# Hyperstack

**Source:** https://www.startuphub.ai/startups/hyperstack
**Profile type:** Startup

> GPU-as-a-Service platform for AI training, inference, rendering, and HPC workloads.

## About

Hyperstack is NexGen Cloud's GPU-as-a-Service platform, launched in 2023 and headquartered in London. It provides on-demand access to NVIDIA GPUs for AI training, inference, and HPC workloads, operating data centers across Europe and North America on 100% renewable energy. The platform aims to make enterprise-grade GPU infrastructure accessible, scalable, and affordable for innovators and organizations globally.

## Key facts

- **Slug:** hyperstack
- **Website:** https://hyperstack.cloud/
- **Location:** London, United Kingdom
- **Founded:** 2021
- **Operating status:** Active
- **Sectors / tags:** GPU-as-a-Service, Cloud Computing, AI Infrastructure, High-Performance Computing, Machine Learning, Rendering, Generative AI, Large Language Models, NVIDIA GPUs, Sustainable Cloud
- **Social:**
  - Twitter: https://twitter.com/Hyperstackcloud
  - GitHub: https://github.com/NexGenCloud

## Frequently asked

### What does Hyperstack do?

Hyperstack is NexGen Cloud's GPU-as-a-Service platform, launched in 2023 and headquartered in London. It provides on-demand access to NVIDIA GPUs for AI training, inference, and HPC workloads, operating data centers across Europe and North America on 100% renewable energy. The platform aims to make enterprise-grade GPU infrastructure accessible, scalable, and affordable for innovators and organizations globally.

### What is Hyperstack's valuation?

StartupHub estimates Hyperstack's effective valuation at $337.7M (range $236.4M to $439.0M, 40% confidence), based on comparable companies in the sector.

### Where is Hyperstack headquartered?

Hyperstack is headquartered in London, United Kingdom.

### When was Hyperstack founded?

Hyperstack was founded in 2021.

### What industry does Hyperstack operate in?

Hyperstack operates in GPU-as-a-Service, Cloud Computing, AI Infrastructure, High-Performance Computing, Machine Learning, Rendering.

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