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This Crusoe review is for teams running AI and machine learning workloads that need GPU power with an eye on energy. Crusoe is a US GPU cloud provider founded in 2018, with US data centers, some powered by stranded gas or renewables, offering GPU cloud computing and data center build out for AI. If you need serious GPU compute, this Crusoe review will help.
Key takeaways
- Crusoe is a specialist GPU cloud provider founded in 2018.
- It offers GPU cloud computing and AI focused data center build out.
- Some of its data centers use stranded gas or renewable energy.
- Best for teams running GPU heavy AI and machine learning workloads.
What is Crusoe?
Crusoe is a cloud company focused on GPUs for AI, machine learning and other compute heavy tasks. It started with an unusual idea: using stranded or flared gas to power compute, reducing waste. Over time it pivoted heavily into AI GPU cloud, building and operating data centers designed for large AI workloads, with an ongoing focus on energy efficiency and cleaner power.
The appeal is GPU power with a distinctive energy story. For AI teams that need lots of compute and care about how it is powered, Crusoe combines specialist GPU infrastructure with an energy conscious approach.
Crusoe features
The core offering is GPU cloud computing for training and running AI models, plus purpose built data centers for AI at scale. Crusoe provides the infrastructure and capacity that demanding machine learning workloads require, aimed at teams that need sustained GPU access rather than occasional bursts.
For AI and machine learning teams, that specialized GPU focus, combined with its energy approach, is the main draw. It is built around compute heavy work rather than general web hosting or standard cloud apps.
Crusoe pricing
Crusoe uses custom, enterprise pricing based on the GPUs and capacity you need. It is aimed at businesses and research teams running significant workloads, so you contact the company for a quote. Because GPU pricing and availability change with demand, check the official Crusoe site for current figures before planning a budget.
When comparing GPU clouds, weigh price, availability of the GPU models you need, and any commitments, since those drive the real cost for sustained AI workloads.
Pros and cons
On the plus side: a strong GPU focus for AI, purpose built AI data centers, an energy conscious approach using stranded gas or renewables, and scale for demanding workloads. For AI teams, that specialization stands out.
On the downside: it is a specialist GPU cloud, not a general web host, so it is the wrong choice for a normal website, pricing is custom, and it targets businesses and research teams. Match it to serious compute needs.
Who is Crusoe best for?
Crusoe is best for AI companies and machine learning teams that need substantial GPU compute and value an energy conscious approach. This Crusoe review is a strong match for that group. For hosting a normal website, a standard web host is the right choice.
Frequently asked questions
What is Crusoe used for?
Crusoe is used for GPU cloud computing, especially AI training and inference and other compute heavy machine learning workloads.
Is Crusoe energy focused?
Yes. Crusoe started by using stranded or flared gas for compute and continues to emphasize energy efficiency and cleaner power in its data centers.
How much does Crusoe cost?
Pricing is custom and enterprise based, depending on GPUs and capacity. Contact Crusoe for a quote.
Is Crusoe a web host?
No. Crusoe is a specialist GPU cloud for AI and compute heavy workloads, not a host for standard websites.
The bottom line
Crusoe is a strong specialist GPU cloud for AI teams that need serious compute with an energy conscious approach. For a standard website, choose a traditional host in our hosting reviews. For background on cloud computing, see Wikipedia.