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Non-hyperscaler
Compute AI & GPU Infrastructure

Quick Stats

Pricing Model
Pay-As-You-Go, Reserved / Committed Capacity, Spot Pricing(Note: HyperStack offers on-demand hourly pricing, reservation/committed pricing, and has a dedicated "Spot VMs" section. There is no evidence of a Free Tier or Freemium model.)
Customer Count
10k
Region
Canada, Norway, US (Texas)

About

HyperStack (NexGen Cloud) offers GPU cloud infrastructure optimized for AI and high-performance computing workloads. It stands out with transparent, pay-as-you-go pricing, no egress fees, and compatibility with major AI frameworks, making it ideal for scalable, cost-efficient AI development and deployment.

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Pricing Details

Hyperstack Cloud Pricing

Serverless, scalable, and AI-native cloud platform
Pricing Details
Contact Hyperstack for a custom quote
Request Pricing

Hyperstack does not publish public pricing on its website. Pricing is available upon request and tailored to your specific use case, scale, and requirements.

  • Contact the Hyperstack sales team for a personalized quote.
  • Custom plans may include compute, storage, AI/ML features, and support.

Note: No public pricing tiers or calculators are available as of February 2026. All pricing is determined on a case-by-case basis.

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Features
Compute On-demand access to NVIDIA H100, H200, A100, L40, and RTX A6000 GPUs for AI, ML, and HPC workloads.
Deployment 1-click VM and managed Kubernetes cluster deployment with pre-configured SKUs and custom build options.
Networking Ultra-fast, low-latency networking and high-speed storage designed for demanding workloads.
Compliance SOC 2 Type 1 certified infrastructure powered by 100% renewable energy in EU and North America data centers.
Key Offerings
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  • On-demand Cloud GPUs (NVIDIA H100, A100, L40, and more)
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  • AI Studio for building, training, and deploying custom AI models
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  • Managed Kubernetes for automated VM cluster deployment
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  • Object Storage for scalable data management
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  • Green Cloud infrastructure powered by 100% renewable energy
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Ideal Use Cases / Buyers
Workloads Generative AI inference, neural network model training, machine learning, deep learning (including computer vision and NLP), 3D rendering, game development, film production, data analytics (including real-time anomaly detection and video analytics), scientific and medical simulations, architectural and design visualizations, high-performance computing (HPC) for scientific and engineering workloads, and virtual workstations for remote access to demanding applications.
Buyers AI/ML engineers, data scientists, DevOps engineers, media & entertainment studios, game developers, scientific research organizations, medical researchers, architectural and design firms, and enterprises requiring GPU-accelerated computing in Europe and North America.
Integrations & Partners
Why Choose

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  • βœ… 100% renewable energy-powered infrastructure in European and North American data centres
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  • βœ… Up to 75% more cost-effective for high-demand workloads compared to legacy public cloud providers
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  • βœ… Ultra-fast, on-demand deployment of NVIDIA H100, H200, and A100 GPUs with minute-accurate billing
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  • βœ… Full-stack AI production platform with managed Kubernetes, object storage, and one-click deployment
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  • βœ… Enterprise-grade features including role-based access control, custom VM flavours, and a robust API

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