Stoa：GPU和AI服务器交易平台

Stoa是一个用于购买和出售新和二手GPU和AI服务器的交易平台，通过提供一个简化的请求和报价平台，解决了融资和交易这些关键计算资产面临的挑战。 Stoa因其在高危客群中的高关注度以及通过交易费和与超大规模计算器和初创公司的合作而明确的盈利模式而备受关注，解决了数据中心建设过程中的重大痛点。 Stoa采用按交易完成量分级的费率结构，在交易量较高时费率较低，并且不占有硬件，确保了一个基于信任的交易平

项目链接：https://www.stoaexchange.com/ 作者：erenberke 发布时间：2026-08-10T16:35:27Z 挖掘日期：2026-08-11 AI 评分：8.0/10 来源：hackernews 标签：AI, Marketplace, GPUs, Servers, Finance

📌 项目详解

Stoa是一个用于购买和出售新和二手GPU和AI服务器的交易平台，通过提供一个简化的请求和报价平台，解决了融资和交易这些关键计算资产面临的挑战。 Stoa因其在高危客群中的高关注度以及通过交易费和与超大规模计算器和初创公司的合作而明确的盈利模式而备受关注，解决了数据中心建设过程中的重大痛点。 Stoa采用按交易完成量分级的费率结构，在交易量较高时费率较低，并且不占有硬件，确保了一个基于信任的交易平台。

🌐 背景与生态

GPU在数据中心建设中至关重要，通常用作融资的抵押品。然而，缺乏一个标准化的交易平台来交易这些资产导致了低效和高成本，从而催生了像Stoa这样的平台。

💬 社区讨论

社区评论强调了验证GPU状况和使用历史记录的挑战，平台的B2B重点，以及对防止欺诈的担忧。

🚀 应用前景

Stoa在数据中心和人工智能行业具有显著的应用前景，可能解决与硬件融资和流动性相关的问题，并可用于为超大规模计算器和初创公司构建产品或服务。

🔧 技术栈

Stoa的技术栈可能涉及网络开发框架、数据库管理系统，以及可能的人工智能驱动的定价算法，以促进GPU和AI服务器的交易。

🎯 上手难度

使用Stoa的难度被评为进阶，需要对GPU市场有基本的了解，并能够获得必要的财务和硬件资源。

👥 目标用户

Stoa的目标用户是参与数据中心建设和人工智能基础设施的超大规模计算器和初创公司。

⚖️ 类似项目对比

竞争对手或相关项目包括专门的GPU交易平台，如Gpus.com和GPU.io，它们可能提供类似的服务，但侧重点或费率结构不同。

📚 参考链接

📄 查看原文内容 Hi HN, we’re Eren, Berat and Kaan. We’re building Stoa (https://www.stoaexchange.com), a marketplace for new and used GPUs and AI servers.

GPUs are the collateral in the data center buildout. Today, financing terms mostly depend on the offtaker, meaning the company that has committed to use the compute.

If that company is a hyperscaler, the financing can look investment grade. If it’s a smaller cloud or startup, terms get expensive fast, even with the same hardware as collateral.

The lender’s problem is pretty reasonable. If the borrower defaults and we need to sell these servers, what can we actually get for them? There isn’t a good answer today.

We started brokering GPU deals to understand why. It was much more manual than we expected. The hardware is still traded through phone calls, forwarded spreadsheets and long email threads.

One week, a seller quoted us $200k for a server node and another quoted $240k for what looked like the same thing. Neither was necessarily wrong. They had different information and could only see their own corner of the market.

Before we could compare the quotes, we had to sort out the configuration, condition, warranty, location and delivery terms. It’s the same information Kelley Blue Book attaches to a used-car price through the year, trim, mileage and condition. “An H100 server” isn’t enough information to know what something is worth, just as “a used BMW” isn’t.

This is also just a bad way to buy or sell hardware. A buyer looking for the best price shouldn’t have to contact several brokers and dealers separately, repeat the same request and then untangle a pile of different quotes. Sellers shouldn’t have to search for demand one buyer at a time. A market of this size deserves better liquidity.

Stoa puts the request into one format and sends it to dealers that have gone through know-your-business (KYB) checks. We verify the company, who owns it and who is allowed to trade for it. Before the request goes out, the buyer confirms the exact configuration, quantity, condition, warranty, location, delivery terms and what will be checked during inspection. Dealers return firm quotes against that same request without seeing each other’s bids. Once a quote is accepted, payment, shipping, delivery and inspection are then tracked through settlement. We don’t take possession of the hardware.

We got more than $300M in requests for quotes (RFQs) during our first month.

The immediate goal is to make buying and selling this hardware less painful. As trades build up, they also leave lenders with actual resale evidence instead of list prices and one off appraisals.

We knew from the beginning that this couldn’t be a software only marketplace. GPU trading runs on relationships, and inventory isn’t shown to just anyone. Dealers need to trust the people bringing them clients, and clients need to trust that quotes will actually turn into trades. We built those relationships over time by brokering deals ourselves. Stoa gives people a cleaner way to trade, from the first RFQ through settlement, but it doesn’t replace the trust underneath. Those relationships, and the history of who actually follows through, are a big part of our process.

We’ve known each other for more than ten years. We have founded companies, traded interest rate derivatives, built trading and pricing systems for oil and gas. We learned GPU trading by doing the deals ourselves, and Stoa grew out of the problems we kept running into.

We charge a tiered fee on completed trades, with lower fees at higher volumes. It’s free to sign up at https://www.stoaexchange.com/signup. If you’ve bought, sold, financed or had to liquidate GPUs, would be great to hear your take! --- Top Comments --- [matt-p]: This is super cool! I agree the non-fungible nature of a H100 (or whatever) is a massive challenge. How do you actually verify usage/thermal history on these? Hours run and thermal violations aren't stored on the card IIRC, only ECC error counts and retired pages persist in the GPU's own InfoROM, host side monitoring like DCGM logs, are only as good as whatever the seller hands over. Is condition at inspection based on a real monitoring export from the deployment or just an Inf... [mayank]: I assume this is a strictly B2B proposition in spite of "built for every side of the GPU market" -- meaning I'm probably not going to be able to buy/bid on small (e.g. 2-8) lots of used, matched RTX 3090s for example? [lyime]: Lol been thinking about this for the lat few months. Good to see someone build it. [bklosky]: I’m very curious about how you’re fending off fraud— just wondering about how a lot of dark web transactions supposedly have escrow, but people waive it and then get burned. Do you have anything beyond KYC/escrow? [stevefan1999]: But what about the GPUs that are considered defective for corporate and enterprise use, but perfect for personal use...say like A100s that maybe having ECC issues but I can live with that </details>