Hyperstack is a self-service GPU cloud platform that enables users to deploy between 8 and 16,384 NVIDIA H100 SXM GPUs for high-performance computing, machine learning, and data analytics. The platform addresses the need for scalable, cost-effective GPU resources, allowing businesses to efficiently manage demanding workloads without the constraints of traditional cloud providers.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations require access to high-performance computing resources, specifically GPUs, to handle demanding workloads in areas like machine learning, data analytics, and scientific simulations. Traditional cloud providers can be expensive and may not offer the specialized hardware configurations needed for optimal performance. This creates a barrier to entry for many businesses and researchers who need scalable, cost-effective GPU resources.
Solution
Hyperstack provides a self-service GPU cloud platform that allows users to deploy virtual machines with a range of NVIDIA GPUs, including H100, A100, L40, and RTX A6000/A40. The platform offers on-demand Kubernetes and a pay-as-you-go pricing model, enabling users to scale resources up or down as needed and only pay for what they use. Hyperstack's virtual machines are designed for accelerated AI, rendering, machine learning, data analytics, and high-performance computing, with ultra-fast networking and storage. The platform also offers features like one-click deployment, pre-configured SKUs, role-based access control, and a first-class API.
Target Audience
The primary target audience includes businesses, researchers, and developers in fields such as AI, machine learning, data science, and scientific computing who require scalable and cost-effective access to high-performance GPU resources.
Features
- Access to NVIDIA H100 SXM, H100 PCIe, A100, L40, and RTX A6000/A40 GPUs
- On-demand Kubernetes for automated software deployment, scaling, and management
- Pay-as-you-go pricing model with billing accurate to the minute
- Ultra-fast networking and storage for demanding workloads
- One-click deployment and pre-configured SKUs for easy setup
- Role-based access control for secure resource management
- First-class API for programmatic control of resources
- Managed Kubernetes service
- Support for custom-built flavors
- Resource callbacks
- Ability to logically organize VMs into environments