NexGen Cloud is live · usage-based pricing · last verified 4 Nov 2026 · viability monitor
NexGen Cloud
EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud.
NexGen Cloud earns a shortlist slot when sovereignty is the constraint, not cost. Liquid-cooled GB300 NVL72 and HGX B300 capacity in EU and Canadian data centres, wrapped in a POC-before-contract process, narrows the field fast for regulated buyers. Benchmark on Hyperstack's H100 and A100 instances first — that's the cheap way to decide whether the private-cloud step is worth it.
Verdict generatedVerified 10d ago · liveness 69/100 · cite: rightaichoice.com/tools/nexgen-cloud
- Regulated EU and Canadian enterprises in finance and healthcare needing sovereign AI infrastructure
- Large-scale AI training needing clusters that scale to thousands of GPUs
- Teams that want liquid-cooled B300 or GB300 NVL72 capacity in Europe
- Organizations that would rather buy a fully managed Kubernetes cluster than build a DIY stack
- Individual developers hunting the cheapest per-hour GPU with instant self-checkout
- Projects that require US cloud regions or a US-owned data centre footprint
- Small single-GPU workloads that can't justify single-tenant infrastructure
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Skip NexGen Cloud if you need a US-region GPU footprint, run AMD Instinct or TPU hardware, or just want a single cheapest-per-hour GPU without a discovery call and POC.
Custom single-tenant configurations are quoted per deal, so the larger the cluster and the more bespoke the software stack, the further the final contract moves from any published on-demand rate.
NexGen prices in two lanes: Hyperstack on-demand is pay-as-you-go against published per-GPU rates, sized for teams benchmarking a workload; Secure Private Cloud and Infrahub Compute are custom-quoted multi-GPU commitments sized for enterprise AI factory builds. Compared with AWS or Azure GPU instances, you trade self-service breadth and global regions for EU/Canada residency, B300-class hardware and a named account team.
In short
NexGen Cloud — EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud. Best for Regulated EU and Canadian enterprises in finance and healthcare needing sovereign AI infrastructure, Large-scale AI training needing clusters that scale to thousands of GPUs, Teams that want liquid-cooled B300 or GB300 NVL72 capacity in Europe. Priced by usage — see the pricing table.
No head-to-head comparison for NexGen Cloud yet — the alternatives below are the closest matches we list.
What is NexGen Cloud?
NexGen Cloud — EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud. Best for Regulated EU and Canadian enterprises in finance and healthcare needing sovereign AI infrastructure, Large-scale AI training needing clusters that scale to thousands of GPUs, Teams that want liquid-cooled B300 or GB300 NVL72 capacity in Europe. Priced by usage — see the pricing table.
NexGen Cloud is a UK-owned AI cloud provider selling GPU capacity out of renewable-energy data centres in Europe and Canada, positioned squarely at enterprises that need NVIDIA silicon without a US-owned footprint. It runs three products. Hyperstack is the self-serve GPUaaS arm — instant access, one-click deployment, on-demand Kubernetes and pay-as-you-go billing on NVIDIA H100 SXM, H100 PCIe and A100 instances at published on-demand rates. Secure Private Cloud is the enterprise tier: single-tenant clusters with fully managed Kubernetes, custom hardware and software configurations, scaling to thousands of GPUs with on-demand bursting for usage spikes. Infrahub Compute finances, sources and deploys the physical hardware underneath — NVIDIA GPUs, AMD processors, Samsung memory and Kioxia storage on Supermicro platforms — and commercialises it through Hyperstack. The hardware roster is where the enterprise pitch lands. As an NVIDIA Cloud Partner, NexGen lists NVIDIA HGX B300, liquid-cooled GB300 NVL72, GB200 NVL72 and HGX H100/H200 clusters. Every Secure Private Cloud engagement follows a five-stage process: discovery call, tailored configuration proposal, a proof of concept on a customised environment, personal onboarding with migration support, then ongoing support. Who it's for: regulated finance and healthcare buyers in the EU and Canada who need data residency, teams that want liquid-cooled B300 or GB300 NVL72 capacity inside Europe, and organisations that would rather buy a managed Kubernetes cluster than assemble a DIY stack. Hybrid and multicloud integration support covers the migration path. Against AWS and Azure, NexGen competes on sovereignty and a named account team rather than the lowest hourly rate — and Hyperstack gives you a self-serve route to benchmark H100 and A100 capacity before committing to single-tenant infrastructure.
Key features
- Self-serve GPU cloud access via the Hyperstack GPUaaS platform
- One-click deployment for cloud workloads
- On-demand Kubernetes on Hyperstack
- Pay-as-you-go billing on on-demand GPU instances
- NVIDIA H100 SXM, H100 PCIe and A100 on-demand instances
- NVIDIA HGX B300 GPU clusters for enterprise AI training
- Liquid-cooled NVIDIA GB300 NVL72 clusters
- NVIDIA GB200 NVL72 clusters
- NVIDIA HGX H100 and HGX H200 clusters
- Single-tenant Secure Private Cloud for enterprise AI factories
- Fully managed Kubernetes on single-tenant clusters
- Clusters scaling to thousands of GPUs per cluster
- On-demand workload bursting for usage spikes
- Custom hardware and software configuration aligned to workload
- Hybrid and multicloud migration and integration support
Behind the verdict
Start with the constraint, not the price sheet. If your legal team has already ruled out US-owned infrastructure, NexGen Cloud is one of a small number of European operators that can put HGX B300 and GB300 NVL72 iron behind a contract. That alone justifies the discovery call. The two-tier structure is the smart part. Hyperstack lets you spin up H100 SXM, H100 PCIe or A100 capacity on-demand to benchmark a model or a pipeline, then step up to Single-tenant Secure Private Cloud when the workload stabilises. We'd reach for the self-serve tier first, every time — committing to custom hardware before you've measured throughput on your own code is how budgets die. Where Secure Private Cloud genuinely differs from renting hyperscaler instances: fully managed Kubernetes on single-tenant clusters, scaling toward thousands of GPUs, plus on-demand bursting when a training run outgrows your reserved capacity. That bursting clause matters more than the headline GPU count for anyone with spiky workloads. Pass on NexGen if you want the cheapest per-hour GPU with instant checkout and no sales call. Pass if you need US regions, if your stack is standardised on AMD Instinct or TPU accelerators, or if you're running a single-GPU workload that can't justify single-tenant infrastructure. The closest alternative is other EU-sovereign GPU providers, and the comparison usually comes down to which accelerator generation they can actually deliver on your timeline. Ask for benchmark data and a POC slot before signing anything — the vendor publishes performance benchmarks and case studies, so hold them to those numbers in your own environment.
Models under the hood
as of 2026-11-08
Limitations
- The private-cloud/secure tier is engaged through contact sales and a discovery call rather than straightforward self-checkout, so procurement is consultative for enterprise deployments.
- The published regions are Europe and Canada, so latency-sensitive workloads serving other regions may need a provider with closer data centres.
- The GPU roster shown on the site is entirely NVIDIA (HGX B300, GB300 NVL72, GB200 NVL72, HGX H100/H200, H100 SXM, H100 PCIe, A100), so shops standardised on non-NVIDIA hardware have no listed path.
as of 2026-10-21
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Is NexGen Cloud still active?
NexGen Cloud is live · usage-based pricing · last verified 4 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is NexGen Cloud? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about NexGen Cloud?
What people actually say about NexGen Cloud — is it worth it?
We scanned public community sources for NexGen Cloud on Oct 12, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to NexGen Cloud. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about NexGen Cloud — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified NexGen Cloud 23 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed domain expiry
- — changed who it suits, who should skip it, pricing tiers, summary, features, our verdict, description
- — changed limitations
- — changed use cases, limitations, our verdict, who should skip it, switching in, summary, features, setup time, hidden costs, who it suits, pricing fit, integrations, description, pricing tiers, switching out
- — changed integrations, pricing tiers, description, summary, our verdict, who it suits, features, who should skip it
- — changed pricing tiers
Showing the 6 most recent of 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does NexGen Cloud cost in 2026?
NexGen Cloud: Priced by usage — see the pricing table. Pricing last verified 4 Nov 2026.
Plans compared
Every published NexGen Cloud tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Hyperstack On-Demand | Usage-basedVendor: “Pay-as-you-go (published rates on the On-Demand GPU…” | usage | Teams and practitioners who want to benchmark a workload on NVIDIA H100 SXM, H100 PCIe or A100 instances before committing to a contract.Adds: Starting tier: pay-as-you-go billing on self-serve instances with on-demand Kubernetes and one-click deployment. |
| Secure Private Cloud | Custom | quote | Regulated EU or Canadian enterprises that need single-tenant isolation and clusters scaling to thousands of GPUs, priced per engagement.Adds: Adds single-tenant fully managed Kubernetes, custom hardware and software configuration, on-demand bursting and hybrid or multicloud migration support over self-serve Hyperstack. |
| Infrahub Compute | Custom | quote | Organizations that want the physical hardware financed, sourced and deployed rather than consuming someone else's shared capacity.Adds: Adds hardware financing and deployment — NVIDIA GPUs, AMD processors, Samsung memory and Kioxia storage on Supermicro platforms — operated by NexGen and commercialised through Hyperstack. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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.
NexGen prices in two lanes: Hyperstack on-demand is pay-as-you-go against published per-GPU rates, sized for teams benchmarking a workload; Secure Private Cloud and Infrahub Compute are custom-quoted multi-GPU commitments sized for enterprise AI factory builds. Compared with AWS or Azure GPU instances, you trade self-service breadth and global regions for EU/Canada residency, B300-class hardware and a named account team.
Has NexGen Cloud's pricing changed?
No plan price for NexGen Cloud has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick NexGen Cloud?
Pick NexGen Cloud if you are Regulated EU and Canadian enterprises in finance and healthcare needing sovereign AI infrastructure, Large-scale AI training needing clusters that scale to thousands of GPUs, Teams that want liquid-cooled B300 or GB300 NVL72 capacity in Europe, Organizations that would rather buy a fully managed Kubernetes cluster than build a DIY stack.
Look elsewhere if you are Individual developers hunting the cheapest per-hour GPU with instant self-checkout, Projects that require US cloud regions or a US-owned data centre footprint, Small single-GPU workloads that can't justify single-tenant infrastructure, Teams standardised on AMD Instinct or TPU accelerators rather than NVIDIA GPUs.
Skip it if Skip NexGen Cloud if you need a US-region GPU footprint, run AMD Instinct or TPU hardware, or just want a single cheapest-per-hour GPU without a discovery call and POC.
GeneratedReal-world workflow fit
Concrete scenarios for the personas NexGen Cloud actually fits — and what changes day-one when you adopt it.
You need to prove B300-class training throughput fits your compliance posture. You take a POC on a customised single-tenant environment after a discovery call with a solutions consultant, then run your training job on the cluster.
Outcome: You get benchmark numbers and a configuration proposal before signing anything, and the POC environment maps to the production cluster rather than a shared pool.
You spin up on-demand H100 SXM instances on Hyperstack, deploy on on-demand Kubernetes with one-click deployment, and run your inference benchmark under pay-as-you-go billing.
Outcome: You size the workload on published per-GPU rates, then use those numbers to argue for a Secure Private Cloud contract.
You hand over an existing hybrid setup and use the contracted onboarding to migrate, with migration and integration support and on-demand bursting to cover traffic spikes while the cluster settles.
Outcome: A fully managed single-tenant Kubernetes cluster on renewable-powered EU or Canadian capacity, with bursting covering the gap between baseline and peak.
Use cases
- Train large language models on single-tenant GPU clusters with enterprise-grade isolation and a named account team.
- Deploy low-latency inference endpoints on on-demand NVIDIA H100 GPUs through Hyperstack, then scale to private cloud when volume justifies it.
- Run HPC workloads in an EU or Canadian sovereign cloud environment aligned with data residency requirements.
- Meet EU financial services compliance expectations for AI infrastructure, per NexGen's February 2026 case study.
- Migrate AI workloads to renewable-powered infrastructure to meet ESG reporting goals.
- Benchmark on Hyperstack on-demand H100 SXM, H100 PCIe or A100 instances before committing to a single-tenant contract.
- Build a custom AI factory with hardware and software flexibility via Infrahub Compute.
- Absorb training and inference spikes with on-demand bursting on a single-tenant cluster.
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 on-demand: fastest route — pick an H100 or A100 instance and start benchmarking, with documentation available for self-serve setup. Secure Private Cloud: days to weeks, since the sequence is discovery call, tailored configuration proposal, POC on a customised environment, then contracted onboarding with migration support.
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.
- →From AWS or Azure GPU instances: use the POC to map your workload onto single-tenant capacity, then the contracted onboarding phase covers migration and integration.
- →From a DIY on-prem cluster: Infrahub Compute can source and deploy the physical hardware, with NexGen operating it and exposing it through Hyperstack.
- →From Hyperstack on-demand: move from pay-as-you-go instances to a single-tenant Secure Private Cloud cluster once benchmarks justify the commitment.
- ↗To AWS or Azure: hybrid and multicloud integration support is offered, so you can run NexGen alongside a hyperscaler rather than cutting over in one step.
- ↗To another EU GPU provider: export your Kubernetes manifests and container images; no proprietary inference layer locks the workload in.
Integrations
Tutorials & Learning
YouTube returned 6 videos for “NexGen Cloud”, and we withheld 6: 6 could not be judged, because “NexGen Cloud” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about NexGen Cloud.
Official links
What are the best NexGen Cloud alternatives?
The closest alternatives to NexGen Cloud we list are CoreWeave, H2o Llmstudio and Nscale. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| CoreWeave | Paid | Pricing not published | — |
| H2o Llmstudio | Freemium | Pricing not published | — |
| Nscale | Contact Sales | Custom pricing | — |
Alternatives to NexGen Cloud
View all
CoreWeave
CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale
H2o Llmstudio
No-code LLM fine-tuning GUI for private, air-gapped model customization — H2O LLM Studio delivers sovereign AI training.
Tools that pair well with NexGen Cloud
Common stack mates teams adopt alongside NexGen Cloud, with the specific reason each pairing earns its keep.
CoreWeave
CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale
H2o Llmstudio
No-code LLM fine-tuning GUI for private, air-gapped model customization — H2O LLM Studio delivers sovereign AI training.
Nscale
Sovereign AI cloud: Nscale owns the data centers and power, then sells reserved GPU capacity, managed inference and fleet operations on top.
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