Rankings/Crusoe
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Crusoe

NativePrivateUpdated November 3, 2026

AI-native cloud/data-center infrastructure (GPU cloud + power)

CEO
Chase Lochmiller
Founded
2018
HQ
Denver, United States
Total Funding
$9.8B
Employees
1001-5000
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AI Infrastructure
55.4Bluescore
Momentum—
Market MapLocked
Rank change (7d)-32

Products & Offerings

Crusoe Cloud

Cloud for AI workloads offering NVIDIA and AMD GPU compute, fast storage and RDMA networking, plus Managed Kubernetes, Managed Slurm and fault-tolerant AutoClusters.

PlatformEnterpriseFlagship

Crusoe AI Factories (data-center campuses)

Large AI data-center campuses that Crusoe develops and powers itself, including the Abilene Stargate site, Cheyenne with Tallgrass, and Childress with Lancium.

InfrastructureEnterpriseCore Platform

Crusoe Managed Inference

Managed model serving on Crusoe Cloud that supports bring-your-own models, with pay-per-token and provisioned-throughput pricing.

APIDeveloperLive2025

Crusoe Intelligence Foundry

Developer suite for serverless inference and serverless fine-tuning of open models; serverless fine-tuning reached general availability in 2026.

Developer ToolDeveloperHigh Growth

Crusoe Edge Zones (powered by Crusoe Spark)

Modular AI compute that brings sovereign, low-latency cloud capacity to almost any location, using MemoryAlloy caching to speed up inference.

InfrastructureEnterpriseEmerging2026

Executive Summary

What they do

  • Runs Crusoe Cloud, offering NVIDIA and AMD GPUs for AI training and inference
  • Builds and powers gigawatt-scale AI data-center campuses, including power generation
  • Sells managed AI services: inference, fine-tuning, Kubernetes, Slurm and AutoClusters

Why it matters

  • Builder of the first OpenAI Stargate campus in Abilene, Texas
  • Raised a $3.9B Series F at a $30.9B valuation in September 2026
  • Named a Visionary in Gartner's 2026 Magic Quadrant for Cloud AI Infrastructure

Best fit

  • AI labs and enterprises needing large reserved GPU clusters for training
  • Teams wanting managed inference and fine-tuning without running GPU operations
  • Organizations seeking sovereign or edge AI capacity through Crusoe Edge Zones

Watch-outs

  • Abilene expansion was dropped after financing issues and shifting OpenAI demand
  • A winter-weather outage affected liquid cooling at Abilene for several days in 2026
  • Pending IPO and heavy capex could shift pricing, priorities or contract terms

Latest News

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Analyst VerdictEvaluate

Crusoe is a credible, well-funded alternative to CoreWeave, Nebius, Lambda and hyperscaler GPU clouds. It is a good fit for buyers who need large GPU capacity backed by its own power sources. Do a structured evaluation that focuses on reliability SLAs, site redundancy and capacity commitments, because it had an Abilene outage and that campus's expansion was cancelled. Also confirm that serverless model lifecycles and deprecation timelines fit your production roadmap.

Signal Provenance

Latest observation date and source for each signal category

Signal CategoryLast UpdatedSource
Funding Signals
Last funding round, Funding stage
Nov 3, 2026Montclare research agents
Hiring Velocity
Headcount, Headcount growth
Nov 3, 2026Montclare research agents
Technical Output
Research papers, GitHub activity
Nov 3, 2026Montclare research agents
News Sentiment
News mentions, News sentiment
Nov 3, 2026Montclare research agents
Partnership Signals
Enterprise partnerships, Distribution partners
Nov 3, 2026Montclare research agents
Revenue Indicators
ARR estimate, Revenue growth
Nov 3, 2026Montclare research agents
Leadership Signals
CEO tenure, Founder-led
Nov 3, 2026Montclare research agents
Competitive Position
Category rank, Market share
Oct 30, 2026Montclare research agents

Why this Bluescore?

6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology

D1 · Business Model & Revenue (21%)
6.5
+13.5 of 21 pts · Top 15%
D2 · Product Depth (21%)
3.6
+7.5 of 21 pts · 28th pct
D3 · Data & Model Moat (19%)
5.0
+9.6 of 19 pts · 71th pct
D4 · Talent & Research (16%)
5.6
+9.0 of 16 pts · 67th pct
D5 · Customer Adoption (13%)
5.3
+6.9 of 13 pts · 50th pct
D6 · Investment Momentum (10%)
8.8
+8.8 of 10 pts · Top 3%

Risks

Heavy dependence on a few anchor tenants like OpenAI, Oracle and Meta
High
2026 multi-day weather-related cooling outage at Abilene raises site resilience questions
Medium
Capital-intensive gigawatt builds depend on continued financing and steady hyperscale demand
Medium
Intense competition from CoreWeave, Nebius, Lambda and hyperscalers pressures pricing
Medium
Serverless inference model deprecations may force migrations for production workloads
Low
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