Private LLM hosting vs Nscale
We rent DGX Sparks, so weigh that against everything below. Nscale is a European AI infrastructure company building large-scale GPU data centre capacity, positioned around sovereign, European-operated compute for training and serving models at scale. A GPUwerk Spark sits at a very different point on the scale axis: one dedicated node, sized for a single team's private inference rather than a large training cluster.
Side by side
| Nscale | Dedicated DGX Spark (GPUwerk) | |
|---|---|---|
| Target scale | Large GPU clusters, built for enterprises and labs training or serving models at scale. | One node per rental, sized for a single team running one model. |
| Positioning | Sovereign, European-built and operated AI infrastructure, reducing reliance on non-European hyperscalers for large workloads. | The same underlying argument at a smaller scale: a single machine operated by a Prague-based company, with a published DPA rather than a marketing claim about sovereignty. |
| Locations | Nscale has reported data centre sites in the UK and Nordic countries including Norway; confirm the current list and which sites are EU versus EEA versus outside either on their own site. | EU-Central (Prague), Czech Republic, one fixed region. |
| Hardware | Data-centre GPU classes at cluster scale; check their current lineup directly. | NVIDIA GB10 Grace Blackwell, 128 GB unified memory, per node. |
| Pricing model | Cluster-scale pricing, not independently verified here; contact Nscale directly for a figure specific to your GPU class and cluster size. | Flat $0.79/hour on-demand, $0.59/hour held, per pricing. One rate regardless of model. |
| Minimum commitment | Likely sized for sustained, larger deployments; check their current terms if you're evaluating a small workload. | None. Pay by the hour, stop or terminate whenever. |
| Contracts and DPA | Nscale's own enterprise terms; check their site for their specific data processing commitments. | A standard GDPR Article 28 DPA published free at /legal/dpa, no negotiation required. |
Cost, worked from GPUwerk's own numbers
A Spark held for a full 730-hour month costs $576.70 at the $0.79/hour on-demand rate, or $430.70 at the $0.59/hour held rate, before tax, straight from pricing. Nscale's cluster pricing is not something GPUwerk has fetched or verified, and as with any cluster-scale provider, the relevant number depends heavily on GPU class, cluster size, and commitment length, not something reducible to a single per-hour figure without knowing your workload's actual shape. Contact Nscale directly for a quote specific to your deployment before comparing it against a single Spark's rate; the two products are built for different scales of problem, and the honest comparison starts with figuring out which scale your workload actually is.
When Nscale is the right choice
- Your workload is a training run or large-scale serving deployment that needs many GPUs working together.
- European sovereignty at cluster scale is a specific procurement requirement for your organisation.
- You have the sustained demand and budget to justify a cluster-scale commitment.
When a dedicated Spark is the right choice
- Your workload is a single team's private inference, not a multi-GPU training cluster.
- You want to start today, at an hourly rate, with no minimum commitment or enterprise sales cycle.
- You want a specific, published answer to who can access your data, rather than a general sovereignty claim: one machine, your root keys, a DPA that states GPUwerk does not read your instance's content.
FAQ
What is Nscale?
Nscale is a European AI infrastructure company building large-scale GPU data centre capacity, with sites reported in the UK and Nordic countries including Norway, marketed around sovereign, European-operated AI compute for training and inference at scale.
Is Nscale aimed at the same customer as a GPUwerk Spark?
Not quite. Nscale's public positioning is around large GPU clusters for enterprises and labs training or serving models at scale. A GPUwerk Spark is a single dedicated node aimed at one team running one model. If your need is a large training cluster, Nscale's scale is the relevant comparison; if it's one node for private inference, the two aren't really sized for the same job.
Does Nscale offer single-node rentals like a DGX Spark?
Check their current product pages directly. Nscale's public marketing emphasises cluster-scale infrastructure; whether they offer a small, single-node product comparable to a Spark rental is worth confirming with them rather than assuming either way from a secondhand description.
How does Nscale pricing compare to a GPUwerk Spark?
Nscale's cluster pricing is not something GPUwerk has independently verified; check their current site or sales contact for figures specific to your GPU class and cluster size. GPUwerk charges a flat $0.79/hour on-demand for one DGX Spark node, per /pricing/, which is a different scale of product and price point.
What does sovereign AI infrastructure mean in this context?
It generally refers to compute capacity built, owned, and operated within a given jurisdiction, reducing dependence on non-domestic cloud providers for sensitive workloads. GPUwerk's version of that argument is narrower and more concrete: one machine, operated by a Prague-based company, with a published DPA stating GPUwerk does not access the content of your instance. Compare the specific claims each provider makes rather than the word alone.
GPUwerk's own rates and the 730-hour monthly figures on this page come directly from gpuwerk.com/pricing. GPUwerk has not independently verified Nscale's current pricing, data centre list, or hardware lineup; check nscale.com for figures specific to your deployment.