In a world where data powers innovation, certifications play a critical role in ensuring consistent quality, security, and compliance. For mission critical workloads, confidence in the underlying infrastructure is essential. For AI and machine learning workloads, certifications ensure that the data center environment can meet the demands of high-performance computing reliably and securely.

By now we’ve all seen NVIDIA’s announcement at GTC 2025 about the Rubin Ultra racks that are expected to hit 600 kilowatts per rack by the end of 2027. This is exciting news for organisations. These new densities will underpin the next phase of AI, speeding up decision-making, reducing R&D cycles and delivering substantial efficiency gains.

Data centers are evolving quickly, with the advent of LLM and the need for bigger, more powerful chips. Traditional data centers with their central processing units (CPUs) managed around 12 kilowatts (kW) per rack. However, AI data centers are trending upwards quite rapidly as graphics processing units (GPUs) begin to dominate the scene while becoming increasingly more powerful. This trend is accelerating quickly. Nvidia’s H100 chip has a rack density of 41 kW, while the successor Blackwell chip has an expected rack density of 130 kW, and future chips may drive rack densities of 250 kW. More capacity and electricity consumption will create significantly more waste heat, making it more challenging to maintain an optimal temperature of between 21 and 24 degrees Celsius.

Sustainability has always been a part of our DNA here at Verne. Our Nordic locations give us a tremendous advantage, but we don’t take that for granted. We are always looking at innovative ways to minimise the environmental impact of our data center operations.