CoreWeave
An AI infrastructure company that provides GPU cloud computing services specialized for AI workloads. The company has initiated the process of going public.
Core Facts
GPU computing supply can be divided into four major categories: hyperscale cloud providers, dedicated GPU clouds, computing marketplaces, and co-located owned hardware.
The default models of multiple Providers have changed: Cortecs, CrossModel, Eden AI, Google Gemini, GitHub Copilot, Google Vertex AI, LLM Gateway, Ofox, OpenCode Go, and Prime Inference now default to Gemini 4 Argon; Fireworks AI, Nebius Token Factory, and Requesty switch to Muse Spark Open; CoreWeave, DigitalOcean, NanoGPT, and Nvidia adopt Nemotron 3.5 Super VL; Aixy and Neon use Claude Haiku 5.5; Agnes AI, Ambient, IteraCompute, Poe, Scaleway, and SenseNova also have their own adjustments.
Timeline (last 90 days)
Neocloud refers to a category of cloud service providers that have emerged in recent years with GPU compute rental as their core business, with representative companies including CoreWeave, Lambda, and Crusoe.
Neoclouds (new cloud service providers) are an emerging category of compute rental companies relative to traditional hyperscale cloud providers (AWS, Azure, GCP), with typical examples including CoreWeave and Lambda Labs.
Shares of neoclouds such as CoreWeave and Nebius have fallen more than 30% since early October, and CoreWeave's credit default swap premium exceeds 11%.
CoreWeave's business model is to use debt leverage to acquire GPU assets and then recoup cash flow in the form of compute leasing.
CoreWeave is one of the core distributors of Nvidia GPU compute, with customers including Microsoft and OpenAI.
Chamath Palihapitiya noticed CoreWeave's distressed debt on Tuesday and questioned whether AI infrastructure financing is spawning a private credit bubble.
CoreWeave's bonds slid into "distressed" territory last week, that is, investors demanding yields 1,000 basis points above Treasuries.
CoreWeave is seen as a bellwether of the AI compute economy, and deteriorating pricing of its debt could raise financing costs for other similar compute rental providers.
Not all of CoreWeave's debt comes from public bond markets; private credit funds also provide financing collateralized by hardware assets such as GPUs.
H100 pricing on platforms such as AWS, Azure and CoreWeave once reached as high as 8 to 12 US dollars per hour or even more, then gradually fell back as supply improved.
33 more timeline events
All Facts (20)
GPU computing supply can be divided into four major categories: hyperscale cloud providers, dedicated GPU clouds, computing marketplaces, and co-located owned hardware.
75%Partially VerifiedThe default models of multiple Providers have changed: Cortecs, CrossModel, Eden AI, Google Gemini, GitHub Copilot, Google Vertex AI, LLM Gateway, Ofox, OpenCode Go, and Prime Inference now default to Gemini 4 Argon; Fireworks AI, Nebius Token Factory, and Requesty switch to Muse Spark Open; CoreWeave, DigitalOcean, NanoGPT, and Nvidia adopt Nemotron 3.5 Super VL; Aixy and Neon use Claude Haiku 5.5; Agnes AI, Ambient, IteraCompute, Poe, Scaleway, and SenseNova also have their own adjustments.
75%UnverifiedNeocloud refers to a category of cloud service providers that have emerged in recent years with GPU compute rental as their core business, with representative companies including CoreWeave, Lambda, and Crusoe.
50%UnverifiedNeoclouds (new cloud service providers) are an emerging category of compute rental companies relative to traditional hyperscale cloud providers (AWS, Azure, GCP), with typical examples including CoreWeave and Lambda Labs.
50%UnverifiedShares of neoclouds such as CoreWeave and Nebius have fallen more than 30% since early October, and CoreWeave's credit default swap premium exceeds 11%.
50%UnverifiedNot all of CoreWeave's debt comes from public bond markets; private credit funds also provide financing collateralized by hardware assets such as GPUs.
50%UnverifiedCoreWeave's business model is to use debt leverage to acquire GPU assets and then recoup cash flow in the form of compute leasing.
50%UnverifiedCoreWeave is one of the core distributors of Nvidia GPU compute, with customers including Microsoft and OpenAI.
50%UnverifiedCoreWeave is seen as a bellwether of the AI compute economy, and deteriorating pricing of its debt could raise financing costs for other similar compute rental providers.
50%UnverifiedH100 pricing on platforms such as AWS, Azure and CoreWeave once reached as high as 8 to 12 US dollars per hour or even more, then gradually fell back as supply improved.
50%UnverifiedPrime Inference's default model is Gemini 4 Argon, Requesty's is Muse Spark Open, Nvidia's and Nebius Token Factory's is Nemotron 3.5 Super VL, and Aixy's and Neon's is Claude Haiku 5.5.
50%UnverifiedOpenAI's subprocessors include cloud hosting providers Microsoft, CoreWeave, Oracle and AWS, as well as the Philippine company TaskUs, which handles content moderation; OpenAI's subprocessor list was updated on 14 October 2026.
50%UnverifiedTypical representatives of Neocloud specialized compute companies are CoreWeave, Lambda Labs, Together AI and others.
50%UnverifiedIn the professional GPU rental and hosting space, in addition to the three major cloud providers AWS, GCP, and Azure, there are emerging players such as CoreWeave, Lambda Labs, RunPod, and Vast.ai.
50%UnverifiedGPU-focused new cloud (neocloud) providers such as CoreWeave are rising, offering GPU-dedicated environments with faster deployment.
50%UnverifiedGPU clouds (such as Lambda, RunPod, and CoreWeave) offer raw compute rental, where users deploy their own model weights and are billed per GPU hour.
50%UnverifiedCoreWeave has already gone public.
50%UnverifiedAccording to reports, in CoreWeave's tests, the isolated sandbox environment for running code starts more than 3x faster on the new Vera CPU
50%UnverifiedThe Vera Rubin servers on which Cognition runs Devin are rented from cloud provider CoreWeave
50%UnverifiedAccording to CoreWeave's comparison chart, Rubin holds approximately a 3x advantage over the GB200 at the slow end, climbing to more than 7x at the fast end
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