Efficiency by design
Efficient computing is the foundation for sustainable AI. By optimizing how we use energy use and allocate resources, we keep costs under control, reduce waste, and deliver performance at scale, without treating those goals as trade-offs.
The energy behind AI: Why power efficiency matters
The energy behind AI: Why power efficiency matters
In our latest whitepaper, we explain how Nebius improves efficiency across the stack, from software engineering to hardware design and data center operations.
Efficiency compounded across every layer
By owning the full stack, we embed sustainable innovation into the very fabric of our technology.
Servers designed in-house
We design our own servers and racks in-house to optimize for efficiency, reliability, longevity and ease of operation.
Read more about our servers and racks.
Facilities that reuse, not waste
Purpose-built data centers, with efficiency engineered into every detail, from layout to day-to-day operations.
Read more about our greenfield data center in Finland.
More AI per watt
Workload management tools optimize across model, cluster, and fabric layers, cutting idle capacity and converting more power into compute.
Heat, reused: How Nebius turns heat waste into a community resource
Heat, reused: How Nebius turns heat waste into a community resource
In our latest video, we explain how our Mäntsälä data center captures heat from our servers and feeds it directly into the local municipal heating network.
See also
Unlocking opportunity in the AI economy
From local communities to frontier researchers, we work to make AI more accessible, through programs, partnerships and education. From cloud credits for startups to training and upskilling for the AI workforce.
Reliability, resilience, and trust
Critical workloads need infrastructure that doesn’t fail. We deliver that by implementing robust governance and controls, by listening proactively to what customers need and giving users built-in tools to manage their own systems.