About Hyperstack

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> <revenue_model> Hyperstack generates revenue through a pay-as-you-go pricing model for GPU virtual machines, with hourly rates varying based on the GPU model and reserved pricing options available. For example, NVIDIA H100 SXM 80GB instances are offered at $3.00 per hour, with reservation pricing starting from $2.25 per hour. </revenue_model> ```

What does Hyperstack do?

Where is Hyperstack located?

Hyperstack is based in San Francisco, United States.

When was Hyperstack founded?

Hyperstack was founded in 2021.

Location

San Francisco, United States

Founded

2021

Employees

5 employees

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Hyperstack

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Executive Summary

hyperstack.cloud 5K+

Founded 2021 – San Francisco, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

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.

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

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.

Revenue Model

Hyperstack generates revenue through a pay-as-you-go pricing model for GPU virtual machines, with hourly rates varying based on the GPU model and reserved pricing options available. For example, NVIDIA H100 SXM 80GB instances are offered at $3.00 per hour, with reservation pricing starting from $2.25 per hour.