Technology & Software

Server infrastructure for AI & Machine Learning

Sized from the workload rather than sold as a plan name: what AI & Machine Learning actually run, what that needs, and which tier it belongs on.

Choose your city →

Recommended builds by size

Three sizes of operation, each sized from an assumed traffic figure.

Small

1–10 people · ~5,000 visits a month

VDS

2 Cores
32 GB RAM
450 GB storage

A single site or team, with traffic that arrives in a predictable working-hours pattern.

Medium

11–50 people · ~50,000 visits a month

Dedicated Server

6 Cores
96 GB RAM
1500 GB storage

A growing business running several systems, where an outage now costs real money.

Large

51+ people · ~500,000 visits a month

Bare Metal

20 Cores
320 GB RAM
4000 GB storage

Multiple sites or a busy platform, with traffic that spikes and an obligation to stay up.

Which tiers suit AI & Machine Learning

Infrastructure	Verdict	Why
Shared Hosting Managed space on a shared server	Not this one	There is no version of this workload that fits on shared hosting.
VPS Flexible virtual infrastructure with full root access	Workable	Useful for development, notebooks and light inference, but not for training or sustained compute.
VDS Virtual server with resources pinned to you alone	Workable	Suits CPU-bound preprocessing and data preparation with a guaranteed share of the machine.
Dedicated Server An entire physical server, configured to your specification	Recommended	Production compute wants the whole machine, with memory bandwidth that is not being shared.
Bare Metal Physical compute for sustained, demanding workloads	Recommended	Training, inference and simulation belong on physical hardware, with GPUs available on request.

AI & Machine Learning workloads you can host

Training saturates hardware for hours at a time and inference wants it available instantly — two opposite demands usually met with two different machines.

Model training
Inference endpoints
Vector databases
Dataset storage
Experiment tracking
GPU scheduling

AI & Machine Learning hosting by city

Each page names the closest of our 24 data centres and how far away it actually is.

Related industries

AI & Machine Learning hosting — FAQs

What server specification do AI & Machine Learning usually need?

It depends on volume more than on the industry. A medium-sized operation working from about 50,000 visits a month lands around 6 cores, 96 GB of memory and 1500 GB of storage.

How were these figures worked out?

From an assumed traffic level, the number of requests each page makes, and how much data the application keeps warm — then rounded up to a build we actually sell. They are assumptions stated out loud rather than measurements of your business.

Can we change size later?

Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address.