Built on Kubernetes, our platform meets the demanding needs of modern AI infrastructures. It provides powerful solutions for building, training, and optimizing AI models across on-premises, public cloud, or hybrid environments, enabling seamless management of GPU and compute resources.
Empowers organizations to efficiently manage and scale their GPU resources for machine learning and deep learning workloads. Our platform supports a wide range of GPU hardware, including both consumer-grade and enterprise-grade data center GPUs from Intel, NVIDIA, and AMD.
Delivers a comprehensive range of CPU compute solutions to support general-purpose workloads that don't require GPU acceleration. Our platform provides access to a vast scale of CPU-only instances, enabling you to effortlessly scale your CPU-based applications and data analysis tasks.
Provides a Kubernetes-native cloud infrastructure tailored for compute-intensive workloads, such as AI and model training. Our platform enables on-demand scaling of massive compute resources—CPU, RAM, and GPUs—within the same Kubernetes cluster.
Offers a powerful Virtual Server solution. Highly configurable compute, with a wide range of GPU options. Support for both Linux and Windows Virtual Servers, with pre-built images or ability to bring your own
Provides highly scalable, distributed and fault-tolerant storage solutions that can be easily integrated with their Kubernetes infrastructure and other cloud storage services.
Supports fast networking speeds and ability to directly control IP addresses and load balancing enables optimal performance for demanding workloads like AI and HPC with Kubernetes-based platform.