Datacenter
Our datacenter is engineered for the demanding computational requirements of modern AI workloads. This includes high performance GPUs, fast interconnects, extensive and redundant storage, and efficient power management systems.
Loading content...
Key Features
- Exascale computing capabilities
- 750 Terabit switching capacity
- Low-latency interconnects
- Sustainable power management
Case Study
Scaling Training for the Higgs Audio Family of Models
Our datacenter infrastructure was instrumental in training the Higgs Audio Generation and Understanding models, enabling us to train the entire family of models within less than a week.
10%
Reduction in training time due to optimized network (400Gb InfiniBand width SHARP)
10%
Increased energy efficiency due to cooler climate
50%
Cost reduction over 2nd tier cloud provider