Hyper AI
Hyper AI · Coding
Hyper AI (HyperAI) is an enterprise GPU cloud that rents dedicated NVIDIA nodes in an Amsterdam Tier III+ datacenter, with A100, L4, H200 and RTX 6000 Pro cards for AI teams that need steady capacity.
About Hyper AI
What Is Hyper AI
Hyper AI is a European NVIDIA GPU rental provider that sells dedicated GPU infrastructure rather than shared, on-demand slices. Its machines run NVIDIA accelerators inside a Tier III+ facility in Amsterdam, and each node pairs the GPU with AMD EPYC Turin or Genoa cores, local NVMe storage, and a 10 Gbps unmetered network port. You rent the hardware by the month, not by the second.
The platform targets companies that run AI in production and care about where the data sits. That includes financial services, healthcare and life sciences, research institutions, defense and public sector teams, and labs training their own foundation models. The pitch is less about the lowest headline rate and more about single-tenant nodes, a 99.9% uptime commitment, and procurement terms that a large organization can actually sign.
The biggest constraint is flexibility. Hyper AI doesn't offer the instant, pay-as-you-go scaling that hyperscalers do, so it fits steady workloads better than short experiments. Everything runs in one Netherlands region, and monthly contracts start at €500, which rules out hobby projects.
Getting Started
- Request a quote through the Hyper AI site and describe your workload, model size, and timeline.
- Pick a GPU and a configuration tier, from a single A100 or L4 instance up to a reserved multi-node H200 cluster.
- Sign the agreement, then have your team provision access through SSO, SAML, or OIDC with role-based controls.
- Deploy your training, fine-tuning, or inference stack on the isolated node and start running jobs.
Product Information
A quick look at Hyper AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Enterprise AI teams
- Regulated industries
- Foundation model labs
- Research institutions
Tasks
- Large-scale model training
- Production inference
- Fine-tuning
- Long-context inference
Scenarios
- Moving a steady workload off a hyperscaler
- Meeting a data residency rule
- Sleeping a cost problem
- Scaled-up enterprise deployment
Key features
Dedicated GPU Nodes
Every Hyper AI server is single-tenant, so no other customer shares the card or the memory bus. The lineup spans the Ampere A100 with 80 GB of HBM2e for memory-heavy training, the Ada Lovelace L4 for power-efficient inference, the Blackwell RTX 6000 Pro with 96 GB of GDDR7 ECC, and the Hopper H200 with 141 GB of HBM3e. Configurations run from a single instance to a reserved multi-node cluster.
Fixed Monthly Pricing
Hyper AI charges per month rather than per second, and the rate covers the full node, not just GPU time. Four configuration tiers scale vCPU cores, system RAM, and storage around the same GPU: Standard, Balanced, Performance, and Extreme. Annual and multi-year contracts bring additional discounts on request.
Amsterdam Tier III+ Datacenter
All capacity sits in a Tier III+ certified facility in the Netherlands with redundant power and cooling. The location gives European teams low-latency access and keeps processing inside the EU, which matters for organizations that answer to European data rules.
10 Gbps Unmetered Network
Each deployment includes a 10 Gbps virtual port with unmetered traffic under fair use, one public IPv4 address, and a free IPv6 /64 block on request. Teams moving large training datasets between storage and nodes get bandwidth that doesn't bill by the gigabyte.
Enterprise Security Controls
Hyper AI builds its controls around the requirements regulated industries operate under. Access runs through SSO with SAML and OIDC, SCIM provisioning, role-based access control, and full audit logging. Data is encrypted at rest and in transit, with customer-managed keys and private networking available on every deployment.
SLA and Named Support
Hyper AI backs capacity with a 99.9% uptime commitment, service credits, and transparent incident reporting. Each customer gets a named technical account manager rather than a tiered ticket queue, along with 24/7 on-call engineers.
Procurement and Billing
The platform is set up for how large organizations actually buy. Custom MSAs, DPAs, NET-30 or NET-60 invoicing, and direct enterprise billing are available, so teams don't need a credit card to start. Reserved capacity contracts come with guaranteed allocation and fixed pricing.
Pros and cons
Pros
- Single-tenant nodes mean no shared GPU memory or noisy neighbors
- Fixed monthly rates cover the whole machine, not just GPU hours
- The Amsterdam datacenter handles European data residency without extra work
- Enterprise access controls, audit logging, and SLA terms are in place from day one
- Unmetered 10 Gbps networking keeps large data transfers predictable
Cons
- The €500 monthly entry price is steep for individuals and small teams, and there's no free trial
- No instant per-second scaling means short experiments cost more than they would on an on-demand cloud
- All capacity sits in one Netherlands region, which adds latency for teams outside Europe
- The product only offers bare GPU nodes, so you build and manage your own AI stack on top
Frequently asked questions
Hyper AI is an AI compute platform that rents dedicated NVIDIA GPU servers by the month for AI work, mainly training, fine-tuning, and inference. Teams use it when they need guaranteed capacity in a single-tenant environment rather than on-demand cloud slices.
Related content
Explore related tools, skills, and articles for Hyper AI.
Hyper AI Alternatives
Base Code
Base44 (Wix) · Coding · ProductivityBase Code is a shared cloud development environment from Base44. Teammates describe changes to an existing GitHub codebase in chat, preview them live and send them back as pull requests.
Google EmbeddingGemma 2
Google DeepMind · Writing · Image · CodingGoogle EmbeddingGemma 2 is a 740M-parameter open model that turns text, code, images, audio, and video frames into vectors in one 768-dimension space, running on phones and laptops.
GitGlow
GitGlow · Coding · ProductivityGitGlow is a local-first desktop Git client that lets independent developers review their own code and their AI agents' changes in one place before shipping.