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SF Compute CEO Evan Conrad on physically settled GPU markets and programmable data centers

2 articles2 sourcessince Oct 20Last article 1h ago ·

Overview

AISummary of 2 articles

In a Latent Space interview published October 20, 2026, SF Compute CEO Evan Conrad says the company has built the operating capacity of a cloud so buyers receive usable compute rather than a cash payment against an index.

Conrad says about 5% of total capacity now trades on SF Compute's order book, which matches orders on constraints such as interruptibility, GPU generation and networking.

Conrad argues that cash-settled compute contracts should be derived from physical settlement, and that companies with large hardware or inference businesses cannot run a neutral exchange. The Latent Space post that promotes the interview compares the idea to Nicira's virtualized networking, which VMware bought for $1.3 billion after Cisco offered $600 million. The post's account of the discussion is the publisher's summary.

Written by AI from the articles below · updated Oct 20, 3:58 PM ET

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Developments

2 developments

  1. Oct 20, 3:41 PM ET · 1 article
    Latent Space interviews SF Compute CEO on programmable GPU data centers
    Latent.Space: Latent Space interviews SF Compute CEO on programmable GPU data centers
  2. Oct 20, 3:31 PM ET · 1 article
    SF Compute CEO Evan Conrad explains physical settlement and programmable compute markets
    Latent Space: SF Compute explains how physical settlement makes GPU markets work

Article timeline

The articles in this story. Times are ET.

Oct 20
  1. Latent.SpaceX
    Latent Space interviews SF Compute CEO on programmable GPU data centers

    AILatent Space's post promotes a conversation between swyx and Evan Conrad, CEO of SF Compute, about turning data centers into programmable infrastructure. The post compares the idea to Nicira's virtualized networking, which VMware bought for $1.3 billion after Cisco offered $600 million. The conversation covers GPU interruptions, hardware generations, the GPU order book, physical settlement before compute derivatives, and programmable InfiniBand.

    Video from @latentspacepod's post
  2. Latent SpaceBlog
    SF Compute explains how physical settlement makes GPU markets work

    AIEvan Conrad, CEO of SF Compute, says the company has built the operating capacity of a cloud so buyers receive usable compute rather than a cash payment against an index. He says about 5% of total capacity now trades on its order book, and that the order book matches orders with constraints such as interruptibility, GPU generation and networking. Conrad argues that cash-settled compute contracts should derive from physical settlement, and that companies with large hardware or inference businesses cannot run a neutral exchange.

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