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The Units
Capacity
Redundancy
N+1, N+2, N+3 and N+X available
All units, power and fiber are set up with redundancy unless otherwise agreed with the end client
Depth Rating
We can sit at depths of up to 3000M/12000FT
We can deploy in shallow waters of around 10FT (tide factored in)
Rack Density
Our first-generation units support 125kW per rack
Lead Times
We can build and install a unit in as little as 12 weeks
We build in-house and can produce 20 per month for a single project/client
Scalability
We provide rapid development and rapid deployment seamlessly – way beyond what is possible on land. We benefit from a swift infrastructure delivery model, and we have no true upper limit on deployment numbers. We are infinitely scalable near densely populated areas
Latency
Data centers tend to go where power and land are cheaper, but that's not always where the users are – this results in latency. More than half the world's population live by the coast. Being closer to the coast therefore reduces latency due to the rate that signals travel. Ultimately, this means consumers get a boost in performance
Use Cases
The units can be used as edge data centers, internet exchange points, as well as for private tenants and also as co-location centers
Clients can build their own data centers to meet specific requirements without all of the costs
Connectivity, power, and security are already provisioned
Modular data centers also offer a flexible, efficient, and scalable infrastructure that aligns well with the dynamic requirements of AI applications, using less resources and gaining performance advantages. AI cannot be facilitated as sustainably with any other solution on the market today.
Connectivity, power, and security are already provisioned
Modular data centers also offer a flexible, efficient, and scalable infrastructure that aligns well with the dynamic requirements of AI applications, using less resources and gaining performance advantages. AI cannot be facilitated as sustainably with any other solution on the market today.
Infrastructure
Subsea cables transmit more than 95% of the world’s telecom traffic and have never been more critical to global communications.
Underwater, fully sustainable data center units, connected directly into subsea cables, change how we can bring connectivity to nations, companies and people around the world
Underwater, fully sustainable data center units, connected directly into subsea cables, change how we can bring connectivity to nations, companies and people around the world
Servers
Subsea Cloud can provide servers, or the client can provide their own
In some instances we use our partners to supply servers. Other times, we purchase servers and use a partner for the NOC and SOC. Other times, clients bring their own servers and simply rent power, space and connectivity
In some instances we use our partners to supply servers. Other times, we purchase servers and use a partner for the NOC and SOC. Other times, clients bring their own servers and simply rent power, space and connectivity
The Metrics
Maintenance
Maintenance of a unit is accomplished in multiple ways: Generally speaking, should physical maintenance be required, we can retrieve a unit(s) within 2h of reaching the site
Installing new servers periodically is included
Installing new servers periodically is included
Immersion
Liquid cooling is far more efficient than air cooling due to thermal conductivities. Compared to air, water has a higher heat-carrying capacity – about 3500 times as high
We submerge our servers in a non-conductive fluid
We submerge our servers in a non-conductive fluid
CO2
Our design benefits from passive, free cooling. There is a potential annual saving of 768MWh per year and hundreds of tons of carbon per deployed pod, per year
We also circumvent emissions from sources that are not owned and not directly controlled by us, but are related to the our activities
Water
Data centers are one of the largest energy consuming asset class in the world. Very few asset classes have the global reach and growth trajectory that data centers do. Our innovative data centers eliminate the need for water usage
An average on-land data center can use between 3-5Million gallons of water per day, and about half is estimated to be drinking water
We don't use any water
We don't use any water
Minimum Deployment
There is no minimum deployment, but we start to see economies of scale at around 20 units in a single deployment
Maximum Deployment
The maximum deployment is around 700MW in a single location. This can vary, but is generally our standard, with the limiting factor being the power supply
Lifespan
The lifespan of each unit is between 25-30 years. This is achieved via material selection and anti-corrosion methods
The lifespan of the servers differs, but switching them out is covered in the costs
The Costs
CAPEX
Conservatively speaking, to get 1MW up and running on land costs around $7Million dollars (USD). To do the same subsea is around $1Million dollars
OPEX
Due to the elimination of electrically driven cooling and when co-located with a renewable power, the operational costs go down. In some cases OPEX is reduced by as much as 40%
Environmental Costs
Placing the units into water is generally better for the environment. The units reduce the power required, eradicate water use and do not heat their surroundings
Traditional data centers use millions of gallons of water each day and produce astonishing amounts of CO2. At subsea Cloud, we use zero water, zero refrigerants and zero harmful chemicals
Every pod we put in the water prevents CO2 from being emitted. Fitting into the overall subsea ecosystem is of the utmost importance to us. We colocate with all types of renewable infrastructure, consuming renewable power exclusively by 2031
Every pod we put in the water prevents CO2 from being emitted. Fitting into the overall subsea ecosystem is of the utmost importance to us. We colocate with all types of renewable infrastructure, consuming renewable power exclusively by 2031
Community Costs
Traditional vs Subsea - Resources: Because subsea data centers use less precious resources, such as water, they are less of a burden to their local areas
For us, data center production/manufacturing plays a significant role by also creating jobs in smaller communities. Small cities have a high quality of life when they have a strong sense of identity; but a small city with no defined industry often has a hard time supporting a broad range of goods and services, and it can actually reduce the quality of life. One of the things we take into our calculus when choosing where to produce is knowing if we can help create an economic development plan that maximizes a city’s strengths
Data centers are an underpinning of the internet, but they can also be used as a tool for good in communities outside of their functional value to us as internet users
For us, data center production/manufacturing plays a significant role by also creating jobs in smaller communities. Small cities have a high quality of life when they have a strong sense of identity; but a small city with no defined industry often has a hard time supporting a broad range of goods and services, and it can actually reduce the quality of life. One of the things we take into our calculus when choosing where to produce is knowing if we can help create an economic development plan that maximizes a city’s strengths
Data centers are an underpinning of the internet, but they can also be used as a tool for good in communities outside of their functional value to us as internet users
Tax Revenue
There is another type of benefit of having these smaller subsea data centers in your specific area: they are fiscally beneficial. They can generate taxes and even jobs by attracting new businesses
The Benefits
Performance
Subsea data centers provide low latency, efficient solutions. They can also reduce CO2 emissions and power requirements
They have a low thermal footprint, use zero water, refrigerants or harmful chemicals
They can be used in all the same ways traditional data centers can, but are a new paradigm in submarine network architecture. They are better, faster, less expensive and more sustainable
They have a low thermal footprint, use zero water, refrigerants or harmful chemicals
They can be used in all the same ways traditional data centers can, but are a new paradigm in submarine network architecture. They are better, faster, less expensive and more sustainable
Price
We can't be beaten on price. It costs more to build and deploy on land.
Market Ready
The units can accommodate today's digital worlds
All units are AI/ML-ready. They have the highest rack density (125kW per rack),highest performance and lowest cost, PUE and WUE on the market today
Due to the elimination of electrically driven cooling and when co-located with a renewable power, the operational costs go down. In some cases OPEX is reduced by as much as 40%
Modular data centers also offer a flexible, efficient, and scalable infrastructure that aligns well with the dynamic requirements of AI applications, using less resources and gaining performance advantages. AI cannot be facilitated as sustainably with any other solution on the market today.
All units are AI/ML-ready. They have the highest rack density (125kW per rack),highest performance and lowest cost, PUE and WUE on the market today
Due to the elimination of electrically driven cooling and when co-located with a renewable power, the operational costs go down. In some cases OPEX is reduced by as much as 40%
Modular data centers also offer a flexible, efficient, and scalable infrastructure that aligns well with the dynamic requirements of AI applications, using less resources and gaining performance advantages. AI cannot be facilitated as sustainably with any other solution on the market today.
Artificial Intelligence
AI cannot be facilitated as sustainably with any other solution on the market today.
Each unit is equipped for AI/ML applications, with leading PUE and WUE metrics. By removing electrically driven cooling and pairing with renewable power sources when co-located, operational costs decrease significantly, with potential OPEX reductions of at least 40%.
Each unit is equipped for AI/ML applications, with leading PUE and WUE metrics. By removing electrically driven cooling and pairing with renewable power sources when co-located, operational costs decrease significantly, with potential OPEX reductions of at least 40%.
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