the ball — and the investors who stay diversified across the full asset class are the ones who don't get caught over-indexed to last cycle's darling. Access the full transcript and a searchable library of content at the Cool Vector Substack. #coolvector #infrastructure #datacenter #secondary #privateequity

Ratings & Reviews

5
out of 5
3 Ratings

About

Cool Vector covers the rise of data centers and the digital infrastructure investment asset class. Through interviews and panel discussion with leaders in operations, capital, energy, real estate and technology, Cool Vector offers in-depth, lively conversations with the entire ecosystem of the booming digital infrastructure world. Cool Vector is produced by financial journalist David Snow in partnership with long-time data center operators Phillip Koblence and Nabeel Mahmood.  Full episodes of Cool Vector live on Apple Podcasts and other podcast channels, and video clips are shared on LinkedIn, TikTok and Instagram. The Cool Vector video-podcast homepage is here: https://coolvectormedia.com/ Socials: LinkedIn linkedin.com/company/cool-vector-media/posts/?feedView=all Instagram instagram.com/coolvectormedia TikTok tiktok.com/@coolvectormedia?is_from_webapp=1&sender_device=pc Spotify podcasters.spotify.com/pod/show/elatromme Website coolvectormedia.com

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