Crusoe Energy named Visionary in 2026 Gartner Magic Quadrant for data-center energy optimization, validating technical and commercial leadership.

Crusoe was recently named a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure, evaluated on Completeness of Vision and Ability to Execute. The recognition reflects Crusoe's energy-first approach spanning data centers, compute, and the developer experience—a conviction that has driven the company's roadmap from the start: AI requires a cloud built for it end to end.

AI represents the most demanding and fastest-changing wave of computing workloads. Innovative organizations—AI natives and enterprises alike—face a common constraint: insufficient compute coupled with infrastructure complexity that impedes progress from model development to deployment. Crusoe Cloud is designed to eliminate both obstacles, enabling teams to focus on building the future faster. The company's AI Platform and Managed AI Services portfolio empowers infrastructure engineers and developers to accelerate their work.

Crusoe Cloud begins with the user, offering comprehensive Infrastructure-as-a-Service and Managed AI Services. Infrastructure engineering teams build with familiar tools, from the CLI and Terraform provider to the MCP server and APIs, on AI compute backed by both NVIDIA and AMD GPUs. For training and fine-tuning, the IaaS portfolio includes orchestration through Crusoe Managed Kubernetes—now powering more than 70% of the company's GPU fleet—and Crusoe Managed Slurm.

To empower AI developers, Crusoe Intelligence Foundry offers Crusoe Serverless Fine-Tuning, enabling engineers to customize open-weight models through curated recipes without managing underlying infrastructure. For model serving, Crusoe Intelligence Foundry offers Crusoe Managed Inference with deployment options including Serverless Inference, Self-Serve Deployment, and Tailored Deployment for customer-specific models. The platform runs on Crusoe's proprietary inference engine and MemoryAlloy™ technology, a cluster-native memory fabric that persists across nodes and eliminates redundant prefill for superior price performance. This throughline is described as the "architecture of immediacy"—collapsing the distance between data and compute while giving engineers deep control at every stage from build through training to serving.

Building on its data center roots, Crusoe offers unmatched deployment flexibility. Crusoe Edge Zones enable targeted use cases such as low-latency inference and function as dedicated regions where compute and data must reside for strategic, sovereignty, or regulatory reasons. The company holds ISO 27001 and ISO 42001 certifications, positioning it among the first AI cloud providers globally to hold both, covering information security practices and responsible AI governance.

Great infrastructure depends on the people behind it. Crusoe engineers work directly alongside customer teams and, because they run frontier-scale workloads themselves, bring hard-won expertise to every challenge. This engineering partnership is integral to the platform, with named engineers assigned to each account to help customers achieve the right balance of speed and throughput for their application needs.

All of this rests on energy. Crusoe builds high-density, AI-optimized data centers with energy-first design powered by large-scale, low-cost power. The company operates in Iceland, leveraging abundant geothermal energy. In Nevada, it partners with Redwood Materials to combine recycled EV batteries with solar power. Crusoe is expanding globally to meet demand where it exists, with new data center capacity in Norway—home to abundant hydroelectric energy—and in Israel, building on existing footprint across the United States and Iceland.

Designing from energy upward enables Crusoe to deliver high performance and pass real cost savings to customer teams through low-cost compute and zero egress fees. NVIDIA has validated this approach directly. Crusoe is a Reference Platform NVIDIA Cloud Partner, building on NVIDIA's validated reference design for AI at scale, and Crusoe Cloud recently earned an NVIDIA Exemplar Cloud achievement for large-scale AI training on NVIDIA HGX B200 systems, running eight frontier models across multiple precisions. Launched in June, Crusoe's Kimi K2.6 and Kimi K2.7 deployments—both leading open models—achieved state-of-the-art benchmarks on the Artificial Analysis leaderboard for response latency and output speed while running on Crusoe's inference engine.

What matters most is what builders ship on the platform. Companies including Cursor, Cognition, Fireworks, Luma AI, Hippocratic AI, 1X, and Nous Research are building the future on Crusoe.

Crusoe positions itself as the AI factory company, with a mission to accelerate the abundance of energy and intelligence. The company is committed to cloud AI infrastructure as its category and to building it for the long term. This Gartner placement marks a milestone. The roadmap ahead is more ambitious still, with investment across the platform and team to ensure engineers building the future have infrastructure that matches their speed.