Private LLM hosting vs Oracle Cloud Infrastructure
We rent DGX Sparks, so weigh that against everything below. Oracle Cloud Infrastructure (OCI) is a full enterprise cloud platform, and GPU shapes are one line item in a catalog that also covers databases, networking, and Oracle's own application stack. That breadth is the point if you're already running workloads on OCI. If all you need is one machine to serve one or a few open-weight models for one team, a Spark skips the platform entirely: one box, one rate, no console to learn.
Side by side
| Oracle Cloud Infrastructure | Dedicated DGX Spark (GPUwerk) | |
|---|---|---|
| What it's built for | A general-purpose enterprise cloud with GPU compute as one product line among many, sized from single instances up to large training clusters. | One dedicated machine for one team's inference workload, nothing else on the bill. |
| GPU hardware | A range of NVIDIA GPU shapes across generations and sizes; specific availability by region and shape changes over time, check Oracle's current shape list. | NVIDIA DGX Spark: Grace Blackwell, 128GB unified memory, one unit per instance. |
| Commitment and minimums | Pay-as-you-go shapes exist alongside committed-contract pricing and credit programs; terms and minimums vary, check Oracle's current offer directly. | No minimum term. $0.79/hour on-demand, billed per minute, cancel any time. |
| Where data is processed | Whichever OCI region you provision in; current EU region and GPU-shape availability should be confirmed on Oracle's own site. | EU-Central (Prague), on one dedicated machine, no region choice because there's only the one. |
| Who can see your data | Governed by Oracle's own cloud services agreement and data processing terms; review those directly for the specifics of access and subprocessors. | Nobody at GPUwerk. Our DPA states GPUwerk hosts the machine but does not access, read, copy, index, or analyse the content of the controller's instance. |
| Pricing model | Per-instance-hour by shape, with published on-demand rates alongside committed-use discounts and credit programs. Check Oracle's pricing page for a current figure by shape. | One flat hourly rate regardless of workload: $0.79/hour on-demand, $0.59/hour held. Per pricing. |
| Operational model | Full OCI console: IAM policies, virtual cloud networks, block and object storage products, Kubernetes engine, layered on top of raw compute. | Root SSH access to a container on the Spark. No platform layer to configure; you run vLLM, LiteLLM, or whatever stack you choose yourself. |
The worked cost example
Take a team that wants one always-on model endpoint for internal use. On a Spark, running spark-1x continuously for a full month is 730 hours × $0.79/hour = $576.70, before tax, per pricing. One number, fixed, regardless of request volume or which open-weight model is loaded.
OCI doesn't have a single comparable figure because its GPU-instance pricing depends on the shape you pick, the region, and whether committed-use discounts or credits apply. If your workload needs OCI's networking, storage, or database integrations alongside the GPU, or you're already running infrastructure there, staying on OCI likely beats standing up a separate Spark for the integration savings alone. If you need exactly one GPU-class machine for inference and don't want an enterprise cloud account to manage it, the Spark's flat $576.70/month is the simpler number to plan around. Run your actual shape and region through Oracle's own pricing page for a real comparison.
Migration path
Model weights for open models move freely between the two: a checkpoint trained or fine-tuned on an OCI GPU shape can be copied to a Spark and served there with vLLM, and vice versa. What doesn't move is anything built on OCI's platform layer, its IAM policies, VCN configuration, or Kubernetes engine, none of which has an equivalent on a single Spark because a Spark is one machine, not a cloud account.
When Oracle Cloud Infrastructure is the right choice
- You're already running other workloads on OCI and want the GPU instance integrated with existing networking, storage, and IAM.
- Your workload needs multiple GPUs with fast interconnect, or you have OCI credits that make the effective rate attractive.
- You want an enterprise cloud platform handling identity, networking, and compliance tooling rather than building that yourself.
When a dedicated Spark is the right choice
- You need one machine for one team's inference workload, not a cloud account, and don't want to learn a new console to get there.
- You want a fixed, predictable hourly number with no shape catalog or credit math to work through.
- You want the shortest possible answer to who can access your data: one dedicated machine, root access under your own SSH keys, hosted in EU-Central.
FAQ
Is OCI a good fit for a single small LLM deployment?
It can work, but OCI's GPU shapes are built as part of a broader enterprise cloud platform with its own console, IAM model, and networking setup, which carries overhead if all you need is one machine to run inference. A single dedicated Spark skips that platform entirely. Check Oracle's own site for current GPU shape availability and pricing before deciding.
Does Oracle Cloud Infrastructure have EU regions?
Oracle operates multiple EU regions as part of OCI, though which regions carry which GPU shapes at what capacity changes over time, so confirm current EU GPU availability directly on Oracle's site. A GPUwerk Spark is fixed in EU-Central, Prague, with no region selection to make.
What GPUs does OCI offer versus a DGX Spark?
OCI offers a range of NVIDIA GPU shapes, from single-GPU instances up to large multi-GPU clusters aimed at training and large-scale inference; specific generations and shapes available change over time, check Oracle's own shape list. A DGX Spark is a single desktop-form-factor unit built around Grace Blackwell with 128GB of unified memory, sized for one team running one or a few open-weight models.
Is a Spark cheaper than an OCI GPU instance?
Depends on the shape and commitment. OCI's GPU pricing varies by instance type, region, and whether you're on pay-as-you-go or a committed contract with credits applied, so check Oracle's current pricing page for a number you can trust. A single GPUwerk Spark runs $0.79/hour on-demand with no minimum term, a flat number regardless of workload.
Can I move a model between OCI and a Spark?
Yes, for open-weight models. The weights themselves are portable between any two Linux GPU instances. What doesn't move is anything built on OCI's platform layer: its IAM policies, VCN networking, or Kubernetes engine, none of which has an equivalent on a single Spark.
GPUwerk's own figures on this page ($0.79/hour, $0.59/hour, $576.70/month) come from our published pricing. Oracle does not publish a single comparable per-machine rate; its GPU pricing depends on shape, region, and commitment, so check Oracle's own pricing page directly rather than relying on a figure here.