Kao Data

Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.

WULF Compute provides purpose-built, future-ready data-centre infrastructure designed for high-power-density workloads, including AI and machine learning, delivering Tier III design hosting solutions that combine rapid deployment and customizable compute capacity. It features fully redundant 100 GB fiber connectivity together with dual 345 kV transmission lines for built-in power backup, and is located in strategic US sites where over 89% of grid power is derived from zero-carbon generation. The campuses support scalable, high-density critical IT load (e.g., up to 750 MW at the Lake Mariner campus) and are optimized for low-cost, sustainable power while offering secure, flexible, and compliant environments for advanced compute applications. WULF Compute offers both colocation and build-to-suit models, positioning itself as a secure, scalable platform for organizations seeking to deploy intensive compute workloads with high reliability.