--- title: 'Crusoe — company profile' canonical: 'https://feeny.ai/companies/crusoe' type: 'company' updated: '2026-07-02' --- # Crusoe > Energy-first AI infrastructure company that sources power, builds hyperscale AI data centers, and runs a GPU cloud purpose-built for AI workloads. - **Website:** https://crusoe.ai - **Type:** Private (Series E) - **Headquarters:** Denver, Colorado, USA - **Founded:** 2018 - **Founders:** Chase Lochmiller, Cully Cavness - **Valuation:** $10B+ - **Total raised:** ~$3.9B - **Latest round:** Series E · $1.375B · 2025 (valuation above $10B) - **Investors:** Valor Equity Partners, Mubadala Capital, NVIDIA, Founders Fund, Fidelity Management & Research, T. Rowe Price, Tiger Global Management, Salesforce Ventures, Ribbit Capital, Spark Capital, Altimeter Capital, 137 Ventures, Lowercarbon Capital, Winklevoss Capital, Franklin Templeton, Blue Owl - **Business model:** AI infrastructure provider (B2B): GPU cloud, managed inference, and large-scale data-center capacity contracts. - **Industries:** Infrastructure - **Open roles:** 363 - **Profile:** https://feeny.ai/companies/crusoe ## What they do Crusoe is a vertically integrated AI infrastructure company. It finds and secures power, builds and operates hyperscale AI data centers, and offers a cloud platform purpose-built for AI training and inference, spanning the stack "from electrons to tokens." ## Overview **The company betting AI runs out of power before it runs out of ideas** Crusoe started in 2018 with a contrarian read on the AI boom: the bottleneck isn't chips, it's electrons. Chase Lochmiller and Cully Cavness built the company to own every layer between energy and compute, from finding stranded power to running the GPUs that sit on it. That bet has scaled fast. Out of Denver, Crusoe now calls itself "the AI factory company," runs gigawatt-class data centers like the 1.2 GW Abilene campus behind OpenAI and Oracle's Stargate, and in late 2025 raised $1.375B at a valuation above $10B. It even sold off the bitcoin-mining business it was born from to go all-in on AI infrastructure. ## What They Do **Electrons to tokens, all under one roof** Crusoe is vertically integrated in a way most cloud vendors aren't. It sources power, builds and operates hyperscale AI data centers, and rents the result as a GPU cloud, so a customer training a frontier model can lean on one company for the whole stack instead of stitching together a utility, a colo, and a cloud. The pitch is energy-first: pair AI compute with wind, solar, hydro, geothermal, and gas so growth isn't capped by the grid. The through-line, in their own words, is going "from electrons to tokens." ## Problems **When the grid is the thing standing between you and more compute** AI's real ceiling right now is power and the time it takes to stand up capacity. Crusoe's answer is to attack both at once: secure large blocks of power (often stranded or new-build), then drop modular, fast-to-deploy data centers onto it. For the teams renting the compute, the problem is different but related. Crusoe says its cloud deploys models up to 20x faster and cuts costs up to 81%, with managed Kubernetes, Slurm, and fault-tolerant AutoClusters meant to take the operational grind off AI teams. Those are the company's own figures, so read them as claims, but the underlying pain (scarce GPUs, flaky long-running jobs) is real. ### Problems addressed - Power as the binding constraint on AI compute - Slow, expensive standup of large GPU capacity - Operational overhead of running large AI training and inference jobs - Instability and interruptions on multi-day training runs - Emissions and energy waste from conventional data-center growth ## Who It's For **Built for the labs and enterprises training at the frontier** This is infrastructure for people who train and serve large models at serious scale, not hobbyists spinning up a notebook. Crusoe's customers skew toward AI-native startups, enterprise AI teams, and research shops that need thousands of top-tier GPUs and can tolerate a sales-led onboarding. That focus is also the tradeoff reviewers flag: there's no self-serve signup, so smaller teams that just want to swipe a card and go are not the target. ### Ideal customer profiles - **AI infrastructure / ML engineers** — Scarce top-tier GPUs; Keeping long training jobs alive; Operational burden of clusters - **Heads of AI / research** — Getting large capacity fast; Cost of frontier-scale training - **Platform / infrastructure leaders** — Reliable, high-throughput inference at scale; Predictable large-scale compute contracts ## Products **A cloud, a managed inference engine, and the factories underneath** Crusoe's lineup stacks three layers on top of the power it controls. Crusoe Cloud is the GPU platform with NVIDIA and AMD compute, accelerated storage, and RDMA networking. Crusoe Managed Inference wraps its proprietary inference engine (MemoryAlloy) and the Intelligence Foundry for teams that want speed without running the plumbing themselves. Beneath both sits the part few cloud vendors own: the AI data centers themselves, built modular and fast, plus managed Kubernetes, Slurm, and AutoClusters to keep large jobs alive. ## Business Model **Sell the compute, own the power that makes it cheap** Crusoe makes money renting AI infrastructure: cloud GPU capacity, managed inference, and increasingly large data-center capacity contracts with hyperscalers and labs. Because it sources its own energy and builds its own facilities, the margin story rests on controlling cost at the bottom of the stack rather than reselling someone else's cloud. There's no public price list. Engagements run through sales with custom contracts, which fits the enterprise and lab customers it's chasing. ### Plans Crusoe does not publish a price list. Capacity, managed inference, and data-center contracts are sold through sales as custom, enterprise-scale agreements, with cost driven by GPU type, cluster size, and term. There is no self-serve signup, which reviewers cite as a barrier for smaller teams. Good to know: No public pricing; engagements go through "contact sales".; Sales-led onboarding, not self-serve.; Company claims up to 81% lower cost and up to 20x faster deployment vs. alternatives (own figures). ## Competition **Racing the neoclouds while owning something they rent** Crusoe sits in the "neocloud" pack (CoreWeave, Lambda, Nebius and the like) all fighting to place scarce NVIDIA GPUs, and above them the hyperscalers whose ecosystems it can't yet match. Its edge is structural: it owns the energy and the buildings, not just the servers, which is hard to copy quickly. The flip side shows up in reviews: a thinner native integration story than AWS or GCP, and fewer GPU SKUs than some rivals. The bet is that owning power and data-center speed matters more as the AI buildout keeps hitting grid limits. ### Their edge - **Owns the power, not just the servers** — Vertical integration from energy sourcing through data-center build to cloud lets Crusoe attack the grid bottleneck rivals depend on utilities for. - **Speed of buildout** — Modular AI factories deployed fast (e.g. Abilene’s first 1.2 GW phase live ~1 year after groundbreaking). - **Scarce GPU access** — Deep NVIDIA and AMD partnerships give customers hard-to-get top-tier GPUs. ### Where they're betting - Gigawatt-scale AI data-center buildout - Managed inference and full-stack AI cloud - Energy partnerships (gas turbines, iron-air batteries, nuclear, second-life EV batteries) - Responsible-AI and sustainability governance ## Proof **Gigawatts contracted, and a flagship campus already live** The numbers Crusoe points to are about scale of buildout, not just uptime. Its contracted AI infrastructure capacity is approaching 5 GW across data centers and cloud, its power pipeline tops 45 GW, and the first phase of the 1.2 GW Abilene campus went live roughly a year after groundbreaking. On the cloud side it cites 99.98% uptime and reports Crusoe Cloud bookings grew about 5x across the first three quarters of 2025. It also ranked #1 on Artificial Analysis for fastest Kimi K2 inference. ## What People Say **Reliable iron and rare GPUs, but not a swipe-and-go cloud** The consistent praise is about the hardware and the reliability: access to scarce top-tier NVIDIA and AMD GPUs, and long training runs that stay up, with the 99.98% cluster uptime figure showing up in customer accounts. The recurring gripes are the other side of the same coin. Crusoe isn't self-serve, so you need a sales cycle and engineers to operate it; the native integration ecosystem is thinner than the hyperscalers'; and it stocks fewer GPU types than some competitors. Glassdoor reviews split too, with good pay and benefits set against complaints about frequent pivots inside a company scaling this fast. ## Funding **$1.375B at a $10B+ valuation, and roughly $3.9B in all** Crusoe's October 2025 Series E came in oversubscribed at $1.375B, pushing its valuation above $10B and co-led by Valor Equity Partners and Mubadala Capital. NVIDIA, Founders Fund, Fidelity, T. Rowe Price, Tiger Global, and Salesforce Ventures are among the backers, with Blue Owl slated for a later close. That round sits on top of a fast climb: a $600M Series D in 2024, $350M Series C, and earlier rounds that add up to roughly $3.9B raised since 2018. ## Team & Culture **Move fast, make things, and expect to build the process yourself** Crusoe hires people who are comfortable on "a path not fully paved." Its values read like a climbing expedition: think like a mountaineer, move fast and make things, and bend energy toward sustainability. Leadership has been stacking veteran operators, adding a former MongoDB exec as COO/CFO and a Google Cloud AI leader to run product. The work spans an unusually wide range for one company: cloud and systems engineers alongside electrical engineers, data-center construction, and manufacturing. Roles are hybrid and office-anchored across Denver, San Francisco, Bellevue, Tulsa, Dublin, and Tel Aviv, and the company is candid that teams and processes are still being built. ## Compensation **Real bands across the stack, equity in every offer** Crusoe discloses pay on many of its US roles, and the spread is wide because the company hires everything from staff software engineers to CNC operators and data-center construction managers. Engineering and sales roles reach the highest, with a large chunk of postings carrying disclosed yearly bands in USD. Restricted Stock Units are included in every offer, and many roles list a bonus on top of base, so equity is a standard part of the package rather than a perk for a few. ## Security & Legal **ISO-certified, and betting on responsible-AI governance too** Crusoe picked up ISO 27001 for information security and ISO 42001 for AI management in early 2026, and runs a dedicated security engineering function. The registered entity is Crusoe, Inc., and the company publishes a "Do Not Sell or Share My Personal Information" control alongside its privacy notice. Sustainability governance is part of the same story: it ships an annual ESG/impact report and frames responsible AI as a governance commitment, not just marketing. ## In the News **A near-weekly drumbeat of gigawatts, turbines, and campuses** Crusoe's newsroom reads like an energy company's as much as a cloud's. Recent months brought a 900 MW Abilene campus to support Microsoft, a ~750 MW power deal with Bergen Engines, a 12 GWh iron-air battery agreement with Form Energy, and a deeper NVIDIA collaboration across the full AI factory stack. The headlines that travel furthest, though, are the money and the milestones: the $1.375B Series E at a $10B+ valuation, the Abilene campus going live, and a Fast Company "Most Innovative" nod in 2026. ### Coverage - [Crusoe, the AI factory company, raising $1.375 billion at a valuation above $10 billion](https://www.crusoe.ai/resources/newsroom/crusoe-announces-series-e-funding) — Crusoe Newsroom (2025-10-24) - [Crusoe raises $1.375bn in latest funding round](https://www.datacenterdynamics.com/en/news/crusoe-raises-1375bn-in-latest-funding-round/) — Data Center Dynamics (2025-11-19) - [Crusoe raising Series E at $10B+ valuation](https://www.axios.com/pro/climate-deals/2025/10/23/crusoe-energy-10-billion-valuation) — Axios (2025-10-23) - [Crusoe’s Contracted AI Infrastructure Capacity Approaches 5 Gigawatts](https://www.crusoe.ai/newsroom) — Crusoe Newsroom (2026-06-09) - [Crusoe Announces New 900 MW AI Factory Campus in Abilene, Texas to Support Microsoft AI Infrastructure](https://www.crusoe.ai/newsroom) — Crusoe Newsroom (2026-03-27) - [Crusoe Achieves ISO 27001 and ISO 42001 Certifications](https://www.crusoe.ai/newsroom) — Crusoe Newsroom (2026-02-23) - [Crusoe Named to Fast Company’s Most Innovative Companies of 2026](https://www.crusoe.ai/resources/newsroom/crusoe-named-to-fast-companys-list-of-the-worlds-most-innovative-companies-of-2026) — Fast Company (2026-03-24) - [Crusoe launches Managed Inference, delivering breakthrough speed for production AI](https://www.crusoe.ai/resources/newsroom/crusoe-launches-managed-inference-delivering-breakthrough-speed-for-production-ai) — Crusoe Newsroom (2025-11-20) ## Outlook **The buildout is the strategy, and the risk** Crusoe is pouring capital into being the company that turns raw power into AI compute faster than anyone else, with contracted capacity nearing 5 GW and a pipeline past 45 GW. If AI demand keeps outrunning the grid, owning energy and data-center speed is a strong place to stand. The risk is the same size as the ambition. This is a capital-heavy, execution-heavy bet on a market still finding its price, and the reviews already hint at the strain of scaling this fast. The next proof point is turning contracted gigawatts into live, booked, paying capacity. ## Company details - **Mission:** Accelerate the abundance of energy and intelligence. - **Products:** Crusoe Cloud, Crusoe Managed Inference, AI Data Center Infrastructure, Crusoe Managed Kubernetes & Slurm, Crusoe AutoClusters, Crusoe Command Center - **Notable customers:** OpenAI, Oracle, Microsoft, Linum - **Customer segments:** AI-native startups, Enterprise AI teams, Research institutions, Hyperscalers / large labs, Government agencies - **Buyers / users:** ML / AI infrastructure engineers, Heads of AI / research, Platform and infrastructure leaders - **Competitors:** CoreWeave, Lambda, Nebius, AWS, Google Cloud, Microsoft Azure, Oracle Cloud - **What sets them apart:** Vertically integrated from energy sourcing to GPU cloud ("electrons to tokens"); Owns its power and data centers, not just servers; Energy-first: wind, solar, hydro, geothermal, and gas plus carbon capture; Access to scarce top-tier NVIDIA and AMD GPUs; Proprietary MemoryAlloy inference engine - **Tech stack:** NVIDIA GPUs, AMD GPUs, NVIDIA GB200 NVL72, NVIDIA HGX B200, AMD MI355X, AMD MI300X, NVIDIA BlueField-4, RDMA networking, Kubernetes, Slurm - **Integrations:** NVIDIA, AMD, KServe, KVM ## Open roles (363) - [GL Accountant](https://jobs.ashbyhq.com/crusoe/6717e397-4d2b-4d7a-bcf9-6c906920951d) — Denver, CO / United States - [Sustainability Director](https://jobs.ashbyhq.com/crusoe/cd2f8742-ea4b-4b4e-b2b3-4c21679fd872) — Denver, CO / United States - [Software Engineer I, Storage](https://jobs.ashbyhq.com/crusoe/4f5d34ed-0c05-4eec-b8f8-14663e114b02) — San Francisco, CA / United States - [Senior Treasury Analyst](https://jobs.ashbyhq.com/crusoe/1fafd160-b3e7-4033-9cd4-9b65e059a414) — Denver, CO / United States - [Senior Production Engineer, Managed Cloud](https://jobs.ashbyhq.com/crusoe/ba674f40-30b5-4145-8042-6137678e5f1f) — San Francisco, CA / United States - [Project Controls Analyst](https://jobs.ashbyhq.com/crusoe/8f37c344-5aa2-4dc3-9eb9-05c63d3d5581) — Denver, CO / United States - 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[Senior Manager, Technical Recruiting](https://jobs.ashbyhq.com/crusoe/9414f13c-b6db-49dc-9d25-6c20606addb5) — San Francisco, CA / United States - [Staff Quality Control (QC) Engineer](https://jobs.ashbyhq.com/crusoe/66f18f41-3317-4199-b574-c94a1caba1cf) — Abilene, TX / United States - [Software Engineer II, Crusoe Container Registry](https://jobs.ashbyhq.com/crusoe/a212b163-5f6b-42d6-9e93-5578ccb869df) — San Francisco, CA / United States - [Operations & Maintenance Technician III](https://jobs.ashbyhq.com/crusoe/05bb4d7b-fd9e-4bd9-a35c-8600ca9f7e6c) — Abilene, TX / United States - [Staff Network Production Engineer, Network Ops](https://jobs.ashbyhq.com/crusoe/5ccfccf7-90f3-4a06-a8cd-dc0d2550ed81) — Dublin, Ireland - [Sustainability Director](https://jobs.ashbyhq.com/crusoe/063d0b57-645a-4764-bdfc-7f7f91d6fcf3) — New York, NY / United States - [Engineering Manager, Crusoe Container Registry](https://jobs.ashbyhq.com/crusoe/119cc876-7e00-4ea3-8c93-e9dad7a43487) — San Francisco, CA / United States - 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[Senior Production Engineer, Core PE](https://jobs.ashbyhq.com/crusoe/ae9cb957-cbc2-4c1a-93e8-2d01ff0a2247) — Dublin, Ireland - [Staff Product Manager, Cloud Infrastructure (Networking)](https://jobs.ashbyhq.com/crusoe/32f99c76-f747-433b-87f0-07c96c48d5a7) — San Francisco, CA / United States - [Legal Counsel - Corporate](https://jobs.ashbyhq.com/crusoe/896d6b47-f4d8-4e7d-bd29-7d2d8e60a3e6) — New York, NY / United States - [Staff Software Engineer (Cloud Infrastructure)](https://jobs.ashbyhq.com/crusoe/f650cb2b-d20f-45a2-bdf1-af9ddec74116) — San Francisco, CA / United States - [Inventory Control Specialist](https://jobs.ashbyhq.com/crusoe/fdf5cdc6-30e8-4d08-a224-18c306fcb19d) — Tulsa, OK - [Commercial Operations Cost Manager](https://jobs.ashbyhq.com/crusoe/73ec1dae-a8f3-4d56-a20c-e9f0a2a061e3) — San Francisco, CA / United States - [Legal Counsel - Corporate](https://jobs.ashbyhq.com/crusoe/a33bb5fc-730d-4c6d-85d5-78f33477cde3) — Denver, CO / United States - [Senior Product Manager, Orchestration](https://jobs.ashbyhq.com/crusoe/708d1e0c-247f-43a8-9dc7-42cffbb95904) — San Francisco, CA / United States - 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