NexGen Cloud
Contact SalesEnterprise AI cloud with sovereign, scalable NVIDIA GPU infrastructure
By Tanmay Verma, Founder · Last verified 21 Jun 2026
4.0k views
Added 26d ago
70/100Safe BetIn short
NexGen Cloud — Enterprise AI cloud with sovereign, scalable NVIDIA GPU infrastructure. Best for Enterprises needing sovereign AI cloud infrastructure in Europe or Canada, Large-scale AI model training requiring thousands of GPUs per cluster, Organisations with custom hardware/software requirements for AI factories. Contact Sales pricing.
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Editorial Verdict
Best for
Enterprises needing sovereign AI cloud infrastructure in Europe or CanadaLarge-scale AI model training requiring thousands of GPUs per clusterOrganisations with custom hardware/software requirements for AI factoriesTeams that value personalised support and managed KubernetesClients seeking flexible GPU procurement via Infrahub financing
Not ideal for
Individual developers or small teams needing instant, low-cost GPU accessUsers who prefer a fully self-service, no-human-interaction platformProjects limited to single GPU instances without cluster scalingOrganisations requiring public cloud in other regions (e.g., US, Asia)
NexGen Cloud is a strong choice for enterprises requiring sovereign, customised AI infrastructure with top-tier NVIDIA GPUs and dedicated support. Its three-tier product range — Hyperstack, Secure Private Cloud, and Infrahub — offers flexibility from on-demand GPU instances to fully managed superclusters. However, the lack of transparent pricing and limited data centre regions (Europe and Canada) may deter smaller teams or those needing low latency outside those areas. If you need a simple, transparently-priced GPU instance, consider alternatives like Lambda Labs or Vast.ai. For enterprise-grade sovereignty and scale, NexGen Cloud delivers.
Last verified: June 2026
Behind the Verdict
NexGen Cloud differentiates itself from hyperscalers by focusing on sovereign, high-performance GPU infrastructure tailored for enterprises. The platform's three products address diverse needs: Hyperstack for quick, on-demand GPU access with pay-per-use pricing; Secure Private Cloud for single-tenant, customisable superclusters with fully managed Kubernetes; and Infrahub Compute for financing and deploying physical hardware. As an NVIDIA Cloud Partner, NexGen Cloud offers cutting-edge GPUs like the HGX B300 and GB300 NVL72 with liquid cooling, and can scale to thousands of GPUs per cluster. Strengths include sovereign data centres in Europe and Canada powered by renewable energy, personalised support, and the ability to run proofs of concept. Weaknesses: pricing requires contacting sales, data centres are limited to Europe and Canada, no pre-built AI models or SaaS tools, and the enterprise focus may require minimum commitments. Ideal for large organisations with complex AI workloads that demand data sovereignty and dedicated support.
Skip NexGen Cloud if Skip NexGen Cloud if you need a simple, transparently-priced GPU instance with no human interaction, or if you require cloud regions outside Europe and Canada.
Latest from NexGen Cloud
Updated todayAcross the latest 5 updates: 5 news mentions.
NewsBlog·Feb 19Newest
Secure Private Cloud: Ensuring Compliance for EU and ...
Case study on how Secure Private Cloud helps EU financial services meet compliance requirements with sovereign AI infrastructure.
NewsBlog·Feb 10
How Enterprises Secure AI Workloads at Scale: From ...
Describes strategies for securing AI workloads, including network segmentation and encryption, tailored for enterprise deployments.
NewsBlog·Feb 3
Why Enterprises Must Invest in Cutting-Edge AI ...
Argues for investing in advanced GPU infrastructure to maintain competitive advantage in AI.
NewsBlog·Jan 8
The Impact of Green Data Centres on AI Infrastructure
Explains how NexGen Cloud's green data centres reduce environmental impact while delivering high performance.
NewsBlog·Dec 30
Before You Build a Foundation Model: What Enterprises ...
Outlines key readiness considerations for enterprises planning to build foundation models, covering compute and data strategy.
Viability Score
70/100
Safe BetHow likely is NexGen Cloud to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
70
website health
90
github activity
45
wrapper dependency
100
Last calculated: June 2026
How we score →About NexGen Cloud
NexGen Cloud is a UK-owned and EU-sovereign AI cloud provider delivering customised, scalable GPU infrastructure for AI model training, inference, and high-performance computing. It serves enterprises and AI practitioners who need secure, cost-effective, and high-performance cloud solutions with NVIDIA GPUs. The platform offers three core products: Hyperstack (instant, self-serve GPUaaS with on-demand Kubernetes and pay-per-use pricing), Secure Private Cloud (single-tenant, fully managed Kubernetes with custom hardware configurations, ideal for large-scale AI factories), and Infrahub Compute (financing, sourcing, and deploying physical compute hardware integrated with Hyperstack). Key differentiators include being an NVIDIA Cloud Partner offering the latest GPUs (e.g., NVIDIA HGX B300, GB300 NVL72 with liquid cooling), sovereign data centres in Europe and Canada powered by renewable energy, and the ability to scale to thousands of GPUs per cluster with hybrid cloud bursting. NexGen Cloud positions itself as the enterprise-grade alternative to hyperscalers, focusing on personalised support, cost efficiency, and data sovereignty.
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Key Features
- Instant self-serve GPU access via Hyperstack
- On-demand Kubernetes with one-click deployment
- Single-tenant Secure Private Cloud clusters
- NVIDIA HGX H100, H200, B300, GB300 NVL72 GPUs
- Liquid-cooled infrastructure for high-density compute
- Financing and deployment of physical compute (Infrahub)
- Custom hardware and software configurations
- Scalable to thousands of GPUs per cluster
- Hybrid cloud bursting for usage spikes
- Fully managed Kubernetes with 24/7 support
- EU and Canada data centres powered by renewable energy
- NVIDIA Cloud Partner ecosystem integration
- Proof of Concept (POC) environment for testing
- Migration support for Secure Private Cloud deployments
- Cost-effective pay-per-use pricing (Hyperstack)
Real-world workflow fit
Concrete scenarios for the personas NexGen Cloud actually fits — and what changes day-one when you adopt it.
Enterprise AI lead evaluating sovereign infrastructure
Schedule a discovery call to discuss requirements, then run a POC with Secure Private Cloud using custom hardware like NVIDIA GB300 NVL72.
Outcome: Validate that the single-tenant supercluster meets data sovereignty and performance needs, with fully managed Kubernetes and ongoing support.
ML engineer needing quick GPU access for prototyping
Sign up for Hyperstack, select an H100 on-demand instance, and deploy a model training job using one-click Kubernetes.
Outcome: Expedite prototyping without long-term commitment, paying only for compute used.
CTO planning AI hardware procurement
Use Infrahub Compute to finance and deploy physical hardware on-premises, then commercialise unused capacity via Hyperstack.
Outcome: Reduce upfront capital expenditure while maintaining control over hardware lifecycle.
Use Cases
- Train large language models with single-tenant GPU clusters for enterprise security.
- Deploy inference endpoints with low latency using on-demand NVIDIA H100 GPUs.
- Run high-performance computing workloads in a sovereign cloud environment.
- Migrate AI workloads to a renewable-powered infrastructure for ESG compliance.
- Build custom AI factory environments with full hardware and software flexibility.
Models Under the Hood
NVIDIA H100NVIDIA A100NVIDIA HGX H100NVIDIA HGX H200NVIDIA HGX B300NVIDIA GB300 NVL72NVIDIA GB200 NVL72
Limitations
Pricing details require contacting sales, making it less transparent for budget planning. Data centers are limited to Europe and Canada, which may increase latency for other regions. The platform is enterprise-focused, so smaller teams might find the minimum commitments restrictive. No pre-built AI models or SaaS offerings are available — you must bring your own software stack.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
—
Contact sales for a quote
Effective monthly
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published NexGen Cloud tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hyperstack On-Demand
Pay-as-you-go
Ideal for
Solo practitioners or teams needing instant GPU access for short-term projects, prototyping, or variable workloads without upfront commitment.
What this tier adds
Starting tier offering pay-per-use pricing with self-serve access to NVIDIA GPUs (H100, A100) and one-click Kubernetes deployment.
Secure Private Cloud
Custom quote
Ideal for
Enterprises requiring single-tenant, customised GPU superclusters with fully managed Kubernetes, ideal for large-scale AI training and sensitive data workloads.
What this tier adds
Adds single-tenant isolation, custom hardware (e.g., HGX B300, GB300 NVL72), and dedicated 24/7 support over the on-demand tier.
Infrahub Compute
Custom quote
Ideal for
Organisations wanting to own physical hardware with financing, then leverage Hyperstack for capacity utilisation or resale.
What this tier adds
Focuses on hardware financing and deployment rather than cloud consumption; integrates with Hyperstack for commercialisation.
Integrations
NVIDIA GPU Cloud (NGC)Kubernetes (K8s)Supermicro platformsAMD processorsSamsung memoryKioxia storage
Where the pricing makes sense
The company stage and team size where NexGen Cloud's pricing actually pencils out — and where peers do it cheaper.
Hyperstack's pay-per-use model is cost-effective for variable workloads, but lacks fixed plans. Private Cloud is custom-quoted, likely competitive for large-scale training vs AWS/Azure reserved instances, but opaque. For smaller teams, cheaper alternatives like Lambda Labs (fixed GPU pricing) or Vast.ai (marketplace) may provide better clarity.
Setup time & first value
How long it actually takes to get something useful out of NexGen Cloud — broken out by persona, not the marketing-page minute.
Hyperstack provides instant GPU access upon sign-up; one-click Kubernetes deployment can start within minutes. Secure Private Cloud requires a discovery call followed by custom configuration and POC, typically spanning weeks. Infrahub Compute involves sourcing and deployment over months.
Switching to or from NexGen Cloud
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From AWS or Azure: Use NexGen Cloud's migration support to move GPU workloads with minimal downtime.
- →From on-premise hardware: Infrahub Compute can finance and deploy new hardware, integrated with Hyperstack.
Migrating out
- ↗To AWS or Azure: Export data via standard cloud APIs; Hyperstack's open standards ease transition.
- ↗To another GPU provider: Migrate Kubernetes workloads with container images and manifests.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
- •February 2026: Published case study on Secure Private Cloud ensuring compliance for EU financial services.
- •December 2025: Blog post on 2026 AI compute trends including data sovereignty.
Resources & Guides
- Resourcenexgencloud.com
NexGen Cloud Blogs I Resources I NexGen Cloud
Read NexGen Cloud Blog for insights on AI, tech trends and industry leadership. Read articles on thought leadership, innovation and more.
- Resourcenexgencloud.com
Resources
Helpful link from nexgencloud.com
- Resourcenexgencloud.com
Documentation
Helpful link from nexgencloud.com
Frequently Asked Questions
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